Cost: 3600 AED

Duration: 2 Days

• Free Transcript
• Free CPD Accredited PDF Certificate
• FREE Course: Machine Learning for Beginners
• FREE Course: Python Basic to Advanced for Data Science Online Course

• Grasp the basic concepts of artificial intelligence 
• Enhance your understanding of knowledge representation in AI
• Receive detailed lessons on machine learning 
• Learn the basic principles of building AI applications 
• Explore the vital aspects of deep learning, robotics and computer vision

• Affordable, well-structured and high-quality e-learning study materials
• Meticulously crafted, engaging and informative tutorial videos and materials
• Efficient exam systems for the assessment and instant result
• Earn UK & internationally recognised accredited qualification
• Easily access the course content on mobile, tablet, or desktop from anywhere, anytime
• Excellent career advancement opportunities
• Get 24/7 student support via email
• What Skills Will You Learn from This Course?
• Machine Learning 
• AI Applications
• Deep Learning 
• Robotics

• Machine Learning Engineer
• Data Scientist
• AI Research Scientist
• AI Product Manager
• AI Consultant

Cost: 14 GBP

Duration: Upto 3 Hours

• Familiarise yourself with the basic concepts of machine learning 
• Learn the fundamentals of setting up Python & ML algorithms
• Receive detailed lessons on simple linear regression and multiple linear regression
• Enhance your knowledge of classification algorithms
• Improve your skills in clustering 
• Explore the vital areas of the recommender system

• Affordable, well-structured and high-quality e-learning study materials
• Meticulously crafted, engaging and informative tutorial videos and materials
• Efficient exam systems for the assessment and instant result
• Earn UK & internationally recognised accredited qualification
• Easily access the course content on mobile, tablet, or desktop from anywhere, anytime
• Excellent career advancement opportunities
• Get 24/7 student support via email

• Data Scientist
• Machine Learning Engineer
• Artificial Intelligence Specialist
• Data Analyst

Cost: 14 GBP

Duration: Upto 2 Hours

• ⇒ Course 01: Neuroscience of Learning
• ⇒ Course 02: Neurology
• ⇒ Course 03: Human Anatomy and Physiology
• ⇒ Course 04: Neuro-linguistic Programming (NLP) Diploma
• ⇒ Course 05: Neuropsychology and Development of Children
• ⇒ Course 06: Neuroplasticity: How To Rewire Your Brain
• ⇒ Course 07: Neuroscience for Personal Branding
• ⇒ Course 08: Pharmacology
• ⇒ Course 09: Genetics
• ⇒ Course 10: Essential Principles of Immunology
• ⇒ Course 11: Clinical Observations Skills
• ⇒ Course 12: Treating Post Traumatic Stress Disorder
• ⇒ Course 13: Bipolar Disorder
• ⇒ Course 14: Child Language Disorder (CLD)
• ⇒ Course 15: Concussion and Brain Injury Awareness
• ⇒ Course 16: Brain Fitness: Train Faster Thinking, Better Memory & Focus
• ⇒ Course 17: Cognitive Behavioural Therapy (CBT) Training
• ⇒ Course 18: Dialectal Behaviour Therapy (DBT)
• ⇒ Course 19: Paediatric First Aid Level 3
• ⇒ Course 20: Overcome Insomnia and Sleep Better
• ⇒ Course 21: Pain Management
• ⇒ Course 22: Cerebral Palsy Awareness
• ⇒ Course 23: Medical Terminology Training
• ⇒ Course 24: Basic Biology Course
• ⇒ Course 25: DNA and Genealogy Course
• ⇒ Course 26: Biomedical Science
• ⇒ Course 27: Medication Administration Level 4
• ⇒ Course 28: Play Therapy
• ⇒ Course 29: Dyslexia Awareness Course

• Standout by earning a CPD Accredited Certificate upon completion.
• Gain lifetime access to the course materials and keep your skills on-check anytime.
• Our tutors are available 24/7 to answer your questions throughout the program.
• The program has been designed to be clear and easy to understand Receive a free Student ID Card as part of the program (£10 applicable for international delivery).

• Module 1 Introduction to Neuroscience and Learning
• Module 2 Basics of Neuroscience
• Module 3 Neuroplasticity and Learning
• Module 4 Cognitive Development and Learning
• Module 5 Attention and Focus
• Module 6 Emotions and Learning
• Module 7 Motivation and Reward Systems
• Module 8 Learning Disorders and Neurodiversity
• Module 9 Brain-Based Learning Strategies

• PDF Certificate: Free (Previously it was £*30 = £)
• Hard Copy Certificate: Free (For The Title Course: Previously it was £)

Cost: 698 AED

Duration: Upto 150 Hours

• ⇒ Course 01: Working with Individuals with Learning Disabilities Level 2
• ⇒ Course 02: Learning Disability Awareness
• ⇒ Course 03: Understanding Learning Difficulties Level 3
• ⇒ Course 04: Learning Support Assistant
• ⇒ Course 05: SEN Support & Teaching Methodologies
• ⇒ Course 06: SENCO (Special Educational Needs Coordination) Training Online
• ⇒ Course 07: Applied Behaviour Analysis (ABA) Expert Training Certification
• ⇒ Course 08: Early Childhood: Child Care
• ⇒ Course 09: Play Therapy
• ⇒ Course 10: Understanding Autism Awareness and Diagnosis
• ⇒ Course 11: Child Psychology
• ⇒ Course 12: Assessing Mental Capacity
• ⇒ Course 13: Children and Adolescents Counselling Course
• ⇒ Course 14: Teaching Assistant
• ⇒ Course 15: Classroom Behaviour Management
• ⇒ Course 16: ADHD Awareness
• ⇒ Course 17: Phonics Teaching Assistant
• ⇒ Course 18: Dyslexia Awareness Course
• ⇒ Course 19: Remote Teaching Online
• ⇒ Course 20: Paediatric Care Course
• ⇒ Course 21: Mental Health and Psychiatry Training
• ⇒ Course 22: Safeguarding Children Level 3
• ⇒ Course 23: Primary Teacher
• ⇒ Course 24: Safeguarding Children: Internet Safety Course
• ⇒ Course 25: Youth Work & Leadership
• ⇒ Course 26: Cognitive Behavioural Therapy (CBT) Training
• ⇒ Course 27: Dialectal Behaviour Therapy (DBT)
• ⇒ Course 28: Child Playwork
• ⇒ Course 29: EYFS Teaching – Level 3
• ⇒ Course 30: Mental Health Nursing and Support Worker

• Standout by earning a CPD Accredited Certificate upon completion.
• Gain lifetime access to the course materials and keep your skills on-check anytime.
• Our tutors are available 24/7 to answer your questions throughout the program.
• The program has been designed to be clear and easy to understand Receive a free Student ID Card as part of the program (£10 applicable for international delivery).

• Working with Individuals with Learning Disabilities Level 2
• Module 01: Learning Support Assistant: Workplace & Work
• Module 02: Teaching Methodologies
• Module 03: Skills of a Learning Support Assistant
• Module 04: The Role and Responsibilities of the Learning Support Assistant
• Module 05: SEN Teaching
• Module 06: How to Support Pupils with Special Needs Part 1
• Module 07: How to Support Pupils with Special Needs Part 2
• Module 08: Safeguarding Children & Young People

• PDF Certificate: Free (Previously it was £*30 = £)
• Hard Copy Certificate: Free (For The Title Course: Previously it was £)

Cost: 698 AED

Duration: Upto 150 Hours

• ⇒ Course 01: CNC Programming
• ⇒ Course 02: C# Programming – Beginner to Advanced
• ⇒ Course 03: Advanced Linear Programming
• ⇒ Course 04: Computer Science With Python
• ⇒ Course 05: AutoCAD VBA Programming – Beginner course
• ⇒ Course 06: JavaScript Functions
• ⇒ Course 07: Assembly Programming For All Platforms
• ⇒ Course 08: Kotlin Programming: Android Coding
• ⇒ Course 09: Complete AutoLISP Programming
• ⇒ Course 10: Python Programming for Everybody
• ⇒ Course 11: Secure Programming of Web Applications
• ⇒ Course 12: R Programming for Data Science
• ⇒ Course 13: SQL Programming Masterclass
• ⇒ Course 14: C++ Complete Coding Course
• ⇒ Course 15: Basic C# Coding
• ⇒ Course 16: JavaScript Foundations for Everyone
• ⇒ Course 17: Master JavaScript with Data Visualization
• ⇒ Course 18: Coding with HTML, CSS, & JavaScript
• ⇒ Course 19: Machine Learning with Python
• ⇒ Course 20: 3D Modeling for 3D Printing
• ⇒ Course 21: Digital Art – Sketching In Photoshop
• ⇒ Course 22: Solidworks Drawing Tools Training: Test Preparation
• ⇒ Course 23: Revit Architecture Advanced Exterior Design Course
• ⇒ Course 24: Level 5 CAD Designer Training
• ⇒ Course 25: AutoCAD VBA Programming – Beginner course
• ⇒ Course 26: Programming AutoCAD to Excel using
• ⇒ Course 27: Cyber Security Awareness Training
• ⇒ Course 28: Modern Web Designing – Level 2
• ⇒ Course 29: Cloud Computing / CompTIA Cloud+ (CV0-002)
• ⇒ Course 30: Automation

• Master the fundamentals of CNC programming and advanced coding techniques.
• Develop skills in AutoCAD VBA programming and 3D modelling for practical applications.
• Learn to write secure and efficient code in Python, C#, and JavaScript.
• Gain expertise in assembly programming across various platforms.
• Understand and apply machine learning concepts using Python in industrial settings.
• Acquire knowledge in automation and modern web design for comprehensive skill development.

• Section 01: Scope of the Course
• Section 02: Numerical Control of Machine Tools
• Section 03: CNC- Computer Numerical Control Syst
• Section 04: Components of CNCs
• Section 05: Point to Point CNC Machines
• Section 06: Incremental & Absolute CNC Machines
• Section 07: Open & Close Control Loop CNC Machines
• Section 08: 2 &3 Axes CNC Machines
• Section 09: Importance of Higher Axes Machining
• Section 10: Programming Format
• Section 11: Cartesian Coordinate System
• Section 12: How to Write a Program
• Section 13: Basic CNC Programming (Absolute Mode)
• Section 14: Basic CNC Programming (Incremental)
• Section 15: A Simple Coding Exercise
• Section 16: Applications of CNC

• PDF Certificate: Free (Previously it was £*30 = £)
• Hard Copy Certificate: Free (For The Title Course: Previously it was £)

• Manufacturing professionals
• Engineering students
• Software developers
• Design engineers
• Technology enthusiasts

• CNC Programmer: £30,000 - £45,000
• CAD Designer: £25,000 - £40,000
• Automation Engineer: £35,000 - £55,000
• 3D Modeler: £28,000 - £50,000
• Software Developer: £30,000 - £55,000

Cost: 698 AED

Duration: Upto 150 Hours

• Empowers professionals to lead in the rapidly evolving world of gen ai and Agentic Systems.
• Offers immersive, project-based learning—no passive lectures, only real creation.
• Keeps pace with the latest in generativeai and AI agents to meet industry demand.

• Hands-on mastery of LLMs, GANs, diffusion models, and autonomous agents.
• Build real-world projects: chatbots, AI art, smart assistants, and more.
• Learn using top-tier tools: OpenAI API, Stable Diffusion, LangChain, and Hugging Face.
• Gain skills in LLM fine-tuning, reinforcement learning, and responsible AI practices.
• Deploy models effectively on cloud and edge platforms.
• Earn a career-recognized certificate and enjoy lifetime course access.

• AI/ML Foundations Refresher 
  • Deep Learning Overview
  • Convolutional Neural Networks (CNNs) & Recurrent Neural Networks (RNNs)
  • Transformers & Attention Mechanism
  • Autoencoders & Variational Autoencoders (VAEs)
  • Evaluation Metrics for Generative Models

• Core Generative AI Topics
  • Generative Adversarial Networks (GANs)
  • GAN Architecture
  • Advanced GAN Architectures
  • Hands-on Project
  • Diffusion Process
  • Popular Diffusion Models
  • Hands-on Project
  • Large Language Models (LLMs) & Transformers
  • NLP Techniques
  • LangChain and RAG Architecture
  • Hands-on Project
  • Multimodal AI – s
  • Vision-Language Models
  • Applications in Content Creation
  • Text-to-Image, Text-to-Video, and Text-to-Audio generation (, OpenAI Sora, DALL·E 2)
  • Benefits and challenges of multimodal AI
  • Hands-on Project

• Hands-on Projects & Advanced Concepts 
  • Fine-tuning an LLM on Domain-Specific Data
  • Building Autonomous Chatbots with Retrieval-Augmented Generation (RAG)
  • AI-Generated Media Projects
     
• Agentic AI: Autonomous Decision-Making 
  • Introduction to Agentic AI & Autonomous Systems
  • Reinforcement Learning for Autonomous Decision-Making
  • Multi-Agent Systems & Collaboration
  • LangChain for Autonomous Agents

• Responsible AI & Deployment Best Practices
  • Ethical AI
  • Deployment Techniques

• Deep expertise: training led by AI industry professionals with over a decade of experience.
• State-of-the-art resources: access to cutting-edge tools and real-world case studies.
• Ongoing support: lifetime access, career guidance, and flexible payment plans.
• Proven credibility: highly rated and trusted by thousands of learners

Cost: 3500 AED

Duration: 40 Hours

Empower yourself with cutting-edge Generative AI knowledge through a leadership-focused curriculum designed for business and functional heads. This certificate provides a real-world understanding of GenAI applications, strategy development, and project planning using the A.D.A.P.T Framework. Perfect for professionals leading innovation and transformation in their organizations.

Our Course is Unmatched, Here's Why:

• Thought Leadership and Personal Brand
• Comprehensive Coverage
• Leadership-Centric Content
• Personalised Capstone Project
• In-Depth Case Studies and Practical Workshops
• Real-World Application of Gen AI
• Leading Industry Experts and Academics
• Hands-On Immersion Experience
• A.D.A.P.T Framework

Cost: 2300 USD

Discount: Fee waivers up to 60% available - check your eligibility!

Duration: 5 Months

Program highlights:

• Up to 60% scholarship
• Up-to-date modules integrated with Generative AI
• Learn about 10+ Generative AI tools
• Project-based learning pedagogy
• 6+ Hands-On End-to-End Generative AI Projects
• Generative AI certificate upon completion
• Gen AI masterclasses by industry experts
• 180+ hours of learning
• Complimentary Python Prep
• Dedicated student support is available
• upGrad Institute alumni status
• Fee waiver available.

Faculty:

Willard Tan: An education specialist and DBA candidate with Golden Gate University, having graduated with an MSc in Computer Science with Cyber Security from Wrexham University, Wales, and an MRes (Education) from the University of Liverpool, England.

Aditya Bhattacharya: An AI industry leader, having graduated with an MSC in Computer Science from Georgia Institute of Technology.

About upGrad Institute:

upGrad Institute (UI), located in Singapore, is a premier Private Education Institution (PEI), built to accelerate the global delivery and adoption of world-class career-skilling programs powered by innovation. UI holds a 4-year EduTrust certificate, and its programs are developed with a strong outcome-focused approach that will empower learners with industry-ready formal education and skills, creating immersive learning experiences anytime and anywhere.

What job titles can this course prepare students for?

The program prepares you for several in-demand roles:

• Gen AI Engineer
• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Gen AI Internships
• Gen AI Researcher

Cost: 2300 USD

Discount: Fee waivers up to 60% available - check your eligibility

Duration: 6 Months

• Growing Demand in the EV Industry: The electric vehicle sector is expanding rapidly, particularly in regions like UAE and Dubai, creating a strong demand for skilled professionals.
• Industry-Relevant Skills: This course equips you with the practical skills and knowledge needed to excel in EV engineering and system integration, ensuring you are well-prepared for the workforce.
• Real-World Application: The course offers hands-on experience with industry-standard tools like MATLAB, Simulink, Ansys, and Python, making you job-ready for advanced roles in the EV industry.
• Comprehensive Coverage: From EV architecture to powertrain systems, battery management, and thermal strategies, this course covers all crucial aspects of EV technology.
• Career-Ready Preparation: The course includes job roles and responsibilities specific to the EV industry, giving you a clear path to success in an expanding market.
• Sustainable Future: Gain insights into sustainability and innovations in EV manufacturing and circular economy, making you an asset to companies prioritizing green technologies.

• Industry-Focused Learning: Gain practical experience working with tools like MATLAB, Simulink, and Ansys, ensuring a deep understanding of EV systems and components.
• Hands-On Projects: Develop 5+ real-world industry use cases across diverse EV scenarios.
• Expert Instructors: Learn from industry experts with over a decade of experience in the EV and tech sectors.
• Job Market Preparedness: Familiarity with job roles and responsibilities in the EV industry, preparing you for immediate career opportunities.
• Lifetime Access: Enjoy lifetime access to course materials and future updates, ensuring your skills remain current.

• EV vs. Internal Combustion Engine (ICE) Overview
• EV Types: BEV, HEV, PHEV, FCEV – Pros & Cons
• Vehicle Development Process (Concept → Design → Testing → Deployment)
• Systems Integration Overview
• Case Study: Tesla vs. Traditional Automakers – EV Design Evolution

• Hybrid Components & Architectures
• Major Powertrain Components (Motors, Batteries, Power Electronics)
• Controls Integration & Component Sizing Trade-offs
• System Design Considerations (Energy, Efficiency, Torque, Thermal)
• Software Lab: MATLAB/Simulink – EV Powertrain Simulation

• Vehicle-Level Integration (Performance, Drivability, NVH)
• Chassis & Powertrain Interaction (Braking, Steering, Ride Handling)
• HV/LV Electrical Systems – Safety & Charging Architecture
• In-Vehicle Displays & Information Systems (User Experience & Efficiency Aids)
• Software Lab: CAN Communication & Embedded Control for EVs

• Testing & Validation Processes (Component, System, Fleet Testing)
• Regulatory Standards: SAE, UL, IEC, FMVSS
• Safety Testing & Certification (Short Circuit, Overcharge, Fire Exposure)
• Hands-on Demo: Battery Testing & EV Component Testing

• Maxwell’s Equations & Magnetic Circuits
• Motor Types: PM Motors, Induction Motors, Switched Reluctance Motors
• Torque Production, Non-linear Magnetic Behavior, Losses & Efficiency
• Hands-on Lab: Motor Control using MATLAB/Simulink

• Lithium-Ion Battery Chemistry, Design & Safety Considerations
• Battery Pack Design (Thermal, Electrical, Structural Considerations)
• Battery Management Systems (BMS) – Functions, Control, & Estimation
• Simulation Lab: Battery Pack Simulation using Simulink & Ansys

• Power Converters: Buck, Boost, Inverter Design & Efficiency
• Semiconductor Devices: IGBTs, MOSFETs, SiC/GaN Trends
• Charging Infrastructure & Standards: SAE J1772, Inductive & DC Fast Charging
• Lab: Converter & Inverter Control Design in MATLAB/Python

• Embedded Controllers & Communication (CAN, LIN, FlexRay)
• AI in EVs: Predictive Maintenance, Battery Health Monitoring
• Real-time BMS & Motor Control using AI/ML Models
• Hands-on: Implementing AI-Based Battery Management using Python

• Battery & Power Electronics Thermal Considerations
• Active vs. Passive Cooling – Air, Liquid, PCM, Heat Pipes
• Case Study: Tesla vs. Lucid vs. Rivian – Thermal Strategies
• Simulation Lab: Battery Thermal Management in ANSYS

• Manufacturing Processes: Cell-to-Pack & Cell-to-Chassis Innovations
• Sustainability & Second-Life Batteries (Reuse, Recycling, Disposal)
• Industry Panel: Experts on EV Manufacturing & Circular Economy

• Energy Management Strategies for Extended Range
• Vehicle-to-Grid (V2G) & Bi-directional Charging
• Hands-on: Developing Smart Charging Algorithms in Python

Cost: 3000 AED

Discount: 50% Off for Laimoon Users!

Duration: 3 Months

• Know and understand artificial intelligence management fundamental concepts, standards, best practices
• and laws/regulations.
• Know and understand ISO/IEC 42001 requirements, and describe their function and operation.
• Know and understand ISO/IEC 42001 – Annex A controls, and describe their purposes and auditing methods.
• Know, understand and be able to participate in AIMS auditing projects and related activities.
• Know, understand and be able to audit AIMS projects and related activities.

• Introduction to AI
• AI Management System Overview
• AI Governance Frameworks and Regulations

• Context of the Organization
• Leadership
• Planning
• Support
• Operation
• Performance Evaluation
• Improvement

• Policies Related to AI
• Internal Organization
• Resources for AI systems
• Assessing Impacts of AI Systems
• AI System Life Cycle
• Data for AI Systems
• Information for Interested Parties of AI Systems
• Use of AI Systems
• Third Party Relationships

• MS Audit and Audit Types
• Audit Principles
• Auditor Competence and Evaluation
• Code of Ethics and Conflict of Interest

• Creating an Audit Programme
• Establishing Audit Programme
• Audit Programme Implementation
• Audit Programme Monitoring and Reviewing
• Conducting the AIMS Audit
• Initiation of Audit
• Audit Planning
• Audit Execution
• Audit Report
• Follow-up Audit

Cost: 2000 USD

Duration: 5 Days

• Know and understand artificial intelligence management fundamental concepts, standards, best practices and laws/ regulations.
• Know and understand ISO/IEC 42001 requirements, and describe their function and operation.
• Know, understand and be able to define a framework for implementing a AI Management System (AIMS) within an organisation.
• Know, understand and be able to interpret ISO/IEC 42001 controls and implement the AIMS based on the defined framework.
• Know, understand and be able to support the implementation team to continually improve the implemented management system.

• Introduction to AI
• AI Management System Overview
• AI Governance Frameworks and Best Practices

• Context of the Organization
• Leadership
• Planning
• Support
• Operation
• Performance Evaluation
• Improvement

• Policies Related to AI
• Internal Organisation
• Resources for AI Systems
• Assessing Impacts of AI systems
• AI System Life Cycle
• Data for AI Systems
• Information for Interested Parties of AI Systems
• Use of AI Systems
• Third Party Relationships

• Develop the Project Charter
• Ensure Management Commitment
• Identify the Interested Parties
• Conduct a Gap Analysis
• Prepare the PDCA Cycle

• Establish the Context of the Organization
• Define the AIMS Scope
• Establish the Objectives, Processes, and Procedures
• Establish the AIMS Policy
• Define the Risk Assessment Approach
• Create the AIMS Implementation Plan
• Management Authorization to Implement and
• Operate the AIMS

• AI Risk Management
• Implement the AI Management Policies and Procedures
• Manage AIMS Operations
• Awareness and Training
• Resource Management and Documented Information

• Monitor the AIMS
• Conduct Internal Audits
• Review the AIMS

• Implement the Identified Improvements
• Corrective and Preventive Actions
• Communicate the Actions and Improvements
• Ensure Continual Improvement of AIMS

Cost: 2000 USD

Duration: 5 Days

Cost: 1500 USD

Duration: 3 Days

Cost: 550 USD

Duration: 1 Day

Cost: 550 USD

Duration: 1 Day

Cost: 1999 USD

Duration: 5 Days

This three-day intensive programme provides delegates with the knowledge, skills, and abilities required to:

• Apply foundational ethical principles
• Follow industry-standard frameworks
• Identify and mitigate risks
• Navigate ethical organizational governance
• Devise and maintain ethical, trusted, and inclusive data-driven technologies

Key Topics Covered:

The Certified Ethical Emerging Technologist™ (CEET) course and exam cover the following five core areas:

• Fundamental Concepts for Data-Driven Technology Ethics
• Ethical Frameworks
• Risk Identification and Mitigation
• Communication
• Organizational Policy and Governance

Certification & Exam:

This course fully equips delegates to successfully sit for the CertNexus Certified Ethical Emerging Technologist (CEET) exam and earn the accompanying certification.

Cost: 2999 USD

Duration: 3 Days

This five-day intensive programme equips participants with the knowledge, skills, and abilities required to achieve the globally recognized Certified Artificial Intelligence Practitioner certification from CertNexus. The course covers four core domains essential for mastering AI and machine learning applications in business.

Key Topics Covered:

The Certified Artificial Intelligence Practitioner™ (CAIP) course and exam cover the following four key areas:

1. Understanding the Artificial Intelligence Problem

• Describe how artificial intelligence and machine learning are used to solve business (including commercial, government, public interest, and research) problems
• Analyze the use cases of ML algorithms to rank them by their success probability
• Research Learning Systems [Identify business case for image recognition; NLP; Speech recognition; Predictive & recommendation systems; Discovery & diagnostic systems; Robotics and autonomous systems]
• Analyze machine learning system use cases
• Communicate with stakeholders
• Identify potential ethical concerns

2. Engineering Features for Machine Learning

• Recognize relative impact of data quality and size to algorithms
• Explain data collection/transformation process in ML workflow (transformations include standardization; normalization; log, square-root, and logit transformations)
• Work with textual, numerical, audio, or video data formats
• Transform numerical and categorical data
• Address business risks, ethical concerns, and related concepts in data exploration/ feature engineering

3. Training and Tuning ML Systems and Models

• Design machine and deep learning models [Differentiate types of ML algorithms; differentiate types of DL algorithms; design for pattern recognition in predictive models]
• Optimize the algorithm (, structure, run time, tuning hyperparameters)
• Train, validate, and test data subsets
• Evaluate the model
• Address business risks, ethical concerns, and related concepts in training and tuning

4. Operationalizing ML Models

• Deploy a model
• Secure a pipeline (includes maintenance)
• Maintain the model postproduction
• Address business risks, ethical concerns, and related concepts in operationalizing the model

Certification & Exam:

This course fully prepares participants to successfully sit for the CertNexus Certified Artificial Intelligence Practitioner exam and earn the accompanying certification.

Classes are delivered as live online, instructor-led tuition.

Cost: 1999 USD

Duration: 5 Days

• Course 01: C# Programming
• Course 02: Stripe with C#
• Course 03: NET Core API Development
• Course 04: DevOps Fundamentals: Maven and SonarQube for Engineers
• Course 05: Front End Web Development Training for Everyone
• Course 06: HTML Web Development Crash Course
• Course 07: C++ Programming for Absolute Beginners
• Course 08: Computer Vision By Using C++ and OpenCV with GPU Support
• Course 09: Diploma in Computer Programming
• Course 10: Diploma in Python Programming
• Course 11: Data Science & Machine Learning with Python
• Course 12: Computer Science With Python
• Course 13: Code with Python: Learn Classes, Methods, and OOP
• Course 14: Spatial Data Visualization and Machine Learning in Python
• Course 15: Python Data Science with Numpy, Pandas, and Matplotlib
• Course 16: Machine Learning with Python Course
• Course 17: Learn AI with Python
• Course 18: JavaScript Foundations for Everyone
• Course 19: JavaScript Functions
• Course 20: Master JavaScript with Data Visualization
• Course 21: jQuery: JavaScript and AJAX Coding Bible
• Course 22: Refactor Javascript
• Course 23: Secure Programming of Web Applications – Developers and TPMs
• Course 24:  & WebGL 3D Programming
• Course 25: AutoCAD VBA Programming – Beginner Course
• Course 26: IT: Ethical Hacking & IT Security
• Course 27: Linux Security and Hardening
• Course 28: Network Security
• Course 29: WordPress Security Mastery
• Course 30: Cyber Security

• Master C# Programming and understand its core principles, from basic to advanced.
• Build secure, scalable web applications using C# Programming and .NET Core.
• Explore industry tools like Maven and SonarQube for code quality in DevOps practices.
• Develop strong front-end skills with HTML and JavaScript for responsive design.
• Gain knowledge in data science and machine learning, ideal for a wide range of tech roles.

• Get a Free CPD Accredited Certificate upon completion of this course
• Get a free student ID card with this Training program (£10 postal charge will be applicable for international delivery)
• This course is affordable and simple to understand
• This course is entirely online, interactive lesson with voiceover audio
• Get Lifetime access to the course materials
• This course comes with 24/7 tutor support

• Module 01: Introduction
• Module 02: Basics to Get Started
• Module 03: Logic
• Module 04: Methods (Basic)
• Module 05: Classes (Basics)
• Module 06: Variables (Basic)
• Module 07: Error Handling
• Module 08: Useful Methods
• Module 09: Text (Advanced)
• Module 10: Classes (Advanced)
• Module 11: Binary (Advanced)
• Module 12: Asynchronous (Advanced)
• Module 13: Search in Objects (LINQ)

• Module 01: Introduction
• Module 02: First Section
• Module 03: Stripe Checkout
• Module 04: Subscriptions
• Module 05: Misc.

• PDF Certificate: Free (Previously it was £*11 = £143)
• CPD Hard Copy Certificate: Free (For The First Course: Previously it was £)

• Beginners in programming who want a thorough grounding in C# Programming.
• Professionals seeking career advancement in fields like software development, IT security, and data science.
• Students and tech enthusiasts aiming to build competitive, market-relevant skills.
• Anyone keen to develop versatile programming skillset across multiple technologies.

• Software Developer – £35,000 to £65,000
• Web Application Developer – £30,000 to £55,000
• Data Scientist in Finance – £45,000 to £80,000
• Cyber Security Analyst – £40,000 to £75,000
• Machine Learning Engineer – £50,000 to £85,000

Cost: 680 AED

Discount: 90% Off for Laimoon Users!

Duration: Upto 130 Hours

1. Understand Tabnine AI’s role in improving code development.
2. Set up and integrate Tabnine with different IDEs.
3. Generate accurate and efficient code using Tabnine.
4. Utilize Tabnine’s AI-powered suggestions for code improvement.
5. Enhance your development process with code privacy safeguards.
6. Apply AI tools for algorithm generation and application development.

1. Unlimited access to the course for forever
2. Digital Certificate, Transcript, student ID all included in the price
3. Absolutely no hidden fees
4. Directly receive CPD accredited qualifications after course completion
5. Receive one to one assistance on every weekday from professionals
6. Immediately receive the PDF certificate after passing
7. Receive the original copies of your certificate and transcript on the next working day
8. Easily learn the skills and knowledge from the comfort of your home

1. Developers aiming to enhance coding efficiency with AI tools.
2. Programmers interested in AI-driven code generation.
3. Software engineers seeking streamlined development processes.
4. Beginners curious about AI’s impact on coding.
5. Professionals integrating AI with popular development environments.
6. Anyone looking to boost their productivity through AI-driven automation.

Cost: 89 AED

Duration: Upto 4 Hours

• Course 01: IT Support Technician Training
• Course 02: Computer Networks Security
• Course 03: CompTIA Network
• Course 04: Information Management
• Course 05: Web Application Penetration Testing Course
• Course 06: CompTIA Cloud+ (CV0-002)
• Course 07: Learn Ethical Hacking with Kali Linux
• Course 08: Complete Windows 10 Troubleshooting for IT HelpDesk
• Course 09: Building Your Own Computer Course
• Course 10: Learn Ethical Hacking From A-Z: Beginner To Expert
• Course 11: SQL Database Administrator
• Course 12: MS Word Diploma
• Course 13: GDPR Data Protection Level 5
• Course 14: Coding with Scratch
• Course 15: Diploma in Front-End Web Development (HTML, CSS, & Bootstrap)
• Course 16: Data Science & Machine Learning with Python
• Course 17: SQL NoSQL Big Data and Hadoop
• Course 18: PLC Programming Diploma
• Course 19: Cisco ASA Firewall Training Course
• Course 21: C# (C-Sharp)
• Course 22: Modern Web Designing – Level 2
• Course 23: Computer Science With Python
• Course 24: JavaScript for Everyone
• Course 25: Net MVC and Entity Framework Course
• Course 26: Learn Spring & Angular Material with a Full Web Application
• Course 27: Typescript
• Course 28: Machine Learning for Predictive Maps in Python and Leaflet
• Course 29: Building Web Applications with Django and PostgreSQL
• Course 30: Microsoft SQL Server Development for Everyone

• Course 01: Career Development Plan Fundamentals
• Course 02: CV Writing and Job Searching
• Course 03: Interview Skills: Ace the Interview
• Course 04: Video Job Interview for Job Seekers
• Course 05: Create a Professional LinkedIn Profile
• Course 06: Business English Perfection Course
• Course 07: Networking Skills for Personal Success

• Quench your thirst for knowledge
• Be up-to-date about the latest advancements
• Achieve your dream career goal in this sector
• Know the applicable rules and regulations needed for a professional in this area.
• Acquire some valuable knowledge related to Web Development to uplift your morale.

Cost: 680 AED

Duration: Upto 185 Hours

• 20 Hours of Expert Training: Led by industry expert Thavi.
• Certification: Earn a certificate from Learners Point Academy.
• Hands-On Learning: Real-world projects and case studies for practical experience.
• Comprehensive Curriculum: Explore AI-powered marketing tools and techniques.
• Flexible Payment Options: Easy instalment plans available.

• Introduction to AI in Digital Marketing: Understand AI’s role in modern marketing strategies.
• AI Technologies in Marketing: Explore tools like machine learning, NLP, and chatbots.
• Automating Marketing Tasks: Learn content optimization, email automation, and digital ad placement.
• User Behavior Analytics: Gain insights into customer journey analysis and audience segmentation.
• Customer Engagement with AI: Master chatbots, personalized content delivery, and recommendation engines.
• Real-World Case Studies: Analyze successful AI-powered campaigns and key learnings.
• Final Project: Create and present an AI-driven marketing strategy.

• Optimize Marketing Efforts: Use AI tools to automate repetitive tasks and improve efficiency.
• Enhance Customer Engagement: Deliver personalized content for higher audience retention.
• Boost Decision-Making: Gain insights through predictive analytics and user behavior analysis.

• Understanding AI & Machine Learning in Marketing
• Understand AI models in Marketing
• Types of Programming in AI
• How AI is Transforming Digital Marketing AI-Powered Analytics & Consumer Insights (Semrush, Google Analytics 4, Audience, etc.)
• Ethical Considerations & AI Compliance (GDPR, Data Privacy)

• AI approach in Content Marketing (Jasper, , Writesonic)
• AI-Powered SEO techniques (SurferSEO, Frase, MarketMuse)
• AI in Keyword Research, user queries & Topic research
• FAQs content for AI voice assistant optimisation
• AI-Powered Blog & Video Content Creation (Pictory, Synthesia)

• AI content technique for Social Media Marketing (Hootsuite, Sprout Social, )
• AI tools in Social Listening & Sentiment Analysis
• AI in Google Ads & PPC Automation ( Smart Bidding, goal optimisation, catalog ads, etc.)
• AI-Driven Personalization & Ad Targeting
• AI Chatbots & Conversational Marketing (ChatGPT, Drift, ManyChat)
• AI Prompt Engineering Techniques

• AI content in Email Marketing (Mailchimp AI, HubSpot, Klaviyo)
• AI-Powered Lead Scoring & Nurturing
• AI for Customer Experience (CX) Optimisation
• AI & Predictive Customer Behaviour Analysis

• Overview of AI Tools for Marketers
• Hands-on Experience with AI Tools & Platforms
• AI designing tools (Dall-E, Deepai, etc.)
• A/B test in content, campaign optimization & Analyses (AI v/s Manual)
• Future Trends in AI & Marketing

• Content Strategy with AI prompts
• Text & Visual content with AI
• Live Q&A & Case Studies Final Project Submission
• Certification

• Higher Employability: Mastering AI tools makes you highly desirable in the marketing field.
• Cutting-Edge Skills: Stay ahead by learning the latest AI-powered strategies.
• Leadership Opportunities: Prepare for roles as a Digital Marketing Specialist or AI Marketing Strategist.

Cost: 3000 AED

Discount: 60% Off for Laimoon Users!

Duration: 24 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Understand how ChatGPT works and how to utilise it in everyday tasks.
• Gain proficiency in integrating ChatGPT for business, research, and teaching.
• Learn how to maximise the potential of ChatGPT to enhance your career or entrepreneurial journey.
• Develop advanced skills in customising ChatGPT for specific industry needs.
• Use ChatGPT to optimise tasks and improve productivity across various professional domains.

• Comprehensive Learning: We cover every crucial aspect of ChatGPT Guide: Beginner to Advanced to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 20 USD

Duration: Upto 1 Month

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Master the core and advanced skills required in  Python for Data Visualization .
• Gain the ability to apply your knowledge in situations.
• Stay ahead with insights on the latest industry trends.
• Build essential soft skills to thrive in the competitive landscape of  Python for Data Visualization .
• Learn how to create a standout professional profile and grow your network.

• Comprehensive Learning: We cover every crucial aspect of Python for Data Visualization to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 20 USD

Duration: Upto 4 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Understand core concepts of machine learning, including supervised and unsupervised learning.
• Gain expertise in using Python for developing machine learning models.
• Master TensorFlow to implement and optimise neural networks.
• Learn techniques for evaluating and improving model performance.
• Complete a project on image classification using machine learning tools.

• Comprehensive Learning: We cover every crucial aspect of  Machine Learning with Python and TensorFlow   to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 20 USD

Duration: Upto 3 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Gain expertise in AR/VR design and development.
• Understand the principles of creating interactive immersive content.
• Explore the applications of AR/VR across multiple industries.
• Develop skills in user experience (UX) for immersive environments.
• Learn to analyse and forecast future trends in immersive technologies.

• Comprehensive Learning: We cover every crucial aspect of Exploring Immersive Technologies (ARVR) to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 20 USD

Duration: Upto 2 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Master the art of content creation using ChatGPT, from social media posts to email marketing.
• Develop advanced skills in AI-powered design and art creation using Midjourney.
• Learn strategies to monetise AI skills through freelancing, eBook writing, and digital product creation.
• Build comprehensive sales funnels and marketing campaigns with AI assistance.
• Understand emerging trends in AI and how to leverage them for sustained career growth.

• Comprehensive Learning: We cover every crucial aspect of ChatGPT & AI:23 Ways to Profit   to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 20 USD

Duration: Upto 6 Hours

• Internationally recognized certification from Anexas Europe.
• Interactive online live training with industry experts.
• Lifetime dashboard access to course materials.
• Project guidance with 25+ industry-based projects.
• Real-time project completion.
• Tools required for the training.

• Enhance your career with Data Science skills: Hone your problem-solving, analytical, and programming skills, and advance your professional skill set with a career in Data Science.
• Join the industry of your choice: Data Science tools and techniques are applicable across various industries, allowing you to choose and excel in the sector of your preference.
• Internationally available opportunities: Get international opportunities. Data Science is a globally recognized field with high demand in organizations worldwide, opening doors to international career prospects.
• Become an internal consultant or adviser to your company: Achieve better job roles and higher salaries by becoming a certified Data Science professional, offering your expertise as an internal consultant or adviser in data-driven decision-making.
• Deepen your business understanding: Data Science encourages you to think strategically and analytically, providing clear insights into business performance, trends, and opportunities through effective data analysis and modeling.
• Get Project Management experience: The more you advance in Data Science, the more experience you gain in managing com

Cost: 525 AED

Duration: Upto 55 Hours

• Comprehensive Curriculum: Gain practical skills with 15 weeks of intensive industry-led training.
• Hands-On Experience: Work on 5+ industry projects and a capstone project to build real-world expertise.
• Essential Tools Covered: Master Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• Career Support: Access CareerHub for resume building, job support, and interview preparation.
• Flexible Learning: Enjoy lifetime access to classes and easy payment options

• Develop expertise in machine learning models and data analysis.
• Master NLP and Deep Learning techniques for advanced data insights.
• Learn to use CNN and RNN models for complex problem-solving.
• Build confidence with industry-standard projects and a capstone project.

• Overview of Python: history, features, and use cases
• Installing Python and setting up the development environment
• Basic syntax: variables, data types, and simple operations.
• Hands-on: Writing a simple Python program to understand basic concepts

• Introduction to sequences: lists, tuples, sets, and dictionaries.
• File handling: reading and writing files in Python.
• Intro to Mathematical Concepts: Basic probability—how to generate random numbers and use them to simulate random events.
• Hands-on: A program simulating coin tosses or dice rolls to explore simple probability

• Defining and using functions: arguments, return values, and scope.
• Object-oriented concepts: classes, objects, inheritance, and polymorphism.
• Hands-on: Writing classes to represent basic statistical concepts (, creating a class for a random variable or distributions)

• Importing and using Python modules.
• Exception handling: try, except, and finally blocks.
• Hands-on: Use Python’s built-in statistics module for basic statistical operations (mean, median, variance)

• Introduction to NumPy and its applications.
• Creating and manipulating arrays.
• Mathematical Concepts
• Probability distributions
• Hands-on

• Basic Pandas operations
• Cleaning and transforming data
• Mathematical Concepts
• Hands-on

• Merging, joining, and reshaping data.
• GroupBy, pivot tables, and handling time-series data.
• Mathematical Concepts
• Hands-on

• Basic visualization
• Mathematical Concepts
• Hands-on

• Creating subplots, and advanced customizations in Matplotlib.
• Statistical visualizations in Seaborn
• Mathematical Concepts
• Hands-on

• Introduction to web scraping
• Using Selenium for scraping dynamic websites.
• Hands-on

• Introduction to Machine Learning
• Mathematics for Machine Learning
• Introduction to ML Tools

• Regression
• Classification
• Feature Engineering

• Ensemble Methods
• Hyperparameter Tuning
• Unsupervised Learning

• Time Series Analysis
• Big Data Tools
• Model Scalability

• Recurrent Neural Networks (RNNs)
• Convolutional Neural Networks (CNNs)
• Advanced Neural Network Architectures
• NLP Applications

• Ethics in AI
• Real-World Applications
• Capstone Projects

• Module: Data Preparation using Tableau Prep
• Module: Data Connection with Tableau Desktop
• Module: Basic Visual Analytics
• Module: Calculations in Tableau

• Module: Advanced Visual Analytics
• Module: Level of Detail (LOD) Expressions in Tableau
• Module: Advanced Charts in Tableau
• Module: Dashboards and Stories

• Expert Guidance: Learn from seasoned trainers who blend theory with practical insights.
• Interactive Learning: Participate in engaging sessions, hands-on projects, and collaborative activities.
• Job Assistance: Our CareerHub ensures you’re ready for the job market with the right tools and resources.
• Comprehensive Curriculum: Stay ahead of industry trends with the latest AI and ML techniques.

Cost: 3000 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 4 Months

• Understand and use essential Python data science libraries.
• Perform data cleaning and preprocessing.
• Conduct exploratory data analysis.
• Implement various machine learning algorithms.
• Visualize data using Python libraries.
• Analyse time-series data.

• Introduction
• The Must-Have Python Data Science Libraries
• NumPy Mastery: Everything you need to know about NumPy
• DataFrames and Series in Python's Pandas
• Data Cleaning Techniques for Better Data
• Exploratory Data Analysis in Python
• Python for Time-Series Analysis: A Primer
• Python for Data Visualisation: Library Resources, and Sample Graphs
• The Basics of Machine Learning
• Simple Linear Regression with Python
• Multiple Linear Regression with Python
• Classification Algorithms: K-Nearest Neighbors
• Classification Algorithms: Decision Tree
• Classification Algorithms: Logistic regression
• Clustering
• Recommender System
• Conclusion

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

• Beginners in programming with an interest in data science.
• Data analysts looking to enhance their Python skills.
• Statisticians wanting to apply their knowledge using Python.
• Students in computer science or related fields.
• Professionals transitioning to a data-focused career.
• Anyone curious about machine learning and data analysis.

Cost: 89 AED

Duration: Upto 6 Hours

• Master the setup and installation of data visualization tools.
• Create and customize line plots using matplotlib.
• Design and interpret histograms and bar charts.
• Develop complex visualizations with stack plots and stem plots.
• Visualize time series data effectively.
• Utilize seaborn and Plotly for advanced data visualization techniques.

• Setup & Installation
• Plotting Line Plots with matplotlib
• Plotting Histograms & Bar Charts with matplotlib
• Plotting Stack Plots & Stem Plots
• Plotting Scatter Plots with matplotlib
• Time Series Data Visualization with matplotlib
• Creating multiple subplots
• Plotting charts using seaborn
• Plotly and Cufflinks

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

• Data analysts looking to enhance their visualization skills.
• Python programmers wanting to specialize in data visualization.
• Students pursuing data science or related fields.
• Researchers needing to present data compellingly.
• Professionals aiming to improve their data presentation for reports.
• Enthusiasts eager to learn about data visualization tools and techniques.

Cost: 89 AED

Duration: Upto 4 Hours

• Grasp the core concepts of Machine Learning and Deep Learning.
• Understand the functionalities of Python and TensorFlow in building Machine Learning models.
• Explore the various algorithms used in supervised and unsupervised learning.
• Demystify Neural Networks and their role in Deep Learning.
• Learn the techniques for evaluating and optimizing Machine Learning models.
• Gain the theoretical knowledge to tackle your own Machine Learning projects.

• Introduction to Machine & Deep Learning
• Basics of TensorFlow & Installation
• Machine Learning Part 1: Supervised Learning
• Machine Learning Part 2: Unsupervised Learning
• Deep Learning Basics with Tensorflow: Neural Networks
• Model Evaluation & Optimization
• TensorFlow for Production
• Project: Image Classification
• Conclusion

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

• Aspiring Data Scientists eager to build a strong foundation in Machine Learning theory.
• Programmers with a basic understanding of Python who want to explore Machine Learning.
• Individuals seeking a theoretical grasp of Deep Learning concepts and how TensorFlow works.
• Students pursuing a career in Artificial Intelligence research.
• Anyone curious about the inner workings of Machine Learning and its potential applications.
• Professionals looking to expand their knowledge base in the field of AI.

Cost: 89 AED

Duration: Upto 3 Hours

• Grasp core concepts of choosing or capturing images within Flutter applications.
• Master theoretical techniques for face detection in Flutter using still images.
• Understand the fundamentals of face recognition with images in Flutter.
• Explore the power of TensorFlow Lite models for enhanced face recognition capabilities.
• Gain theoretical knowledge for storing registered faces securely within a Flutter application’s database.
• Delve into the theoretical underpinnings of displaying live camera footage and performing real-time face detection and recognition in Flutter apps.

• Introduction
• Choosing or Capturing Images in Flutter
• Face Detection With Images in Flutter
• Face Recognition With Images In Flutter
• Using Tensorflow Lite Models in Flutter for Face Recognition
• Storing Registered Faces In Database in Flutter
• Displaying Live Camera Footage In Flutter
• Realtime Face Detection In Flutter
• Realtime Face Recognition In Flutter

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

• Aspiring Flutter developers eager to elevate their skills with cutting-edge features.
• Flutter enthusiasts curious about implementing facial recognition and detection functionalities.
• Developers seeking to build innovative Flutter applications for security, attendance systems, and more.
• Individuals with a theoretical foundation in programming who want to explore the exciting world of facial analysis in Flutter.
• Creative minds looking to craft unique Flutter apps with real-world applications.
• Anyone fascinated by the potential of Flutter and facial recognition technology.

Cost: 89 AED

Duration: Upto 4 Hours

• Understand the fundamentals of machine learning.
• Set up Python environment for machine learning tasks.
• Implement simple and multiple linear regression models.
• Explore various classification algorithms.
• Learn about clustering techniques.
• Gain insights into building recommender systems.

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

• Beginners with no prior machine learning experience.
• Python programmers looking to expand their knowledge into machine learning.
• Data enthusiasts eager to understand theoretical aspects of machine learning.
• Students and professionals interested in the foundations of machine learning algorithms.
• Individuals aiming to enhance their analytical and technical skills.
• Lifelong learners passionate about entering the field of machine learning.

Cost: 89 AED

Duration: Upto 2 Hours

• Gain access to 20 comprehensive career path courses.
• Enjoy Lifetime access to all course materials, allowing you to learn and get certified at your own pace.
• We’ll prepare you for the Mock and Final interviews.
• You'll need to achieve a 95% score to successfully complete the program.
• Earn a globally recognised certificate from Janets.
• We’ll arrange interviews with reputable UK companies to help you land your dream job.
• If we fail to secure you a job interview after successful completion, we will refund 50% of your program fees.

• Comprehensive Course Curriculum
• Free PDF and Hard Copy Course Certificates
• Current Job Market Trend Analysis
• Personalized Career Path Counseling
• In-Depth Job Readiness Evaluation
• Professional CV and Portfolio Enhancement
• LinkedIn Profile Optimization
• Extensive Supplementary Resource Library
• Ongoing Expert Tutor Support
• 24/7 Post-Program Mentor Access upto 3 months
• One-on-One Industry Expert Mentorship
• Live Project and Internship Opportunities
• Access to Premium Industry Tools
• Mock Interviews with Personalized Feedback
• Interview Support: Get help with interview preparation

• Course 01: Data Science & Machine Learning with Python
• Course 02: Machine Learning in Flutter
• Course 03: Azure Machine Learning
• Course 04: Spatial Data Visualization and Machine Learning in Python
• Course 05: Advanced Cyber Security Course
• Course 06: Foundations of Artificial Intelligence
• Course 07: Artificial Intelligence In Digital Marketing
• Course 08: Machine Learning for Aspiring Data Scientists
• Course 09: Machine Learning Basics
• Course 10: Machine Learning Model Using AWS SageMaker Canvas
• Course 11: Python Data Science
• Course 12: R Programming for Data Science
• Course 13: Python & TensorFlow: Deep Dive into Machine Learning & AI
• Course 14: Data Analytics with Tableau
• Course 15: Python for Data Visualization: The Complete Masterclass
• Course 16: AWS Cloud Practitioner
• Course 17: Project on Deep Learning – Artificial Neural Network
• Course 18: Deep Learning & Neural Networks Python – Keras
• Course 19: Microsoft Power BI
• Course 20: Deep Learning Projects – Convolutional Neural Network

Cost: 999 GBP

Duration: Upto 1 Year

• Understand the fundamentals of Data Science & Machine Learning.
• Learn how to prepare, clean, and manipulate datasets.
• Master key Python libraries such as NumPy, Pandas, and Matplotlib.
• Develop skills in algorithm evaluation and selection.
• Gain expertise in feature selection and data preparation.
• Explore ensemble techniques for performance improvement.

• Module 01: Course Overview & Table of Contents
• Module 02: Introduction to Machine Learning - Part 1 - Concepts, Definitions, and Types
• Module 03: Introduction to Machine Learning - Part 2 - Classifications and Applications
• Module 04: System and Environment Preparation - Part 1
• Module 05: System and Environment Preparation - Part 2
• Module 06: Learn Basics of Python - Assignment
• Module 07: Learn Basics of Python - Assignment
• Module 08: Learn Basics of Python - Functions
• Module 09: Learn Basics of Python - Data Structures
• Module 10: Learn Basics of NumPy - NumPy Array
• Module 11: Learn Basics of NumPy - NumPy Data
• Module 12: Learn Basics of NumPy - NumPy Arithmetic
• Module 13: Learn Basics of Matplotlib
• Module 14: Learn Basics of Pandas - Part 1
• Module 15: Learn Basics of Pandas - Part 2
• Module 16: Understanding the CSV Data File
• Module 17: Load and Read CSV Data File Using Python Standard Library
• Module 18: Load and Read CSV Data File Using NumPy
• Module 19: Load and Read CSV Data File Using Pandas
• Module 20: Dataset Summary - Peek, Dimensions, and Data Types
• Module 21: Dataset Summary - Class Distribution and Data Summary
• Module 22: Dataset Summary - Explaining Correlation
• Module 23: Dataset Summary - Explaining Skewness - Gaussian and Normal Curve
• Module 24: Dataset Visualization - Using Histograms
• Module 25: Dataset Visualization - Using Density Plots
• Module 26: Dataset Visualization - Box and Whisker Plots
• Module 27: Multivariate Dataset Visualization - Correlation Plots
• Module 28: Multivariate Dataset Visualization - Scatter Plots
• Module 29: Data Preparation (Pre-Processing) - Introduction
• Module 30: Data Preparation - Re-scaling Data - Part 1
• Module 31: Data Preparation - Re-scaling Data - Part 2
• Module 32: Data Preparation - Standardizing Data - Part 1
• Module 33: Data Preparation - Standardizing Data - Part 2
• Module 34: Data Preparation - Normalizing Data
• Module 35: Data Preparation - Binarizing Data
• Module 36: Feature Selection - Introduction
• Module 37: Feature Selection - Uni-variate Part 1 - Chi-Squared Test
• Module 38: Feature Selection - Uni-variate Part 2 - Chi-Squared Test
• Module 39: Feature Selection - Recursive Feature Elimination

Cost: 9.99 GBP

Duration: Upto 10 Hours

• Understand fundamental concepts and features of Python.
• Master essential data types and operations for effective coding.
• Learn to control program flow with conditional statements and loops.
• Explore object-oriented programming principles and applications in Python.
• Gain proficiency in utilizing modules and packages to enhance functionality.
• Develop a solid foundation to solve programming challenges confidently.

• Module 1: Python Course Introduction
• Module 2: Python Course Curriculum Overview
• Module 3: Python Whats New
• Module 4: Command Line Basics in Python
• Module 5: Python Installation
• Module 6: Pycharm-CE IDE Installation
• Module 7: Setting up Environment
• Module 8: Running Python Code
• Module 9: Git and GitHub Overview
• Module 10: Python Data Types
• Module 11: Python Arithmetic Operators Numbers
• Module 12: Variable Assignments
• Module 13: Strings Introduction
• Module 14: Indexing and Slicing with Strings
• Module 15: String Properties and Methods
• Module 16: Formatting Strings in Python
• Module 17: Lists in Python
• Module 18: Dictionaries in Python
• Module 19: Tuples in Python
• Module 20: Comparison Operators in Python
• Module 21: Logical Operators in Python
• Module 22: If, Elif, and Else Statements in Python
• Module 23: For Loops in Python
• Module 24: While Loops in Python
• Module 25: Functions in Python
• Module 26: Methods in Python
• Module 27: List Methods in Python
• Module 28: Nested Loop in Python
• Module 29: 2D Lists using Nested Loop in Python
• Module 30: Introduction to Object Oriented Programming in Python
• Module 31: Attributes and Class Keyword
• Module 32: Class Object, Attributes, and Methods in Python
• Module 33: Inheritance
• Module 34: Encapsulation in Python
• Module 35: Polymorphism OOP in Python
• Module 36: Pypi and Pip
• Module 37: Modules in Python
• Module 38: Packages in Python

Cost: 9.99 GBP

Duration: Upto 9 Hours

• ⇒ Course 01: CNC Programming
• ⇒ Course 02: C# Programming – Beginner to Advanced
• ⇒ Course 03: Advanced Linear Programming
• ⇒ Course 04: Computer Science With Python
• ⇒ Course 05: AutoCAD VBA Programming – Beginner course
• ⇒ Course 06: JavaScript Functions
• ⇒ Course 07: Assembly Programming For All Platforms
• ⇒ Course 08: Kotlin Programming: Android Coding
• ⇒ Course 09: Complete AutoLISP Programming
• ⇒ Course 10: Python Programming for Everybody
• ⇒ Course 11: Secure Programming of Web Applications
• ⇒ Course 12: R Programming for Data Science
• ⇒ Course 13: SQL Programming Masterclass
• ⇒ Course 14: C++ Complete Coding Course
• ⇒ Course 15: Basic C# Coding
• ⇒ Course 16: JavaScript Foundations for Everyone
• ⇒ Course 17: Master JavaScript with Data Visualization
• ⇒ Course 18: Coding with HTML, CSS, & JavaScript
• ⇒ Course 19: Machine Learning with Python
• ⇒ Course 20: 3D Modeling for 3D Printing
• ⇒ Course 21: Digital Art – Sketching In Photoshop
• ⇒ Course 22: Solidworks Drawing Tools Training: Test Preparation
• ⇒ Course 23: Revit Architecture Advanced Exterior Design Course
• ⇒ Course 24: Level 5 CAD Designer Training
• ⇒ Course 25: AutoCAD VBA Programming – Beginner course
• ⇒ Course 26: Programming AutoCAD to Excel using
• ⇒ Course 27: Cyber Security Awareness Training
• ⇒ Course 28: Modern Web Designing – Level 2
• ⇒ Course 29: Cloud Computing / CompTIA Cloud+ (CV0-002)
• ⇒ Course 30: Automation

• Standout by earning a CPD Accredited Certificate upon completion.
• Gain lifetime access to the course materials and keep your skills on-check anytime.
• Our tutors are available 24/7 to answer your questions throughout the program.
• The program has been designed to be clear and easy to understand Receive a free Student ID Card as part of the program (£10 applicable for international delivery).

Cost: 799 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 156 Hours

• ⇒ Course 01: IT Support Technician Training
• ⇒ Course 02: Data Analytics with Tableau
• ⇒ Course 03: Data Science with Python
• ⇒ Course 04: Computer Science With Python
• ⇒ Course 05: Python Programming for Everybody
• ⇒ Course 06: Data Analysis in Excel Level 3 Course
• ⇒ Course 07: Learn AutoCAD Programming using - Hands On!
• ⇒ Course 08: CyberSecurity Law Online Course
• ⇒ Course 09: Compliance Training Level 2
• ⇒ Course 10: Network Security Level 2
• ⇒ Course 11: Cyber Security Advanced Training
• ⇒ Course 12: Cloud Computing / CompTIA Cloud+ (CV0-002)
• ⇒ Course 13: SQL Database Administrator
• ⇒ Course 14: SQL NoSQL Big Data and Hadoop
• ⇒ Course 15: Learn Ethical Hacking From A-Z: Beginner To Expert
• ⇒ Course 16: Bash Scripting, Linux and Shell Programming
• ⇒ Course 17: Microsoft Azure Cloud Concepts
• ⇒ Course 18: VMware vSphere Course
• ⇒ Course 19: Certified Information Systems Security Professional (CISSP)
• ⇒ Course 20: CompTIA Security+ (SY0-601)
• ⇒ Course 21: CompTIA Networking - Level 4
• ⇒ Course 22: Kotlin Programming : Android Coding
• ⇒ Course 23: JavaScript for Everyone
• ⇒ Course 24: Master JavaScript with Data Visualization
• ⇒ Course 25: Basic C# Coding
• ⇒ Course 26: C++ Complete Coding Course
• ⇒ Course 27: Encryption
• ⇒ Course 28: Modern Web Designing - Level 2
• ⇒ Course 29: ChatGPT Complete Guide with Expertise
• ⇒ Course 30: Windows 10 Pro Complete Training

• Standout by earning a CPD Accredited Certificate upon completion.
• Gain lifetime access to the course materials and keep your skills on-check anytime.
• Our tutors are available 24/7 to answer your questions throughout the program.
• The program has been designed to be clear and easy to understand Receive a free Student ID Card as part of the program (£10 applicable for international delivery).
• Enrol now in IT for IT technician - CPD Accredited to advance your career, and use the premium study materials from HF Online.

Cost: 799 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 150 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Master the core and advanced skills required in  Statistics & Probability for Data Science.
• Gain the ability to apply your knowledge in situations.
• Stay ahead with insights on the latest industry trends.
• Build essential soft skills to thrive in the competitive landscape of  Statistics & Probability for Data Science.
• Learn how to create a standout professional profile and grow your network.

• Comprehensive Learning: We cover every crucial aspect of  Statistics & Probability for Data Science to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 15 USD

Discount: 90% off through Laimoon!

Duration: Upto 11 Hours

• Python Basics: Learn about variables, data types, and basic operations.
• Control Structures: Master if-else statements, loops, and function definitions.
• Data Structures: Explore lists, dictionaries, and sets in Python.
• File Handling: Learn to read from and write to files using Python.
• Object-Oriented Programming: Introduction to classes and objects.
• Basic GUI Programming: Create simple graphical interfaces using Tkinter.

• No Prior Experience Needed: Start your programming journey from the very beginning.
• Practical Skills: Learn through hands-on coding exercises and small projects.
• Solid Foundation: Build a strong base for advancing to more complex programming concepts.

• Online Access: Learn at your own pace from any internet-enabled device.
• Interactive Lessons: Engage with video tutorials, quizzes, and coding challenges.
• Gradual Progression: Course structure ensures steady skill development from basic to intermediate concepts.

• Age: Must be at least 14 years old.
• Language: Basic understanding of English.
• Technical: No prior programming experience required.
• Education: No formal requirements.
• Equipment: Computer with internet connection.

Cost: 6 GBP

Duration: Upto 9 Hours

• Spatial Data Handling: Learn to work with various types of spatial data using Python libraries like GeoPandas and Shapely.
• Data Visualization: Master the creation of stunning maps and spatial visualizations using libraries such as Matplotlib and Folium.
• Machine Learning for Spatial Data: Apply machine learning techniques to spatial problems using scikit-learn and other relevant libraries.
• Geospatial Analysis: Conduct advanced geospatial analysis, including spatial joins, buffers, and interpolation.
• Real-world Applications: Explore case studies in urban planning, environmental science, and business location analysis.

• Interdisciplinary Skills: Combine expertise in programming, data science, and geography.
• Project-Based Learning: Work on real-world spatial problems and build a portfolio of geospatial projects.
• Cutting-Edge Techniques: Learn the latest methods in spatial data science and machine learning.
• Course Design:
• Online Access: Study from any internet-enabled device.
• Interactive Jupyter Notebooks: Engage with code and explanations in an interactive environment.
• Datasets Provided: Work with curated spatial datasets to practice your skills.

• Age: Must be at least 18 years old.
• Language: Proficient understanding of English.
• Technical: Intermediate Python programming skills required.
• Education: Basic understanding of data science concepts beneficial.
• Equipment: Access to a computer with internet connection.

Cost: 6 GBP

Duration: Upto 4 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Master the core and advanced skills required in Foundations of Artificial Intelligence.
• Gain the ability to apply your knowledge in situations.
• Stay ahead with insights on the latest industry trends.
• Build essential soft skills to thrive in the competitive landscape of Foundations of Artificial Intelligence.
• Learn how to create a standout professional profile and grow your network.

• Comprehensive Learning: We cover every crucial aspect of Foundations of Artificial Intelligence to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 15 USD

Discount: 90% off through Laimoon!

Duration: Upto 3 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Master the core and advanced skills required in Exploring Immersive Technologies (ARVR).
• Gain the ability to apply your knowledge in situations.
• Stay ahead with insights on the latest industry trends.
• Build essential soft skills to thrive in the competitive landscape of Exploring Immersive Technologies (ARVR).
• Learn how to create a standout professional profile and grow your network.

• Comprehensive Learning: We cover every crucial aspect of Exploring Immersive Technologies (ARVR) to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 15 USD

Discount: 90% off through Laimoon!

Duration: Upto 2 Hours

• Expert Guidance: Learn directly from industry leaders who bring expertise.
• Experience: Engage in exercises and live case studies to cement your learning.
• Accredited Certification: Earn a CPD QS Accredited certificate to boost your career prospects (certificate fees apply).
• Expand Your Network: Connect with professionals in your field to build valuable career relationships.
• Learn on Your Terms: Study at your own pace, from anywhere, on any device.
• Enhance Your CV: This course will add significant value to your CV, making you stand out to potential employers.

• Master the core and advanced skills required in 23 Ways to Profit with ChatGPT.
• Gain the ability to apply your knowledge in situations.
• Stay ahead with insights on the latest industry trends.
• Build essential soft skills to thrive in the competitive landscape of 23 Ways to Profit with ChatGPT.
• Learn how to create a standout professional profile and grow your network.

• Comprehensive Learning: We cover every crucial aspect of 23 Ways to Profit with ChatGPT to give you a complete skill set.
• Career Boosting Results: Graduates have seen significant career progress and job opportunities.
• Affordable and Accessible: Get the best value with flexible learning that fits your schedule and budget.
• Excellent Customer Support: Our dedicated support team is always ready to assist you with any questions or concerns.
• Up-to-Date Content: We regularly update our course materials to ensure you learn the latest skills and techniques in the field.

Cost: 15 USD

Discount: 90% off through Laimoon!

Duration: Upto 6 Hours

• Understand the architecture and principles of deep neural networks.
• Implement deep learning models using libraries such as TensorFlow and PyTorch.
• Apply deep learning techniques to solve business challenges in areas such as image classification and sentiment analysis.
• Fine-tune pre-trained models for specific business domains and use cases.
• Explore advanced topics in deep learning, including generative adversarial networks (GANs) and reinforcement learning.
• Develop strategies for deploying and scaling deep learning solutions in production environments.

• Fundamentals of Neural Networks
• Introduction to TensorFlow and Keras
• Hands-on: Building Your First Neural Network

• Understanding CNN Architecture
• Image Classification with CNNs
• Case Studies: CNN Applications in Business

• Introduction to RNNs and LSTM Networks
• Natural Language Processing (NLP) with RNNs
• Hands-on: Sentiment Analysis with RNNs

• Introduction to GANs and Reinforcement Learning
• Case Studies: Advanced Deep Learning Applications
• Deploying Deep Learning Models in Production Environments.

Cost: 5995 USD

Duration: 4 Days

• Understand the strategic importance of AI for business competitiveness and growth.
• Develop an AI strategy aligned with organisational goals, priorities, and capabilities.
• Assess organisational readiness for AI adoption, including data infrastructure, talent, and culture.
• Plan and execute AI projects using best practices and methodologies, managing risks and uncertainties effectively.
• Monitor and measure the impact of AI initiatives on business performance, iterating and refining strategies as needed.
• Foster a culture of innovation and continuous learning, driving organisational transformation and agility.

• AI Landscape: Trends and Opportunities
• Developing an AI Strategy Aligned with Business Goals
• Case Studies: Successful AI Transformation Stories

• Evaluating Data Infrastructure and Talent
• Identifying AI Use Cases and Priorities
• Overcoming Barriers to AI Adoption

• Developing AI Roadmaps and Implementation Plans
• Project Management Best Practices for AI Initiatives
• Building Cross-functional Teams for AI Projects

• Measuring AI Impact: KPIs and Metrics
• Continuous Improvement and Iteration
• Closing Remarks: Building a Culture of AI Innovation.

Cost: 5995 USD

Duration: 4 Days

• Identify key AI applications in various industries.
• Understand the core principles and limitations of machine learning.
• Define rational agents and their decision-making processes.
• Grasp the basics and applications of fuzzy logic.
• Gain an Overview of robotics and AI integration.
• Comprehend key concepts and challenges in NLP.
• Understand the fundamentals and applications of neural networks.

• AI in healthcare, finance, transportation, entertainment
• Real-world use cases and societal impact
• Strengths and Limitations of Machine Learning
• Core principles of machine learning
• Limitations: data dependency, interpretability

• Rational agents in AI
• Defining rationality in AI
• Implications for decision-making
• Fuzzy Logic
• Approximate reasoning with fuzzy logic
• Applications in uncertainty handling

• Introduction to robotics
• AI integration in robots
• Robot perception, motion planning, navigation

• Enabling machines to understand human language
• Key concepts: text analysis, language generation
• Challenges in conversational agents

• Neural networks as AIs backbone
• Brain-inspired models
• Uses: image recognition, speech processing, gaming.

Cost: 5995 USD

Duration: 5 Days

• Understand AI's capabilities and limitations within a business context.
• Develop strategies to leverage AI for competitive advantage.
• Identify the necessary skills and capabilities needed to support AI initiatives.
• Foster an AI-ready culture within organisations to facilitate seamless adoption.
• Measure and optimise the impact of AI through appropriate metrics and KPIs.
• Navigate ethical considerations and sustain responsible AI practices in business.

• Introduction to AI: Overview of AI technologies and their fundamental concepts
• AI in Operations: How AI can optimise operational efficiency, from manufacturing to services
• Interactive Session: Identifying AI opportunities in participants operations

• AI and Business Strategy: Integrating AI into business strategy for competitive advantage
• Case Studies: Real-world examples of strategic AI integration
• Workshop: Developing AI-aligned strategies for hypothetical businesses

• Skills Assessment: Identifying required AI skills and capabilities within a business
• Training Programs: Designing and implementing training for AI proficiency across roles
• Group Activity: Mapping out a skills development plan for an AI-driven business

• Cultural Change: Strategies for fostering an AI-ready culture in the workplace
• Leadership in AI: Role of top management in driving AI initiatives
• Discussion: Barriers to AI adoption and how to overcome them

• AI and ROI: Metrics and KPIs to measure AI impact
• Sustainability and Ethics: Ensuring responsible AI use in business practices
• Panel Discussion: Future of AI in business with industry experts

Cost: 5995 USD

Duration: 5 Days

• Understanding AI Technologies and Frameworks: Gain a comprehensive understanding of AI, Machine Learning (ML), and Deep Learning (DL) concepts, along with proficiency in using popular AI frameworks like TensorFlow, PyTorch, and Scikit-Learn.
• Application of Advanced AI Techniques: Acquire practical knowledge of advanced ML algorithms such as Neural Networks, Transfer Learning, and Natural Language Processing (NLP) to solve real-world problems across various industries.
• Deployment and Optimization Strategies: Learn techniques for deploying AI models in production environments and optimizing these models through strategies like hyperparameter tuning and model pruning for enhanced performance.
• Utilization of AI Services from Vendors: Explore and apply pre-built AI services from leading vendors (AWS, Azure, GCP) for practical implementations in domains like Computer Vision, Speech Recognition, and Recommendation Systems.
• Ethical Considerations in AI: Understand the ethical considerations associated with AI development and deployment, including addressing bias in algorithms, ensuring fairness, and leveraging open-source AI tools/platforms.
• Application of AI in Industry Contexts: Apply AI technologies specifically within industrial contexts, identifying challenges and opportunities across sectors like manufacturing, supply chain, logistics, and predictive maintenance.
• Future Trends and Continuous Learning: Explore emerging trends in AI, such as Explainable AI, AutoML, and AI in Edge Computing, while fostering an understanding of the impact of AI on industries and society. Additionally, access resources for continuous learning and staying updated in the evolving field of AI.

• Overview of AI, Machine Learning (ML), and Deep Learning (DL)
• Types of AI: Narrow vs. General AI
• Practical applications and industries benefiting from AI
• Overview of popular AI frameworks: TensorFlow, PyTorch, Scikit-Learn
• Hands-on: Setting up the environment and running basic ML/DL models using TensorFlow or PyTorch
• Case Study: Image Classification using TensorFlow or PyTorch

• Deep Dive into Neural Networks: CNNs, RNNs, and their applications
• Transfer Learning and its significance in various industries
• AI vendors and their specialised offerings (, IBM Watson, Google Cloud AI)
• Fundamentals of NLP and its applications (Sentiment Analysis, Named Entity Recognition)
• Hands-on: Text Generation or Sentiment Analysis using NLP tools (NLTK, spaCy)
• Case Study: Implementing NLP for Customer Sentiment Analysis using AWS Comprehend or Google Cloud Natural Language

• Techniques for deploying models in production environments
• Model optimisation approaches (Hyperparameter tuning, Model pruning)
• AI service providers and their deployment platforms (AWS, Azure, GCP)
• Hands-on: Utilizing pre-built AI services from vendors like AWS Rekognition, Azure Cognitive Services, or Google Cloud Vision API
• Case Study: Implementing a Recommendation System using AI services from AWS or Azure

• Ethical considerations in AI development and deployment
• Addressing bias in AI algorithms and ensuring fairness
• Open-source AI tools and platforms (TensorFlow Extended, Hugging Face Transformers)
• Emerging trends in AI (Explainable AI, AutoML, AI in Edge Computing)Emerging trends in AI (Explainable AI, AutoML, AI in Edge Computing)
• Discussion on the impact of AI on various industries and society
• Course Conclusion, Q&A, and Resources for Continuous Learning.

Cost: 6400 USD

Duration: 4 Days

Overview

Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.

Objective

• Solve business problems with AI and ML
• Prepare and process data for ML
• Train, evaluate, and tune ML models
• Build and deploy various ML models (regression, classification, clustering, neural networks)
• Operate and maintain ML models in production

Who Should Attend

This course is suitable for anyone looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decision-making products that bring value to the business

Outlines

Day 1: Solving Business Problems Using AI and ML including Preparing Data, Training, Evaluating, and Tuning a Machine Learning Model

• Identify AI and ML Solutions for Business Problems
• Formulate a Machine Learning Problem
• Select Approaches to Machine Learning
• Collect DataTransform DataEngineer Features
• Work with Unstructured Data
• Train a Machine Learning Model
• Evaluate and Tune a Machine Learning Model

Day 2: Building Linear Regression Models including, Building Forecasting Models

• Build Regression Models Using Linear Algebra
• Build Regularized Linear Regression Models
• Build Iterative Linear Regression Models
• Build Univariate Time Series Models
• Build Multivariate Time Series Models

Day 3: Building Classification Models Using Logistic Regression and k-Nearest Neighbor, including Building Clustering Models

• Train Binary Classification Models Using Logistic Regression
• Train Binary Classification Models Using k-Nearest Neighbor
• Train Multi-Class Classification Models
• Evaluate Classification ModelsTune Classification Models
• Build k-Means Clustering Models
• Build Hierarchical Clustering Models

Day 4: Building Decision Trees and Random Forests including Building Support-Vector Machines

• Build Decision Tree ModelsBuild Random Forest Models
• Build SVM Models for ClassificationBuild SVM Models for Regression

Day 5: Building Artificial Neural Networks including Operationalizing Machine Learning Models, Maintaining Machine Learning Operations

• Build Multi-Layer Perceptrons (MLP)
• Build Convolutional Neural Networks (CNN)
• Build Recurrent Neural Networks (RNN)
• Deploy Machine Learning Models
• Automate the Machine Learning Process with MLOps
• Integrate Models into Machine Learning Systems
• Secure Machine Learning Pipelines
• Maintain Models in Production

Cost: 5995 USD

Duration: 5 Days

Cost: 4900 USD

Duration: 5 Days

Cost: 4900 USD

Duration: 5 Days

Cost: 4900 USD

Duration: 5 Days

Cost: 4900 USD

Duration: 5 Days

Cost: 4900 USD

Duration: 5 Days

Cost: 4900 USD

Duration: 5 Days

• This Data Science, Data Analysis and Machine Learning Accredited Bundle is CPDQS and CIQ Accredited
• After successfully completing the course, you will receive 18 PDF certificates as evidence of your newly acquired abilities.
• Lifetime access to the whole collection of learning materials

• Master R for Data Science: Analyse data comprehensively using R, from basics to advanced techniques.
• Python Machine Learning Proficiency: Develop expertise in Python for machine learning applications.
• Python Data Science Mastery: Utilise Numpy, Pandas, and Matplotlib for effective Python data analysis.
• Comprehensive Python Programming: Progress from beginner to expert in Python programming skills.
• Statistical Proficiency for ML: Gain a solid foundation in statistics and probability for machine learning.

1. Data Science & Machine Learning with R Complete Training
2. Machine Learning Course Using Python
3. Python Data Science with Numpy, Pandas and Matplotlib
4. Python Programming From A-Z: Beginner To Expert
5. Statistics & Probability for Data Science & Machine Learning
6. Quick Data Science Approach from Scratch
7. R Programming for Data Science
8. Learn Python, JavaScript, and Microsoft SQL for Data science
9. Google Data Studio: Data Analytics
10. Quick Data Science Approach from Scratch
11. Web Scraping and Mapping Dam Levels in Python and Leaflet
12. Deep Learning & Neural Networks Python - Keras
13. Project on Deep Learning - Artificial Neural Network
14. Cybersecurity: Data Protection and Privacy
15. Data Analytics
16. Business Intelligence and Data Mining
17. Basic Data Analysis Training
18. Data Analysis: PowerBI Formulas

• CPD Accredited e-Certificate - Free
• Enrolment Letter - Free
• Student ID Card - Free

• CPD Accredited e-Certificate - 25 AED (Per Course)

Cost: 189 GBP

Discount: 90% off through Laimoon!

Duration: Upto 120 Hours

• Course 01: Data Science & Machine Learning with Python
• Course 02: Machine Learning Basics
• Course 03: Data Science & Machine Learning with R Complete Training
• Course 04: Python Data Science Complete Guide
• Course 05: Python Programming Complete Training
• Course 06: Mastering SQL Programming
• Course 07: Python Data Science - For Beginners
• Course 08: Data Science: R Programming Online Course
• Course 09: Learn Python, JavaScript, and Microsoft SQL for Data science
• Course 10: Google Data Studio Training Course
• Course 11: Basic Data Analysis Training
• Course 12: Data Center Essentials: Introduction
• Course 13: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4
• Course 14: Learn Microsoft Word, PowerPoint & Outlook In 90 Minutes!
• Course 15: Data Analysis: PowerBI Formulas
• Course 16: Data Analysis: Getting Results with PowerBI
• Course 17: Business Intelligence | Basics of Data & Data Mining
• Course 18: Financial Controller
• Course 19: Business Process Analyst 
• Course 20: Cyber Security Training: Incident Handling & Response
• Course 21: Microsoft Azure Masterclass
• Course 22: Microsoft Azure - Az 304
• Course 23: Microsoft Azure - Az 900
• Course 24: Data Analytics
• Course 25: Microsoft SQL Server Development Training
• Course 26: Microsoft Access
• Course 27: Data Analytics with Tableau
• Course 28: Microsoft Excel Complete Training
• Course 29: Online Microsoft Excel Master Certification Bundle
• Course 30: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!

• Course 01: Career Development Training
• Course 02: Basics of Process Planning
• Course 03: Strategic Planning and Analysis for Marketing
• Course 04: Job Search Skills
• Course 05: Interview Skills Training
• Course 06: Ultimate Video Job Interview Training
• Course 07: Successful Business Networking Skills Course
• Course 08: Boost Your Confidence, Assertiveness & Communication Skills
• Course 09: Public Speaking Course
• Course 10: Perfect LinkedIn Profile Creation Training

• Utilise Microsoft Azure for cloud-based data science and machine learning solutions.
• Gain expertise in Python for data manipulation, visualisation, and machine learning.
• Develop proficiency in using R for data analysis and statistical modelling.
• Master SQL for efficient database management and querying.
• Understand the principles and applications of machine learning algorithms.
• Implement machine learning models using R and Python.
• Apply best practices in data handling, model building, and deployment.
• Conduct comprehensive data visualisation to communicate insights effectively.

Cost: 200 USD

Duration: Upto 200 Hours

• Course 01: Data Science & Machine Learning with Python
• Course 02: Machine Learning Basics
• Course 03: Data Science & Machine Learning with R Complete Training
• Course 04: Python Data Science Complete Guide
• Course 05: Python Programming Complete Training
• Course 06: Mastering SQL Programming
• Course 07: Python Data Science - For Beginners
• Course 08: Data Science: R Programming Online Course
• Course 09: Learn Python, JavaScript, and Microsoft SQL for Data science
• Course 10: Google Data Studio Training Course
• Course 11: Basic Data Analysis Training
• Course 12: Data Center Essentials: Introduction
• Course 13: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4
• Course 14: Learn Microsoft Word, PowerPoint & Outlook In 90 Minutes!
• Course 15: Data Analysis: PowerBI Formulas
• Course 16: Data Analysis: Getting Results with PowerBI
• Course 17: Business Intelligence | Basics of Data & Data Mining
• Course 18: Financial Controller
• Course 19: Business Process Analyst
• Course 20: Cyber Security Training: Incident Handling & Response
• Course 21: Microsoft Azure Masterclass
• Course 22: Microsoft Azure - Az 304
• Course 23: Microsoft Azure - Az 900
• Course 24: Data Analytics
• Course 25: Microsoft SQL Server Development Training
• Course 26: Microsoft Access
• Course 27: Data Analytics with Tableau
• Course 28: Microsoft Excel Complete Training
• Course 29: Online Microsoft Excel Master Certification Bundle
• Course 30: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!
•  

• Course 01: Career Development Training
• Course 02: Basics of Process Planning
• Course 03: Strategic Planning and Analysis for Marketing
• Course 04: Job Search Skills
• Course 05: Interview Skills Training
• Course 06: Ultimate Video Job Interview Training
• Course 07: Successful Business Networking Skills Course
• Course 08: Boost Your Confidence, Assertiveness & Communication Skills
• Course 09: Public Speaking Course
• Course 10: Perfect LinkedIn Profile Creation Training

Cost: 599 AED

Duration: Upto 200 Hours

Cost: 12 GBP

Discount: 95% Off for Laimoon Users!

Duration: 4 To 5 Hours

• Instant access to current information on Deep Learning & Neural-Networks Python- Keras Practice licences and business startups
• Participation in online maintenance exercises and troubleshooting
• Quick assessment and guidance for all theoretical repair assignments
• CPD accreditation for proof of acquired skills and knowledge
• Freedom to study in any location and at a pace that suits you
• Expert support from dedicated tutors committed to online learning

• Chance to earn a Prestigious CPD Accredited Certificate upon  completion of Deep Learning & Neural-Networks Python- Keras Practice
• Get a free student ID card with Deep Learning & Neural-Networks Python- Keras Practice
• Lifetime access to the Deep Learning & Neural-Networks Python- Keras Practice course materials
• Get instant access to this Deep Learning & Neural-Networks Python- Keras Practice course 
• Learn Deep Learning & Neural-Networks Python- Keras Practice from anywhere in the world
• 24/7 tutor support with the Deep Learning & Neural-Networks Python- Keras Practice course.
• Deep Learning & Neural-Networks Python- Keras Practice is an entirely online, interactive lesson with voiceover audio

• Course Introduction And Table Of Contents
• Deep Learning Overview
• Choosing Between ML Or DL For The Next AI Project - Quick Theory Session
• Preparing Your Computer
• Python Basics
• Theano Library Installation And Sample Program To Test
• TensorFlow Library Installation And Sample Program To Test
• Keras Installation And Switching Theano And TensorFlow Backends
• Explaining Multi-Layer Perceptron Concepts
• Explaining Neural Networks Steps And Terminology
• First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset
• Explaining Training And Evaluation Concepts
• Pima Indian Model - Steps Explained
• Coding The Pima Indian Model
• Pima Indian Model - Performance Evaluation
• Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras
• Pima Indian Model - Performance Evaluation - Hyper Parameters
• Understanding Iris Flower Multi-Class Dataset
• Developing The Iris Flower Multi-Class Model
• Understanding The Sonar Returns Dataset

• Deep Learning Engineer
• AI Research Scientist
• Computer Vision Engineer
• Natural Language Processing (NLP) Specialist
• Robotics Engineer

• Professionals seeking to enhance their Deep Learning & Neural-Networks Python- Keras Practice skills and knowledge.
• Individuals looking to transition into a Deep Learning & Neural-Networks Python- Keras Practice-related career.
• Anyone passionate about Deep Learning & Neural-Networks Python- Keras Practice and eager to gain practical expertise.

Cost: 46 AED

Duration: Upto 5 Hours

• Instant access to current information on Machine Learning Basics Practice licences and business startups
• Participation in online maintenance exercises and troubleshooting
• Quick assessment and guidance for all theoretical repair assignments
• CPD accreditation for proof of acquired skills and knowledge
• Freedom to study in any location and at a pace that suits you
• Expert support from dedicated tutors committed to online learning

• Chance to earn a Prestigious CPD Accredited Certificate upon  completion of Machine Learning Basics Practice
• Get a free student ID card with Machine Learning Basics Practice
• Lifetime access to the Machine Learning Basics Practice course materials
• Get instant access to this Machine Learning Basics Practice course 
• Learn Machine Learning Basics Practice from anywhere in the world
• 24/7 tutor support with the Machine Learning Basics Practice course.
• Machine Learning Basics Practice is an entirely online, interactive lesson with voiceover audio

• Section 01: Introduction
• Section 02: Regression
• Section 03: Predictors
• Section 04: Minitab
• Section 05: Regression Trees
• Section 06: Binary Logistics Regression
• Section 07: Classification Trees
• Section 08: Data Cleaning
• Section 09: Data Models
• Section 10: Learning Success

• Machine Learning Engineer
• Data Scientist
• Artificial Intelligence (AI) Specialist
• Research Scientist
• Natural Language Processing (NLP) Engineer

• Professionals seeking to enhance their Machine Learning Basics Practice skills and knowledge.
• Individuals looking to transition into a Machine Learning Basics Practice-related career.
• Anyone passionate about Machine Learning Basics Practice and eager to gain practical expertise.

Cost: 46 AED

Duration: Upto 4 Hours

• Instant access to current information on Azure Machine Learning Practice licences and business startups
• Participation in online maintenance exercises and troubleshooting
• Quick assessment and guidance for all theoretical repair assignments
• CPD accreditation for proof of acquired skills and knowledge
• Freedom to study in any location and at a pace that suits you
• Expert support from dedicated tutors committed to online learning

• Chance to earn a Prestigious CPD Accredited Certificate upon  completion of Azure Machine Learning Practice
• Get a free student ID card with Azure Machine Learning Practice
• Lifetime access to the Azure Machine Learning Practice course materials
• Get instant access to this Azure Machine Learning Practice course 
• Learn Azure Machine Learning Practice from anywhere in the world
• 24/7 tutor support with the Azure Machine Learning Practice course.
• Azure Machine Learning Practice is an entirely online, interactive lesson with voiceover audio

• Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration        
• Module 02: Various Modules in Machine Learning        
• Module 03: Prediction of Income (Automated Tutorial)        
• Module 04: Prediction of Automobile Price using Linear Regression Algorithm        
• Module 05: Dataset Processing and Analysis (Sample-1)     
• Module 06: Cross Validation for Regression (Sample-2)       
• Protected: Module 07: Clustering Group Iris data (Sample-3)        
• Module 08: Introduction on Notebook in Microsoft Azure Machine Learning Studio

• Machine Learning Engineer
• Data Scientist
• Cloud Solutions Architect
• AI Developer
• Business Intelligence Analyst

• Professionals seeking to enhance their Azure Machine Learning Practice skills and knowledge.
• Individuals looking to transition into a Azure Machine Learning Practice-related career.
• Anyone passionate about Azure Machine Learning Practice and eager to gain practical expertise.

Cost: 46 AED

Duration: Upto 5 Hours

• Instant access to current information on ChatGPT Beginners Guide Practice licences and business startups
• Participation in online maintenance exercises and troubleshooting
• Quick assessment and guidance for all theoretical repair assignments
• CPD accreditation for proof of acquired skills and knowledge
• Freedom to study in any location and at a pace that suits you
• Expert support from dedicated tutors committed to online learning

• Chance to earn a Prestigious CPD Accredited Certificate upon  completion of ChatGPT Beginners Guide Practice
• Get a free student ID card with ChatGPT Beginners Guide Practice
• Lifetime access to the ChatGPT Beginners Guide Practice course materials
• Get instant access to this ChatGPT Beginners Guide Practice course 
• Learn ChatGPT Beginners Guide Practice from anywhere in the world
• 24/7 tutor support with the ChatGPT Beginners Guide Practice course.
• ChatGPT Beginners Guide Practice is an entirely online, interactive lesson with voiceover audio

• Sign Up For An OpenAI Account
• What Can ChatGPT Do For You?
• ChatGPT For Business
• ChatGPT For Teaching
• ChatGPT For Research
• Limitations Of ChatGPT
• Additional Videos

• AI Support Specialist
• Conversational Designer
• Content Strategist
• AI Trainer
• Chatbot Developer

• Professionals seeking to enhance their ChatGPT Beginners Guide Practice skills and knowledge.
• Individuals looking to transition into a ChatGPT Beginners Guide Practice-related career.
• Anyone passionate about ChatGPT Beginners Guide Practice and eager to gain practical expertise.

Cost: 46 AED

Duration: Upto 5 Hours

• Instant access to current information on Data Science & Machine Learning with Python Practice licences and business startups
• Participation in online maintenance exercises and troubleshooting
• Quick assessment and guidance for all theoretical repair assignments
• CPD accreditation for proof of acquired skills and knowledge
• Freedom to study in any location and at a pace that suits you
• Expert support from dedicated tutors committed to online learning

• Chance to earn a Prestigious CPD Accredited Certificate upon  completion of Data Science & Machine Learning with Python Practice
• Get a free student ID card with Data Science & Machine Learning with Python Practice
• Lifetime access to the Data Science & Machine Learning with Python Practice course materials
• Get instant access to this Data Science & Machine Learning with Python Practice course 
• Learn Data Science & Machine Learning with Python Practice from anywhere in the world
• 24/7 tutor support with the Data Science & Machine Learning with Python Practice course.
• Data Science & Machine Learning with Python Practice is an entirely online, interactive lesson with voiceover audio

• Course Overview & Table Of Contents
• Introduction To Machine Learning - Part 1 - Concepts , Definitions And Types
• Introduction To Machine Learning - Part 2 - Classifications And Applications
• System And Environment Preparation - Part 1
• System And Environment Preparation - Part 2
• Learn Basics Of Python - Assignment
• Learn Basics Of Python - Assignment
• Learn Basics Of Python - Functions
• Learn Basics Of Python - Data Structures
• Learn Basics Of NumPy - NumPy Array
• Learn Basics Of NumPy - NumPy Data
• Learn Basics Of NumPy - NumPy Arithmetic
• Learn Basics Of Matplotlib
• Learn Basics Of Pandas - Part 1
• Learn Basics Of Pandas - Part 2
• Understanding The CSV Data File
• Load And Read CSV Data File Using Python Standard Library
• Load And Read CSV Data File Using NumPy
• Load And Read CSV Data File Using Pandas
• Dataset Summary - Peek, Dimensions And Data Types
• Dataset Summary – Class Distribution And Data Summary
• Dataset Summary - Explaining Correlation
• Dataset Summary - Explaining Skewness - Gaussian And Normal Curve
• Dataset Visualization - Using Histograms
• Dataset Visualization - Using Density Plots
• Dataset Visualization - Box And Whisker Plots
• Multivariate Dataset Visualization - Correlation Plots
• Multivariate Dataset Visualization - Scatter Plots
• Data Preparation (Pre-Processing) - Introduction
• Data Preparation - Re-Scaling Data - Part 1
• Data Preparation - Re-Scaling Data - Part 2
• Data Preparation - Standardizing Data - Part 1
  
  And much

• Machine Learning Engineer
• Data Scientist
• Data Analyst
• AI Research Scientist
• Big Data Engineer

• Professionals seeking to enhance their Data Science & Machine Learning with Python Practice skills and knowledge.
• Individuals looking to transition into a Data Science & Machine Learning with Python Practice-related career.
• Anyone passionate about Data Science & Machine Learning with Python Practice and eager to gain practical expertise.

Cost: 46 AED

Duration: Upto 4 Hours

• Understand the fundamental concepts and types of machine learning, data science, and Python programming.
• Learn to prepare the system and environment for data analysis and machine learning tasks.
• Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization.
• Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing.
• Explore feature selection methods and evaluation metrics for classification and regression algorithms.
• Compare and select the best machine learning model using pipelines and ensembles.
• Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions.

• Course Overview & Table of Contents
• Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types
• Introduction to Machine Learning - Part 2 - Classifications and Applications
• System and Environment preparation - Part 1
• System and Environment preparation - Part 2
• Learn Basics of python - Assignment
• Learn Basics of python - Assignment
• Learn Basics of python - Functions
• Learn Basics of python - Data Structures
• Learn Basics of NumPy - NumPy Array
• Learn Basics of NumPy - NumPy Data
• Learn Basics of NumPy - NumPy Arithmetic
• Learn Basics of Matplotlib
• Learn Basics of Pandas - Part 1
• Learn Basics of Pandas - Part 2
• Understanding the CSV data file
• Load and Read CSV data file using Python Standard Library
• Load and Read CSV data file using NumPy
• Load and Read CSV data file using Pandas
• Dataset Summary - Peek, Dimensions and Data Types
• Dataset Summary - Class Distribution and Data Summary
• Dataset Summary - Explaining Correlation
• Dataset Summary - Explaining Skewness - Gaussian and Normal Curve
• Dataset Visualization - Using Histograms
• Dataset Visualization - Using Density Plots
• Dataset Visualization - Box and Whisker Plots
• Multivariate Dataset Visualization - Correlation Plots
• Multivariate Dataset Visualization - Scatter Plots
• Data Preparation (Pre-Processing) - Introduction
• Data Preparation - Re-scaling Data - Part 1
• Data Preparation - Re-scaling Data - Part 2
• Data Preparation - Standardizing Data - Part 1
• Data Preparation - Standardizing Data - Part 2
• Data Preparation - Normalizing Data
• Data Preparation - Binarizing Data
• Feature Selection - Introduction
• Feature Selection - Uni-variate Part 1 - Chi-Squared Test
• Feature Selection - Uni-variate Part 2 - Chi-Squared Test
• Feature Selection - Recursive Feature Elimination
• Feature Selection - Principal Component Analysis (PCA)
• Feature Selection - Feature Importance
• Refresher Session - The Mechanism of Re-sampling, Training and Testing
• Algorithm Evaluation Techniques - Introduction
• Algorithm Evaluation Techniques - Train and Test Set
• Algorithm Evaluation Techniques - K-Fold Cross Validation
• Algorithm Evaluation Techniques - Leave One Out Cross Validation
• Algorithm Evaluation Techniques - Repeated Random Test-Train Splits
• Algorithm Evaluation Metrics - Introduction
• Algorithm Evaluation Metrics - Classification Accuracy
• Algorithm Evaluation Metrics - Log Loss
• Algorithm Evaluation Metrics - Area Under ROC Curve
• Algorithm Evaluation Metrics - Confusion Matrix
• Algorithm Evaluation Metrics - Classification Report
• Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction
• Algorithm Evaluation Metrics - Mean Absolute Error
• Algorithm Evaluation Metrics - Mean Square Error
• Algorithm Evaluation Metrics - R Squared
• Classification Algorithm Spot Check - Logistic Regression
• Classification Algorithm Spot Check - Linear Discriminant Analysis
• Classification Algorithm Spot Check - K-Nearest Neighbors
• Classification Algorithm Spot Check - Naive Bayes
• Classification Algorithm Spot Check - CART
• Classification Algorithm Spot Check - Support Vector Machines
• Regression Algorithm Spot Check - Linear Regression
• Regression Algorithm Spot Check - Ridge Regression
• Regression Algorithm Spot Check - Lasso Linear Regression
• Regression Algorithm Spot Check - Elastic Net Regression
• Regression Algorithm Spot Check - K-Nearest Neighbors
• Regression Algorithm Spot Check - CART
• Regression Algorithm Spot Check - Support Vector Machines (SVM)
• Compare Algorithms - Part 1 : Choosing the best Machine Learning Model
• Compare Algorithms - Part 2 : Choosing the best Machine Learning Model
• Pipelines : Data Preparation and Data Modelling
• Pipelines : Feature Selection and Data Modelling
• Performance Improvement: Ensembles - Voting
• Performance Improvement: Ensembles - Bagging
• Performance Improvement: Ensembles - Boosting
• Performance Improvement: Parameter Tuning using Grid Search
• Performance Improvement: Parameter Tuning using Random Search
• Export, Save and Load Machine Learning Models : Pickle
• Export, Save and Load Machine Learning Models : Joblib
• Finalizing a Model - Introduction and Steps
• Finalizing a Classification Model - The Pima Indian Diabetes Dataset
• Quick Session: Imbalanced Data Set - Issue Overview and Steps
• Iris Dataset : Finalizing Multi-Class Dataset
• Finalizing a Regression Model - The Boston Housing Price Dataset
• Real-time Predictions: Using the Pima Indian Diabetes Classification Model
• Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset
• Real-time Predictions: Using the Boston Housing Regression Model

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

Cost: 89 AED

Discount: 95% Off for Laimoon Users!

Duration: Upto 1 Hour

• Understand the fundamental concepts of deep learning and how it differs from traditional machine learning.
• Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models.
• Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems.

• Course Introduction and Table of Contents
• Deep Learning Overview
• Choosing Between ML or DL for the next AI project - Quick Theory Session
• Preparing Your Computer
• Python Basics
• Theano Library Installation and Sample Program to Test
• TensorFlow library Installation and Sample Program to Test
• Keras Installation and Switching Theano and TensorFlow Backends
• Explaining Multi-Layer Perceptron Concepts
• Explaining Neural Networks Steps and Terminology
• First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset
• Explaining Training and Evaluation Concepts
• Pima Indian Model - Steps Explained
• Coding the Pima Indian Model
• Pima Indian Model - Performance Evaluation
• Pima Indian Model - Performance Evaluation - k-fold Validation - Keras
• Pima Indian Model - Performance Evaluation - Hyper Parameters
• Understanding Iris Flower Multi-Class Dataset
• Developing the Iris Flower Multi-Class Model
• Understanding the Sonar Returns Dataset
• Developing the Sonar Returns Model
• Sonar Performance Improvement - Data Preparation - Standardization
• Sonar Performance Improvement - Layer Tuning for Smaller Network
• Sonar Performance Improvement - Layer Tuning for Larger Network
• Understanding the Boston Housing Regression Dataset
• Developing the Boston Housing Baseline Model
• Boston Performance Improvement by Standardization
• Boston Performance Improvement by Deeper Network Tuning
• Boston Performance Improvement by Wider Network Tuning
• Save & Load the Trained Model as JSON File (Pima Indian Dataset)
• Save and Load Model as YAML File - Pima Indian Dataset
• Load and Predict using the Pima Indian Diabetes Model
• Load and Predict using the Iris Flower Multi-Class Model
• Load and Predict using the Sonar Returns Model
• Load and Predict using the Boston Housing Regression Model
• An Introduction to Checkpointing
• Checkpoint Neural Network Model Improvements
• Checkpoint Neural Network Best Model
• Loading the Saved Checkpoint
• Plotting Model Behavior History
• Dropout Regularization - Visible Layer
• Dropout Regularization - Hidden Layer
• Learning Rate Schedule using Ionosphere Dataset - Intro
• Time Based Learning Rate Schedule
• Drop Based Learning Rate Schedule
• Convolutional Neural Networks - Introduction
• MNIST Handwritten Digit Recognition Dataset
• MNIST Multi-Layer Perceptron Model Development
• Convolutional Neural Network Model using MNIST
• Large CNN using MNIST
• Load and Predict using the MNIST CNN Model
• Introduction to Image Augmentation using Keras
• Augmentation using Sample Wise Standardization
• Augmentation using Feature Wise Standardization & ZCA Whitening
• Augmentation using Rotation and Flipping
• Saving Augmentation
• CIFAR-10 Object Recognition Dataset - Understanding and Loading
• Simple CNN using CIFAR-10 Dataset
• Train and Save CIFAR-10 Model
• Load and Predict using CIFAR-10 CNN Model
• RECOMENDED READINGS

• Unlimited access to the course for forever
• Digital Certificate, Transcript, student ID all included in the price
• Absolutely no hidden fees
• Directly receive CPD accredited qualifications after course completion
• Receive one to one assistance on every weekday from professionals
• Immediately receive the PDF certificate after passing
• Receive the original copies of your certificate and transcript on the next working day
• Easily learn the skills and knowledge from the comfort of your home

Cost: 89 AED

Discount: 95% Off for Laimoon Users!

Duration: Upto 11 Hours

Cost: 1690 AED

Duration: 2 Days

• Course 01: Passive Income - An Ultimate Guide
• Course 02: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero!
• Course 03: ChatGPT Complete Guide with Expertise
• Course 04: Professional Digital Marketing Diploma
• Course 05: Learn to Drive Traffic into Sales through Digital Marketing
• Course 06: SEO - Search Engine Optimisation
• Course 07: Advanced Training on SEO & SMM Strategies
• Course 08: Content Marketing Certification Course
• Course 09: Social Media Marketing Course
• Course 10: Email Marketing Course
• Course 11: Unlocking the Power of Google Adwords for Digital Marketing
• Course 12: Google Ads Training
• Course 13: Facebook Marketing
• Course 14: Instagram Marketing
• Course 15: Affiliate Marketing
• Course 16: Linkedin Marketing
• Course 17: Youtube Marketing
• Course 18: Social Media Influencer
• Course 19: Affiliate Marketing Business Essentials
• Course 20: E-Commerce: Complete Guide to Income Mastery
• Course 21: Blogging
• Course 22: ChatGPT for Marketing Content and Productivity with AI Tools
• Course 23: Lead Generation and Attraction Marketing Training
• Course 24: Marketing Strategies for Business
• Course 25: Content Writing & Copywriting For SEO and Sales

• Step by step Passive Income with ChatGPT Artificial Intelligence Open AI lessons
• One to one assistance from Passive Income with ChatGPT Artificial Intelligence Open AI professionals if you need it
• Innovative exams to test your knowledge after the Passive Income with ChatGPT Artificial Intelligence Open AI Course
• 24/7 customer support should you encounter any hiccups
• Top-class learning portal
• Unlimited lifetime access to all twenty-five Passive Income with ChatGPT Artificial Intelligence Open AI courses
• Digital Certificate, Transcript and student ID are all included in the price
• PDF certificate immediately after passing
• Original copies of your Passive Income with ChatGPT Artificial Intelligence Open AI certificate and transcript on the next working day
• Easily learn the Passive Income with ChatGPT Artificial Intelligence Open AI skills and knowledge you want from the comfort of your home

• CPD Accredited e-Certificate - Free
• CPD Accredited Hardcopy Certificate - Free
• Enrolment Letter - Free
• Student ID Card - Free

• CPD Accredited e-Certificate - 25 AED (Per Course)
• CPD Accredited Hardcopy Certificate - 39 AED  (Per Course)

Cost: 999 AED

Discount: 050% Off for Laimoon Users!

Duration: Upto 125 Hours

• Master cloud platforms like Azure & Google Cloud.
• Design & manage databases professionally.
• Build data structures & ML skills in Python.
• Secure and automate tasks with Linux & Shell.
• Code confidently in C, Javascript, and more

• Opportunity to earn a certificate for completely free.
• Get a free student ID card! (£10 postal charge will be applicable for international delivery)
• Innovative and engaging content.
• Free assessments
• 24/7 tutor support.

• Aspiring IT Helpdesk Support seeking comprehensive training and industry-specific career guidance.
• Individuals looking to transition into a tech-based role and require personalised mentorship.
• Graduates wanting to enhance their employability with tailored CV building and interview preparation.
• Career changers looking for an all-in-one solution to securing a job in the IT industry.
• Tech enthusiasts desiring to leverage industry connections for job opportunities in software development.

• IT Support Technician
• Network Support Engineer
• Network Administrator
• Network Engineer
• Senior Network Engineer

Cost: 470 AED

Discount: 98% Off for Laimoon Users!

Duration: 1 To 30 Hours

• Master cloud platforms like Azure & Google Cloud.
• Design & manage databases professionally.
• Build data structures & ML skills in Python.
• Secure and automate tasks with Linux & Shell.
• Code confidently in C, Javascript, and more

• Opportunity to earn a certificate for completely free.
• Get a free student ID card! (£10 postal charge will be applicable for international delivery)
• Innovative and engaging content.
• Free assessments
• 24/7 tutor support.

• Aspiring IT Helpdesk Support seeking comprehensive training and industry-specific career guidance.
• Individuals looking to transition into a tech-based role and require personalised mentorship.
• Graduates wanting to enhance their employability with tailored CV building and interview preparation.
• Career changers looking for an all-in-one solution to securing a job in the IT industry.
• Tech enthusiasts desiring to leverage industry connections for job opportunities in software development.

• IT Support Technician
• Network Support Engineer
• Network Administrator
• Network Engineer
• Senior Network Engineer

Cost: 470 AED

Discount: 98% Off for Laimoon Users!

Duration: 1 To 30 Hours

• Master cloud platforms like Azure & Google Cloud.
• Design & manage databases professionally.
• Build data structures & ML skills in Python.
• Secure and automate tasks with Linux & Shell.
• Code confidently in C, Javascript, and more

• Opportunity to earn a certificate for completely free.
• Get a free student ID card! (£10 postal charge will be applicable for international delivery)
• Innovative and engaging content.
• Free assessments
• 24/7 tutor support.

• Aspiring IT Helpdesk Support seeking comprehensive training and industry-specific career guidance.
• Individuals looking to transition into a tech-based role and require personalised mentorship.
• Graduates wanting to enhance their employability with tailored CV building and interview preparation.
• Career changers looking for an all-in-one solution to securing a job in the IT industry.
• Tech enthusiasts desiring to leverage industry connections for job opportunities in software development.

• IT Support Technician
• Network Support Engineer
• Network Administrator
• Network Engineer
• Senior Network Engineer

Cost: 470 AED

Discount: 98% Off for Laimoon Users!

Duration: 1 To 30 Hours

• Master cloud platforms like Azure & Google Cloud.
• Design & manage databases professionally.
• Build data structures & ML skills in Python.
• Secure and automate tasks with Linux & Shell.
• Code confidently in C, Javascript, and more

• Opportunity to earn a certificate for completely free.
• Get a free student ID card! (£10 postal charge will be applicable for international delivery)
• Innovative and engaging content.
• Free assessments
• 24/7 tutor support.

• Aspiring IT Helpdesk Support seeking comprehensive training and industry-specific career guidance.
• Individuals looking to transition into a tech-based role and require personalised mentorship.
• Graduates wanting to enhance their employability with tailored CV building and interview preparation.
• Career changers looking for an all-in-one solution to securing a job in the IT industry.
• Tech enthusiasts desiring to leverage industry connections for job opportunities in software development.

• IT Support Technician
• Network Support Engineer
• Network Administrator
• Network Engineer
• Senior Network Engineer

Cost: 470 AED

Discount: 98% Off for Laimoon Users!

Duration: 1 To 30 Hours

• Introduction: Learners will gain an understanding of the fundamentals and concepts of machine learning.
• Numpy Library: Learners will explore the NumPy library and its essential functions for efficient numerical operations in Python.
• Matplotlib: This module will teach learners how to create data visualizations and plots using Matplotlib, a popular Python library.
• Polynomial Regression: Learners will delve into the concept of polynomial regression, a machine learning technique for modeling nonlinear relationships between variables.

• Courses accredited by the UK's top awarding bodies.
• Opportunity to order PDF & Hardcopy Certificate.
• Lifetime access to the whole collection of learning materials.
• Interactive Content.
• You can study and complete the course at your own pace.
• 24/7 Student Support.
• Opportunity to learn from trained professionals.
• Affordable price.

• Machine Learning Engineer
• Data Scientist
• AI Researcher
• Data Analyst
• Python Developer
• Computer Vision Engineer
• Natural Language Processing Specialist
• Deep Learning Scientist
• Predictive Analytics Expert
• Business Intelligence Analyst

Cost: 45 AED

Discount: 90% off through Laimoon!

Duration: 5 Hours

• Data understanding and data visualization with Python
• Explore probability and statistics in Python
• Learn feature engineering and dimensionality reduction with Python
• Cover artificial neural networks with Python
• Cover CNN and RNN with Python
• Build your own AI applications

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 100+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• Introduction to the Course
• Basics for Data Science: Python for Data Science and Data Analysis
• Basics for Data Science: Data Understanding and Data Visualization with Python
• Basics for Data Science: Mastering Probability and Statistics in Python
• Machine Learning: Machine Learning Crash Course
• Machine Learning: Feature Engineering and Dimensionality Reduction with Python
• Deep learning: Artificial Neural Networks with Python
• Deep learning: Convolutional Neural Networks with Python
• Deep learning: Recurrent Neural Networks with Python

Cost: 49 USD

Duration: 1 To 2 Months

• Unleash the potential of heuristic methodologies in deep learning using R.
• Construct and optimize advanced neural networks for diverse data sets.
• Interpret and apply cutting-edge heuristic algorithms to solve complex real-world problems.
• Demonstrate proficiency in implementing R-based solutions for efficient model training and evaluation.
• Cultivate a strategic mindset to innovate and adapt heuristic approaches for dynamic data landscapes.

• Section 01: Experimental Design - Heuristics Project 1-Agriculture
• Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies
• Section 03: Experimental Design: Heuristics Project 3-Energy Sector
• Section 04: Experimental Design: Heuristics Project 4-Financial Markets

Cost: 50 AED

Duration: Upto 4 Hours

• Gain a comprehensive understanding of R's application in constructing and optimizing neural networks.
• Master the art of data preprocessing and feature engineering for enhanced model performance.
• Explore cutting-edge techniques in deep learning, from convolutional to recurrent neural networks.
• Acquire proficiency in leveraging R's capabilities for complex tasks like image recognition and natural language processing.
• Develop the skills to implement and fine-tune neural networks, paving the way for innovation in diverse data-driven domains.

• Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1)
• Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2)
• Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1)
• Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2)

Cost: 50 AED

Duration: Upto 3 Hours

• Master the architecture and principles of artificial neural networks.
• Develop proficiency in implementing advanced deep learning techniques.
• Acquire the skills to optimize neural networks for enhanced performance.
• Explore real-world applications of deep learning in diverse industries.
• Foster critical thinking to innovate and adapt neural networks for evolving challenges.

• Section 01: Introduction
• Section 02: ANN Installation
• Section 03: Data Preprocessing
• Section 04: Data Encoding
• Section 05: Steps to Build ANN
• Section 06: Predictions and Imbalance-Learn

Cost: 50 AED

Duration: Upto 3 Hours

• Master the fundamentals of Deep Learning and Neural Networks in Python.
• Acquire proficiency in implementing advanced algorithms for AI applications.
• Develop the skills to design and optimize neural network architectures.
• Gain insights into real-world applications and case studies in the field.
• Enhance problem-solving abilities through hands-on projects and challenges.

• Course Introduction and Table of Contents
• Deep Learning Overview
• Choosing Between ML or DL for the next AI project - Quick Theory Session
• Preparing Your Computer
• Python Basics
• Theano Library Installation and Sample Program to Test
• TensorFlow library Installation and Sample Program to Test
• Keras Installation and Switching Theano and TensorFlow Backends
• Explaining Multi-Layer Perceptron Concepts
• Explaining Neural Networks Steps and Terminology

Cost: 50 AED

Duration: Upto 12 Hours

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• You have just found Keras.
• Multi-backend Keras and
• Guiding principles
• Installation
• Configuring Keras backend

• Sequential model
• Functional API

• About Keras models
• Sequential
• Model (functional API)

• About Keras layers
• Core Layers
• Convolutional Layers
• Pooling Layers
• Locally-connected Layers
• Recurrent Layers
• Embedding Layers
• Merge Layers
• Advanced Activations Layers
• Normalization Layers
• Noise layers
• Layer wrappers
• Writing your own Keras layers

• Sequence Preprocessing
• Text Preprocessing
• Image Preprocessing
• Losses
• Metrics
• Optimizers
• Activations
• Callbacks
• Datasets
• Applications
• Backend
• Initializers
• Regularizers
• Constraints
• Visualization
• Scikit-learn API
• Utils

Cost: 49 USD

Duration: 1 To 2 Months

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 13+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• Basics of AI
• Exploring the Zero-Sum Games
• Using the Minimax Algorithm
• Create Your Own Tic-Tac-Toe Game with AI

• What Is a Decision Tree?
• Implementing Decision Trees in Your Game
• Decision Trees for General Logic and AI Behavior
• Writing a Battle City-Like Game AI
• Putting It All Together – A Battle City-Like Game

• What Is a Finite-State Machine?
• Implementing Finite State Machines
• State Machines for General Logic and AI Behavior
• Applying FSM Basis to the Pac-Man-Like Game

• Graphs for Pathfinding
• Navigation Graphs
• Implementing Graphs and Navigation Graphs
• Pathfinding Algorithms
• Implementing A*

• Path Planning
• Point of Visibility in Use
• Path Planner
• Implementing a Path Planner Class
• Putting It All Together – A Pac-Man-Like Game

Cost: 49 USD

Duration: 1 To 2 Months

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• Software Installation

• Introduction
• Keras Backends
• Design and Compile a Model
• Model Training, Evaluation, and Prediction
• Training with Data Augmentation
• Training with Transfer Learning and Data Augmentation

• Introduction to TensorFlow
• Introduction to TensorBoard
• Types of Parallelism in Deep Learning – Synchronous and Asynchronous
• Distributed TensorFlow
• Configuring Keras to use TensorFlow for Distributed Problems

• Introduction
• Introduction to Google Cloud Machine Learning Engine
• Datasets, Feature Columns, and Estimators
• Representing Data in TensorFlow
• Quick Dive into TensorFlow Estimators
• Creating Data Input Pipelines
• Setting Up Our Estimator
• Packaging Our Model
• Training with Google Cloud ML Engine
• Hyperparameter Tuning in the Cloud
• Deploying Our Model for Prediction
• Creating Our Prediction API

• TensorFlow for Building Deep Learning Models
• Basic Syntaxes, Function Optimization, Variables, and Placeholders
• TensorBoard for Visualization

• Start by Loading the Imported Dataset
• Building the Layers of the Neural Network in TensorFlow
• Optimizing the Softmax Cross Entropy Function
• Using DNN Predicting Whether Breast Cancer Cells Are Benign or Not

• Importing the Two Datasets Using TensorFlow and Sklearn API
• Writing the TensorFlow Code to Add Convolutional and Pooling Layers
• Using API to Optimize CNN
• Implementing CNN to Create a Face Recognition System

• Understanding the RNN and the Need for LSTM
• Implementing RNN
• Monthly Riverflow Prediction of Turtle River in Ontario
• Implement LSTM Project to Predict Decimal Number of Given Binary Representation

• Encoder and Decoder for Efficient Data Representation
• TensorFlow Code Using Linear Autoencoder to Perform PCA on a 4D Dataset
• Using Stacked Autoencoders for Representation on MNIST Dataset
• Build a Deep Autoencoder to Reduce Latent Space of LFW Face Dataset

• Generative Adversarial Networks for Creating Synthetic Dataset
• Downloading and Setting Up the (Microsoft Research Asia) Geolife Project Dataset
• Coding the Generator and Discriminator Using TensorFlow
• Training GANs to Create Synthetic GPS Based Trajectories

Cost: 49 USD

Duration: 1 To 2 Months

• Government Certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• Course Overview
• Installation and Setup
• Lesson Overview
• Data Representation
• Loading a Dataset from the UCI Machine Learning Repository
• Data Pre-Processing
• Cleaning the Data
• Appropriate Representation of the Data
• Lifecycle of Model Creation
• Machine Learning Libraries and scikit-learn
• Keras
• Model Training
• Creating a Simple Model
• Model Tuning
• Regularization

• Lesson Overview
• Introduction to ANNs
• Linear Transformations
• Matrix Transposition
• Introduction to Keras

• Lesson Overview
• Building Your First Neural Network
• Gradient Descent for Learning the Parameters
• Model Evaluation

• Lesson Overview
• Cross-Validation
• Cross-Validation for Deep Learning Models
• Evaluate Deep Neural Networks with Cross-Validation
• Model Selection with Cross-validation
• Write User-Defined Functions to Implement Deep Learning Models with Cross-Validation

• Lesson Overview
• Regularization
• L1 and L2 Regularization
• Dropout Regularization
• Other Regularization Methods
• Data Augmentation
• Hyperparameter Tuning with scikit-learn

• Lesson Overview
• Accuracy
• Imbalanced Datasets
• Confusion Matrix
• Computing Accuracy and Null Accuracy with Healthcare Data
• Calculate the ROC and AUC Curves

• Lesson Overview
• Computer Vision
• Architecture of a CNN
• Image Augmentation
• Amending Our Model by Reverting to the Sigmoid Activation Function
• Changing the Optimizer from Adam to SGD
• Classifying a New Image

• Lesson Overview
• Pre-Trained Sets and Transfer Learning
• Fine Tuning a Pre-Trained Network
• Classification of Images that are not Present in the ImageNet Database
• Fine-Tune the VGG16 Model
• Image Classification with ResNet

• Lesson Overview
• Sequential Memory and Sequential Modeling
• Long Short-Term Memory – LSTM
• Predict the Trend of Apple's Stock Price Using an LSTM with 50 Units (Neurons)
• Predicting the Trend of Apple's Stock Price Using an LSTM with 100 Units

Cost: 49 USD

Duration: 1 To 2 Months

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• Set Up Caffe2 on Linux
• Understanding the Caffe2 Architecture
• Transitioning from Machine Learning to Deep Learning
• Running an Image Classifier Using Caffe2

• Learn about Matrices Using Python – NumPy
• Understanding and Implementing Logistic Regression and Neural Networks
• Understanding and Implementing Deep Neural Networks

• Caffe2 Introduction
• Caffe2 Python Wrapper
• Mathematical Operators in Caffe2
• Network Creators and Assisters in Caffe2 – Part 1
• Network Creators and Assisters in Caffe2 – Part 2
• Network Creators and Assisters in Caffe2 – Part 3

• How Machines Learn to See!
• Introduction to Convolutional Neural Networks
• Implement a Convolution Layer Using Caffe2
• Pooling Layer and Dropout in Caffe2
• Role of Activation Functions in Solving Non-Linear Optimization

• Machine Learning Strategy
• How to Perform Data Selection, Preparation, and Processing
• Regularization of Neural Networks
• Optimizing Neural Networks
• Optimization Algorithms

• Sequence Learning
• Introduction to Recurrent Neural Networks
• LSTMs – A Special Case of RNNs
• Learning about Word Embeddings
• Introduction to Augmented Recurrent Neural Networks

• Why Deep Learning?
• Machine Learning Categories
• Why Caffe2?
• Install and Set Up Caffe2
• Build a Caffe2 Docker

• Definition of a Computational Graph Through Examples
• Introduce Workspace, Operators, and Nets
• Working with Computational Graphs

• Housing Price Prediction
• Representing a Linear Regression Model in a Computational Graph
• Training Procedure
• Training a Linear Regression Model

• Fashion Product Recognition Problem
• What Is Supervised Learning?
• What Is Transfer Learning?
• Model Zoo in Caffe2
• Fine-Tune a Model for Recognizing Fashion Products

• Chatbot Customer Service
• What Is Sequence-to-Sequence Learning?
• What Are RNNs and LSTMs?
• Training an RNN-Based Model to Write like Shakespeare

• Why Deep Reinforcement Learning?
• What Is Deep Reinforcement Learning?
• What Is Deep Q-Network?
• Training a Deep Q- Network for Solving the Cart-Pole Problem

• AI on Mobile Devices Using Face ID
• Challenges in Running AI Models on Mobile Devices
• SequeezeNet
• Deploy SequeezeNet on a Mobile Device

Cost: 49 USD

Duration: 1 To 2 Months

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• The Course Overview
• Introduction to PyTorch
• Installing PyTorch on Linux and Windows
• Installing CUDA
• Introduction to Tensors and Variables
• Working with PyTorch and NumPy
• Working with PyTorch and GPU
• Handling Datasets in PyTorch
• Deep Learning Using PyTorch

• Building a Simple Neural Network
• Loss Functions in PyTorch
• Optimizers in PyTorch
• Training the Neural Network
• Saving and Loading a Trained Neural Network
• Training the Neural Network on a GPU

• Computer Vision Motivation
• Convolutional Neural Networks
• The Convolution Operation
• Concepts - Strides, Padding, and Pooling
• Loading and Using MNIST Dataset
• Building the Model
• Training and Testing

• Sequence Models Motivation
• Word Embedding
• Recurrent Neural Networks
• Building a Text Generation Model in PyTorch
• Training and Testing

• Autoencoders Motivation
• How Autoencoders Work
• Types of Autoencoders
• Building Denoising Autoencoder Using PyTorch
• Training and Testing

• Reinforcement Learning Motivation
• Reinforcement Learning Concepts
• DQN, Experience Replay
• The OpenAI Gym Environment
• Building the Cartpole Agent Using DQN
• Training and Testing

• The Course Overview
• What Makes PyTorch Special?
• Installing PyTorch

• Problem: Detect a Specific Type of Object in an Image
• Quick Win: Using a Pretrained AlexNet Model for Beaver Detection
• Getting and Preparing Image Data
• Building, Training, and Testing Your Model
• Using Your Model to Detect Beavers and What’s Next?

• Problem: Recognize the Language of a Specific Text
• Understanding and Preparing Language Data
• Building, Training, and Testing Your Model for Language Detection
• Using Your Model to Detect Languages and What’s Next?

• Problem: Translate a Specific Text from One Language to Another
• Understanding and Preparing Dataset for Language Translation
• Building, Training, and Testing Your Models for Language Translation
• Using Your Models for Language Translation

• Problem: Extract Key Style Features from One Image and Use It on Another One
• Preparing Images for Style Transfer
• Building and Training Style Transfer Model

Cost: 49 USD

Duration: 1 To 2 Months

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 12+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• The Course Overview
• A Brief History of Deep Learning
• Deep Learning Today
• Tools, Requirements, and Setup

• Exploring Supervised Learning
• Representational Learning and Feature Engineering
• Linear Regression
• The Perceptron

• Feedforward Networks
• Backpropagation
• Neural Networks from Scratch
• Overfitting and Regularization

• Understanding CNNs
• Implementing a CNN
• Deep CNNs

• Very Deep CNNs
• Batch Normalization
• Fine-Tuning

• Semantic Segmentation
• Fully Convolutional Networks

• Recurrent Neural Networks
• LSTM and Advancements

• Building a CNN to Detect General Images
• Training and Deploying on a Cluster

• Comparison of DL Frameworks
• Exciting Areas for Upcoming Research

• The Course Overview
• Fundamentals of Neural Networks
• Training Deep Neural Networks
• Using Forward Propagation, Backprop, and SGD
• Logistic Regression with a Neural Network Mindset
• Convolutional Neural Network Handwriting Recognition

• Working with MxNet and Gluon
• Defining and Training Neural Networks in MxNet/Gluon
• Working with TensorFlow and Keras
• Defining and Training Neural Networks in Keras/TensorFlow
• Comparing the Two Frameworks
• Mini Project - CIFAR Classification

• Weight Initialization for Deep Networks
• Regularization and Dropout
• Normalizing and Vanishing/Exploding Gradients
• Mini Project – SIGNS Dataset

• Understanding Stochastic Gradient Descent
• Adaptive Learning Algorithms - RMSProp and Adam
• Mini Project - Language Modeling

• Hyperparameters
• Tuning Hyperparameters - Grid Search
• Tuning Hyperparameters - Random Search
• Mini Project -Music Synthesis

Cost: 49 USD

Duration: 1 To 2 Months

• Government Certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 20+ hrs

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

• What is Machine Learning
• Types of Machine Learning
• How does a Machine Learning Algorithm Works
• Parametric and Non-Parametric Algorithms
• Regression and Classification
• Clustering
• Preparing Your Data
• Outliers
• Problem of Underfitting and Overfitting
• The Bias-Variance trade-off
• Intro to jupyter notebooks
• Data Science packages

• What is Regression Analysis
• Linear Regression
• Cost Function
• Gradient Descent
• Polynomial Regression
• Logistic Regression
• Cost Function for Logistic Regression
• Regularization
• Evaluating a Machine Learning Model

• Introduction to Conditional Probability
• Bayes Rule
• Bayesian Learning
• Naïve Bayes Algorithm
• Test your understanding of Bayes Theorem
• Solution – Test Your Understanding of Bayes Theorem
• Bayes Net
• Markov Chains

• Decision Trees
• Gini Index
• ID3 Algorithm – Entropy
• ID3 Algorithm – Information Gain
• Practice Example – Information Gain

• House Price Predictions

• SMS Spam Classifier

• What is Ensemble Learning
• Bagging
• Random Forest Algorithm
• Boosting

• Introduction to Support Vector Machines
• Support Vectors
• Kernel
• Hyperparameters in SVMs

• What is Instance Based Learning
• K-Nearest Neighbours Algorithm
• Dimensionality Reduction
• Principle Component Analysis
• Feature Scaling
• K-Means Algorithm

• Breast Cancer Prediction

• Introduction to Deep Learning
• Perceptron
• Perceptron Exercise
• Solution – Perceptron Exercise
• Deep Neural Networks
• Deep Neural Networks – 2
• Activation Functions - 1
• Activation Functions - 2
• Backpropagation Algorithm
• Convolutional Neural Nets

• Image Classification using Deep Learning

Cost: 49 USD

Duration: 1 To 2 Months

• After completing this course, learners will be able to:
• Learn Python for data analysis using NumPy and Pandas
• Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas
• Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks
• Understand Python for data science and machine learning 
• Get acquainted with Recommender Systems with Python
• Enhance your understanding of Python for Natural Language Processing (NLP)

• Web Developer
• Software Engineer
• Data Scientist
• Machine Learning Engineer
• Data Analyst

Cost: 8 GBP

Duration: Upto 1 Day

• Master Python's role in data manipulation and analysis.
• Acquire proficiency in machine learning algorithms and applications.
• Demonstrate competence in data visualization techniques.
• Develop skills to tackle real-world data science challenges.
• Create and deploy machine learning models for practical solutions.

• Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types
• Introduction to Machine Learning - Part 2 - Classifications and Applications
• System and Environment Preparation - Part 1
• System and Environment Preparation - Part 2
• Learn Basics of Python - Assignment
• Learn Basics of Python - Assignment
• Learn Basics of Python - Functions
• Learn Basics of Python - Data Structures
• Learn Basics of NumPy - NumPy Array
• Learn Basics of NumPy - NumPy Data
• Learn Basics of NumPy - NumPy Arithmetic

Cost: 50 AED

Duration: Upto 11 Hours

• Course 01: CNC (Computer Numerical Control) Programming for Machining
• Course 02: AutoCAD VBA Programming - Beginner course
• Course 03: Python Basic Programming for Absolute Beginners
• Course 04: 3D Modeling for 3D Printing
• Course 05: AutoCAD Programming using with Windows Forms
• Course 06: Digital Art – Sketching In Photoshop
• Course 07: Electronic Device and Circuits Protection Training
• Course 08: Foundations of Artificial Intelligence: Building Intelligent Systems
• Course 09: Information Architecture (IA) Fundamentals for Website Design
• Course 10: Node JS: API Development with Swagger Interface Description Language
• Course 11: Refactor Javascript Course
• Course 12: Responsive Web Design
• Course 13: Solidworks Drawing Tools Training: Test Preparation
• Course 14: Web Design with Adobe XD
• Course 15: Learn MySQL from Scratch
• Course 16: PHP Web Development with MySQL
• Course 17: Learn Spring & Angular Material with a Full Web Application
• Course 18: JavaScript Foundations
• Course 19: jQuery Masterclass Course: JavaScript and AJAX Coding Bible
• Course 20: Basic HTML 5
• Course 21: CSS Fundamentals
• Course 22: HTML and CSS Coding: Beginner to Advanced
• Course 23: JavaScript Functions
• Course 24: Microcontroller Simulation
• Course 25: Computer Simulation of Realistic Mathematical Models Training
• Course 26: Mechanical Engineering
• Course 27: Supercharger Automobile Engineering
• Course 28: Data Center Training Essentials: Mechanical & Cooling
• Course 29: Power Electronics for Electrical Engineering
• Course 30: Engineering Mechanics Course for Beginners
• Course 31: Robotics - Sensors
• Course 32: MVC and Entity Framework
• Course 33: Power Tools and How to Use Them

• Step by step CNC Programming for Machining  lessons
• One to one assistance from CNC Programming for Machining professionals if you need it
• Innovative exams to test your knowledge after the CNC Programming for Machining course
• 24/7 customer support should you encounter any hiccups
• Top-class learning portal
• Unlimited lifetime access to all thirty-three CNC Programming for Machining courses
• Digital Certificate, Transcript and student ID are all included in the price
• PDF certificate immediately after passing
• Original copies of your CNC Programming for Machining certificate and transcript on the next working day
• Easily learn the CNC Programming for Machining skills and knowledge you want from the comfort of your home

• CPD Accredited e-Certificate - Free
• CPD Accredited Hardcopy Certificate - Free
• Enrolment Letter - Free
• Student ID Card - Free

• CPD Accredited e-Certificate - 25 AED (Per Course)
• CPD Accredited Hardcopy Certificate - 39 AED  (Per Course)

Cost: 825 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 165 Hours

• Learn the core principles of NLP, which will help you become more effective in the workplace
• Increase your communication skills to enhance interpersonal relationships
• Ability to influence others using NLP strategies in a positive way
• Gain insights on emotional intelligence, personal growth, and self-awareness
• Grow your analytical ability to analyse problems from different perspectives to make effective decisions

• NLP Lesson 1 – Introduction, Cause and Effect    FREE    
• NLP Lesson 2 – The Map is Not the Territory        
• NLP Lesson 3 – Sensory Acuity        
• NLP Lesson 4 – Rapport        
• NLP Lesson 5 – Representational Systems        
• NLP Lesson 6 – Anchoring        
• NLP Lesson 7 – State Elicitation        
• NLP Lesson 8 – Language Patterns        
• NLP Lesson 9 – Language Patterns 2        
• NLP Lesson 10 – Chunking        
• NLP Lesson 11 – Frames & Reframing        
• NLP Lesson 12 – Reframing        
• NLP Lesson 13 – Strategies        
• NLP Lesson 14 – Meta Programs        
• NLP Lesson 15 – Timelines        
• NLP Lesson 16 – Values        
• NLP Lesson 17 – Goalsetting        
• NLP Lesson 18 – Goalsetting 2        
• NLP Lesson 19 – Models _ Applications        
• NLP Lesson 20 – Satir Categories        
• NLP Lesson 21 – Emotional Intelligence

Cost: 50 AED

Duration: Upto 5 Hours

Cost: 9.99 GBP

Discount: 96% Off for Laimoon Users!

Duration: Upto 4 Hours

Cost: 89 AED

Discount: 95% off through Laimoon!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Exam
• Lifetime Access

• Students
• Job seekers
• Teachers

Cost: 89 AED

Discount: 95% off through Laimoon!

Duration: Upto 4 Hours

• Free Time Management Course
• Free Exam
• Lifetime Access

• Students
• Job seekers
• Teachers

Cost: 89 AED

Discount: 95% off through Laimoon!

Duration: Upto 4 Hours

• Free Time Management Course
• Free Exam
• Lifetime Access

• Students
• Job seekers
• Teachers

Cost: 89 AED

Discount: 95% off through Laimoon!

Duration: Upto 10 Hours

• Free Time Management Course
• Free Exam
• Lifetime Access

• Students
• Job seekers
• Teachers

Cost: 89 AED

Discount: 95% off through Laimoon!

Duration: Upto 4 Hours

• Upon completion of this course, participants will be able to:
• Gain comprehensive insights into the fundamental principles of Artificial Intelligence.
• Understand the critical mathematical concepts underpinning AI technologies.
• Develop proficiency in various AI knowledge representation methods.
• Acquire a solid foundation in Machine Learning, Deep Learning, and Natural Language Processing techniques.
• Familiarise with the applications and integrations of AI in Robotics and Computer Vision.

• Unlimited access to the course for a lifetime.
• Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course.
• Structured lesson planning in line with industry standards.
• Immerse yourself in innovative and captivating course materials and activities.
• Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.
• Flexibility to complete the Course at your own pace, on your own schedule.
• Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.

Cost: 89 AED

Discount: 95% Off for Laimoon Users!

Duration: Upto 4 Hours

• Master the fundamentals of data science and machine learning.
• Gain proficiency in R programming for data analysis.
• Understand various data types and structures in R.
• Learn intermediate R techniques for data manipulation.
• Create impactful data visualizations using R.
• Generate reports with R Markdown for effective communication.
• Develop web applications with R Shiny for interactive data exploration.
• Explore the principles and applications of machine learning.
• Acquire skills necessary to start a career in data science.
• Apply machine learning concepts to real-world business scenarios.

• Business Professionals
• Managers and Executives
• Entrepreneurs and Business Owners
• Anyone Interested in Leveraging Data for Business Success

• Affordable, engaging & high-quality e-learning study materials.
• Tutorial videos/materials from the industry-leading experts.
• Study in a user-friendly, advanced online learning platform.
• Efficient exam systems for the assessment and instant result.
• The UK & internationally recognized accredited qualification.
• Access to course content on a mobile, tablet, or desktop from anywhere, anytime.
• The benefit of career advancement opportunities.
• 24/7 student support via email.

• Data Science and Machine Learning Course Intro
• Getting Started with R
• Data Types and Structures in R
• Intermediate R
• Data Manipulation in R
• Data Visualization in R
• Creating Reports with R Markdown
• Building Webapps with R Shiny
• Introduction to Machine Learning
• Starting A Career in Data Science

Cost: 15 GBP

Discount: 90% Off for Laimoon Users!

Duration: Upto 22 Hours

• Proficiency in Python programming for data science.
• Competence in data manipulation using Pandas and NumPy.
• Advanced data visualization with Matplotlib.
• Handling missing data and data cleaning.
• Data aggregation and transformation.
• Working with various data formats (CSV, JSON).
• Exploring hierarchical indexing and pivot tables.
• Implementing data analysis and statistical techniques.
• Creating impactful data visualizations.
• Real-world data analysis projects.

• We use the very latest tools and applications in online education to teach you The Data Science with Python in exciting and innovative ways.
• You’ll be able to take the Data Science with Python course anywhere. Learn on your laptop, be taught on your tablet, school yourself on your smartphone, and practise on your PC. The choice is yours!
• Is time short? Study at the hours that suit you. As long as you have an online device, you can learn at any time of the day or night.

• Course Introduction and Table of Contents
• Introduction to Python, Pandas and Numpy
• System and Environment Setup
• Python Strings
• Python Numbers and Operators
• Python Lists
• Tuples in Python
• Sets in Python
• Python Dictionary
• NumPy Library - Introduction
• NumPy Array Operations and Indexing
• NumPy Multi-Dimensional Arrays
• Introduction to Pandas Series
• Introduction to Pandas Dataframes
• Pandas Dataframe conversion and drop
• Pandas Dataframe summary and selection
• Pandas Missing Data Management and Sorting
• Pandas Hierarchical-Multi Indexing
• Pandas CSV File Read Write
• Pandas JSON File Read Write
• Pandas Concatenation Merging and Joining
• Pandas Stacking and Pivoting
• Pandas Duplicate Data Management
• Pandas Mapping
• Pandas Grouping
• Pandas Aggregation
• Pandas Binning or Bucketing
• Pandas Re-index and Rename
• Pandas Replace Values
• Pandas Dataframe Metrics
• Pandas Random Permutation
• Pandas Excel sheet Import
• Pandas Condition Selection and Lambda Function
• Pandas Ranks Min Max
• Pandas Cross Tabulation
• Matplotlib Graphs and plots
• Matplotlib Histograms

Cost: 19 GBP

Duration: Upto 6 Hours

• Grasp the foundations of spatial data analytics.
• Acquire expertise in data preparation and visualization.
• Apply machine learning to spatial datasets.
• Construct an interactive analytics dashboard.
• Develop a functional dashboard server.
• Access and understand project source code.
• Interpret spatial data patterns.
• Utilize geospatial visualization techniques.
• Implement machine learning for spatial predictions.
• Leverage spatial data for decision-making.
•  

• Aspiring Spatial Data Analysts
• GIS Enthusiasts
• Data Science Professionals
• Geography and Environmental Science Students
• Anyone Passionate About Spatial Analytics

• Affordable, engaging & high-quality e-learning study materials.
• Tutorial videos/materials from the industry-leading experts.
• Study in a user-friendly, advanced online learning platform.
• Efficient exam systems for the assessment and instant result.
• The UK & internationally recognized accredited qualification.
• Access to course content on mobile, tablet, or desktop from anywhere, anytime.
• The benefit of career advancement opportunities.
• 24/7 student support via ; 

• Section 01: Introduction
• Section 02: Setup and Installations
• Section 03: Data Preparation
• Section 04: Data Visualization
• Section 05: Machine Learning
• Section 06: Building the Dashboard
• Section 07: Creating the Dashboard Server
• Section 08: Project Source Code

Cost: 70 AED

Duration: Upto 5 Hours

• Aspiring Data Scientists
• Data Analysts
• Business Professionals
• IT and Software Engineers
• Statisticians and Mathematicians
• Anyone Passionate About Data and Machine Learning

• Affordable, engaging & high-quality e-learning study materials;
• Tutorial videos/materials from the industry-leading experts;
• Study in a user-friendly, advanced online learning platform;
• Efficient exam systems for the assessment and instant result;
• The UK & internationally recognised accredited qualification;
• Access to course content on mobile, tablet or desktop from anywhere, anytime;
• The benefit of career advancement opportunities;
• 24/7 student support via email.

• Data Science and Machine Learning Course Intro
• Data Types and Structures in R
• Data Types and Structures in R
• Intermediate R
• Data Manipulation in R
• Data Visualization in R
• Creating Reports with R Markdown
• Building Webapps with R Shiny
• Introduction to Machine Learning
• Starting A Career in Data Science

Cost: 100 AED

Discount: 90% Off for Laimoon Users!

Duration: Upto 22 Hours

• Understand the basics of Microsoft Azure Machine Learning Studio and its administrative features.
• Explore the various modules available in machine learning and their applications in real-world scenarios.
• Perform automated tutorials to predict income using machine learning algorithms.
• Utilize linear regression algorithm to predict automobile prices based on relevant data.
• Process and analyze datasets, demonstrating data manipulation and preparation techniques.
• Implement cross-validation techniques to evaluate and improve regression model performance.
• Perform clustering on the Iris dataset to identify patterns and group data points.
• Gain familiarity with the Notebook feature in Microsoft Azure Machine Learning Studio for custom code development and advanced analysis.

• Introduction to Microsoft Azure Machine Learning Studio and Administration
• Various Modules in Machine Learning
• Prediction of Income (Automated Tutorial)
• Prediction of Automobile Price using Linear Regression Algorithm
• Dataset Processing and Analysis (Sample-1)
• Cross Validation for Regression (Sample-2)
• Clustering Group Iris data (Sample-3)
• Introduction on Notebook in Microsoft Azure Machine Learning Studio

• Unlimited access to the course for a lifetime.
• Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course.
• Structured lesson planning in line with industry standards.
• Immerse yourself in innovative and captivating course materials and activities.
• Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.
• Flexibility to complete the Course at your own pace, on your own schedule.
• Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.

• Students
• Recent graduates
• Job Seekers
• Anyone interested in this topic
• People already working in the relevant fields and want to polish their knowledge and skill.

Cost: 49 AED

Discount: 95% Off for Laimoon Users!

Duration: Upto 4 Hours

• Through this comprehensive course, you should be able to:
• Understand the fundamental concepts of deep learning and artificial neural networks.
• Install and configure an artificial neural network framework.
• Preprocess and structure data for optimal model performance.
• Encode data effectively for neural network training and predictions.
• Build and deploy artificial neural networks for real-world applications.
• Address data imbalance challenges and optimise model accuracy.

• Introduction
• ANN Installation
• Data Preprocessing
• Data Encoding
• Steps to Build ANN
• Predictions and Imbalance-Learn

• Data scientists and machine learning practitioners seeking to expand their knowledge.
• Software engineers interested in leveraging deep learning techniques.
• Students pursuing a career in artificial intelligence and machine learning.
• Professionals looking to enhance their skills in neural network development.
• Individuals with a passion for exploring advanced machine learning techniques.

Cost: 49 AED

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1: Introduction to Artificial Intelligence
• Lecture 2: Machine Learning
• Lecture 3: Neural Networks
• Lecture 4: Natural Language Processing (NLP)
• Lecture 5: Computer Vision
• Lecture 6: Ethics and Societal Implications of AI

Cost: 19 GBP

Discount: 90% off through Laimoon!

Duration: Upto 4 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1 - Introduction
• Lecture 2 - Related Materials

Cost: 49 GBP

Discount: 90% off through Laimoon!

Duration: Upto 1 Hour

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Introduction
• Lesson 1: Why is learning to learn so important?
• Lesson 2: How does learning happen?
• Lesson 3: Where does learning come from?
• Lesson 4: What approaches to learning are there?
• Lesson 5: What can get in the way of learning?
• Lesson 6: How can we make learning happen?
• End Matter

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 4 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1 - Introduction to Chat GPT
• Lecture 2 - ChatGPT The Ultimate Tool for 10X Productivity
• Lecture 3 - ChatGPT The Fastest Way to Write a Blog Post
• Lecture 4 - Eliminate Proofreading and Plagiarism Errors with ChatGPT
• Lecture 5 - Effortlessly Write and Share Blogs on Social Media with ChatGPT
• Lecture 6 - ChatGPT The Ultimate Tool for Writing Email Sequences
• Lecture 7 - ChatGPT The Key to Easily Writing ProfessionalQuality Code
• Lecture 8 - Effortlessly Create HighQuality Content with ChatGPT
• Lecture 9 - ChatGPT The Key to Easily Creating ProfessionalQuality Graphics
• Lecture 10 - Maximize the Quality of Your Writing with ChatGPTs Proofreading Features
• Lecture 11 - ChatGPT The Key to Accurate and Fluent Translation
• Lecture 12 - ChatGPT The Ultimate Tool for Web Design
• Lecture 13 - Effortlessly Create Effective Facebook Ads with ChatGPT
• Lecture 14 - Recap

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 3 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1 - Introduction
• Lecture 2 - Exploring the new technology
• Lecture 3 - AI Will change every industry
• Lecture 4 - How to make money with ChatGPT
• Lecture 5 - ChatGPT for Idea Discovery
• Lecture 6 - ChatGPT for Students and Teachers
• Lecture 7 - ChatGPT for Creatives
• Lecture 8 - Conclusion

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1. Introduction
• Lecture 2. What is artificial intelligence
• Lecture 3. Writing post article with ChatGPT
• Lecture 4. Writing Programming Code with ChatGPT
• Lecture 5. how write YouTube video keywords

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1. Introduction
• Lecture 2. Writing Services for a Wide Range of Needs and Markets
• Lecture 3. Freelance Freelance Platforms and ChatGPT to Boost Your Income
• Lecture 4. ChatGPT_s Online Profits Blueprint Dropshipping _ Affiliate Marketing
• Lecture 5. Maximizing Earnings with Advanced ChatGPT Techniques
• Lecture 6. Must Watch

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1 - Introduction
• Lecture 2 - Introduction to ChatGPT
• Lecture 3 - Basic Language Learning With ChatGPT
• Lecture 4 - Conversational Practice with ChatGPT
• Lecture 5 - Last Section

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Lecture 1. Introduction To Instructors And Course!
• Lecture 2. The Newest, Hottest And Best Tool For Passive Income - ChatGPT AI
• Lecture 3. Introduction To Fiverr And The Gig Economy
• Lecture 4. The Logistics - How To Get Started With ChatGPT and Fiverr Step By Step
• Lecture 5. The Sales - How To Make Money On Fiverr With Zero Work Using ChatGPT
• Lecture 6. The Branding - How To Position Your Listings And Yourself To Maximize Sales
• Lecture 7. Course Wrap-Up And Next Steps

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

• Getting Started Capabilities of ChatGPT for PR Practitioners
• ChatGPT for the Modern PR Practitioner
• Big Picture More Uses for ChatGPT in PR

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

• Free Time Management Course
• Free Certificate
• Lifetime Access

• Students
• Job seekers
• Teachers

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 3 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 4 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 4 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 3 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 2 Hours

Cost: 19 GBP

Discount: 95% Off for Laimoon Users!

Duration: Upto 1 Hour

• Perception
• Reasoning
• Learning
• Decision making
• Natural language processing.

• History of Artificial Intelligence
• What is Artificial Intelligence?
• Application of Artificial Intelligence
• Artificial Intelligence Intelligent Systems
• Problems in Artificial Intelligence
• Approaches used in Artificial Intelligence
• Tools used in Artificial Intelligence
• Different types of Artificial Intelligence Technology
• Agents and Environments in Artificial Intelligence
• Artificial Intelligence Expert Systems
• Artificial Intelligence Robotics
• What is strong and weak Artificial Intelligence?

• Business executives and managers who want to understand the potential of AI and how it can be leveraged to gain a competitive advantage in their industry.
• IT professionals who want to learn the fundamentals of AI and how it can be integrated into their projects.
• Data scientists and analysts who want to expand their knowledge and skills in AI and its subfields.
• Anyone who is interested in learning about AI and its impact on society. The course is designed for individuals with little or no prior knowledge of AI, but it can also serve as a refresher for those who have some familiarity with the topic.

• What is AI?
• Brief history of AI
• Different types of AI and their applications
• Key concepts and terminology

• Introduction to machine learning
• Supervised  unsupervised  and reinforcement learning.
• Classification and regression
• Overfitting and underfitting
• Model evaluation and selection

• Introduction to neural networks
• Structure and working of a neural network.
• Activation functions
• Convolutional neural networks (CNN) and their applications
• Recurrent neural networks (RNN) and their applications

• Introduction to NLP
• Tokenization  stemming  and lemmatisation.
• Part-of-speech tagging
• Named entity recognition.
• Sentiment analysis

• Emerging trends in AI
• AI and its impact on society
• Ethical considerations in AI development and use
• Bias and fairness in AI
• Explainable AI

Cost: 4900 USD

Duration: 5 Days

Cost: 18 GBP

Discount: 90% Off for Laimoon Users!

Duration: Upto 3 Hours

• Unlimited lifetime access
• Instructor-led distance learning
• Get trained by industry experts
• 24/7 student support system
• Learn at your own pace and leisure
• Effective training, written and designed by certified professionals

• Equip yourself with the essential skills, confidence and competence to assist you in your chosen industry.

• Learn the most in-demand skills, get certified and level up your career. This online training course is designed to help you reach your professional goals.

• Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV.

Cost: 13 GBP

Discount: 90% Off for Laimoon Users!

Duration: Upto 13 Hours

• Unlimited lifetime access
• Instructor-led distance learning
• Get trained by industry experts
• 24/7 student support system
• Learn at your own pace and leisure
• Effective training, written and designed by certified professionals

• Equip yourself with the essential skills, confidence and competence to assist you in your chosen industry.

• Learn the most in-demand skills, get certified and level up your career. This online training course is designed to help you reach your professional goals.

• Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV.

Cost: 13 GBP

Discount: 90% Off for Laimoon Users!

Duration: Upto 3 Hours

• Programming Basics
• Python Data Types
• Structures and conditional statements
• Python core packages
• Introduction to Jupyter Notebook
• Introduction to Numpy and Pandas
• Data filtering and selecting
• Find duplicates and treat missing values
• Concatenate and transform data

• Overview of Supervised and Unsupervised Machine Learning
• Linear Regression
• Clustering with K-means
• Naive Bayes Classification
• Introduction to Neural Networks

• Supervised Machine Learning algorithms
• K-Nearest Neighbors (KNN) concept and application
• Naive Bayes concept and application
• Logistic Regression concept and application
• Classification Trees concept and application
• Unsupervised Machine Learning algorithms
• Clustering with K-means concept and application
• Hierarchical Clustering concept and application

• Basic Statistics and Exploratory Analysis
• Descriptive summary statistics with Numpy
• Summarize continuous and categorical data
• Outlier analysis

• Advanced-Data Mugging
• Outlier Analysis
• Treating for missing values
• Normalization vs Standardization of data

• Setting up the project with ML workflow.
• Data Preprocessing and statistical exploration
• Building, Training, and evaluation of Machine Learning Model

• Analysis of the case study: Property Estimations
• Setting up the project with ML workflow
• Data Preprocessing and statistical exploration
• Choosing the Machine Learning Algorithm for this case
• Building, Training, and evaluation of Machine Learning Model

• Understand the principles and applications of Machine Learning
• Explore the utilization of Machine Learning through Python
• Analyze, manipulate, and visualize data using Python libraries
• Design Machine Learning algorithm
• Comprehend and analyze data structures and intricate logic
• Optimize predictive performance with multiple learning algorithms

• Our Machine Learning with Python course is designed based on real-world scenarios, formulating and evaluating practical requirements
• Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
• We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
• To enhance the learning experience of our students we provide organized group sessions and integrated training modules
• Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

Cost: 2835 AED

Discount: 60% Off for Laimoon Users!

Duration: 40 Hours

• Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant.
• Learn data cleaning, processing, wrangling and manipulation
• How to create resume and land your first job as a Data Scientist
• Learn Machine Learning and it's various practical applications
• Learn Data and File Management in R
• Learn the Tidyverse
• Data visualization (ggplot2)
• Full-stack data science development
• Automating dynamic report generation
• How to write complex R programs for practical industry scenarios
• Learn Plotting in R (graphs, charts, plots, histograms etc)
• Step by step practical knowledge of R programming language
• Building web apps and online, interactive dashboards with R Shiny
• Use R to clean, analyze, and visualize data
• Learn Operators, Vectors, Lists and their application
• Data extraction and web scraping
• Building custom data solutions
• Data science for business

Cost: 17 GBP

Discount: 90% Off for Laimoon Users!

Duration: Upto 29 Hours

• What is Machine Learning
• Applications of Machine Learning
• Machine Learning vs Artificial Intelligence
• Machine Learning Languages and platforms
• Machine Learning vs Statistical Modelling

• Popular Machine Learning Algorithms
• Clustering, Classification, and Regression
• Supervised vs Unsupervised Learning
• Application of Supervised Learning Algorithms
• Application of Unsupervised Learning Algorithms
• Overview of modeling Machine Learning Algorithm: Train, Evaluation, and Testing.
• How to choose Machine Learning Algorithm

• Simple Linear Regression: Theory, Implementing in Python (and R), Working on the use case
• Multiple Linear Regression: Theory, Implementing in Python (and R), Working on the use case
• K – Nearest Neighbors: Theory, Implementing in Python (and R), KNN advantages, Working on the use case
• Decision Trees: Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on the use case
• Random Forests: Theory, Implementing in Python (and R), Reliability of Random Forests, Working on the use case

• Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on the use case
• Support Vector Machines: Theory, Support vector machines with Python and R, Improving the performance with Kernels, Working on the use case
• Association Rules: Theory, Implementing in Python (and R), Working on the use case
• Model Evaluation: Overfitting & Underfitting
• Understanding Different Evaluation Models

• K – Means Clustering: Theory, Euclidean Distance method.
• K – Means hands-on with Python (and R)
• K – Means Advantages & Disadvantages
• Hierarchical Clustering: Theory
• Hierarchical Clustering with Python (and R)
• Hierarchical Advantages & Disadvantages

• Dimensionality Reduction: Feature Extraction & Selection
• Principal Component Analysis (PCA): Theory, Eigen Vectors
• PCA example with Python (and R) with use case
• Advantages of Dimensionality Reduction
• Application of Dimensionality Reduction with a case study
• Collaborative Filtering & Its Challenges

• Become familiar with Machine Learning concepts
• Develop a deep understanding of the fundamentals of Machine Learning and Statistical Modeling
• Incorporate Machine Learning into practice
• Familiarize with Supervised and Unsupervised Learning
• Employ the concepts of Machine Learning at the workplace

• Our Machine Learning course is designed based on real-world scenarios, formulating and evaluating practical requirements
• Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
• We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
• To enhance the learning experience of our students we provide organized group sessions and integrated training modules
• Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

Cost: 2835 AED

Discount: 60% Off for Laimoon Users!

Duration: 35 Hours

The program was carefully designed by our team with industry and academic expertise to ensure participants learn the foundational knowledge they need while engaging in real-world projects and challenges that help them attain the skills needed for today's industry job roles.

During the 12 weeks, you will: 

• Master fundamental concepts and the language of Machine Learning
• Learn how to best represent yourself to recruiters in the Machine Learning space
• Design advanced Machine Learning solutions
• Work in a team to solve a real-world, research-oriented challenge
• Become proficient with the foundational libraries for Data Science and Machine Learning in Python
• Discover state of the art models and technique under investigation in today's Machine Learning research community
• Gain the skills to become a sufficient self-learner and investigator in the field of Machine Learning
• Learn the best practices for Machine Learning in development and in research settings
• Be guided by AI instructors and engineers to learn from real-life practitioners
• Gain the soft skills to become a full-stack fit in a diverse Data Science team in the job market

Cost: 2967 USD

Duration: 12 Weeks

• Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
• How to create resume and land your first job as a Data Scientist
• How to write complex Python programs for practical industry scenarios
• Learn to use NumPy for Numerical Data
• Supervised vs Unsupervised Machine Learning
• Machine Learning Concepts and Algorithms
• Use Python to clean, analyze, and visualize data
• Statistics for Data Science
• Learn data cleaning, processing, wrangling and manipulation
• How to use Python for Data Science
• Learn Plotting in Python (graphs, charts, plots, histograms etc)
• Machine Learning and it's various practical applications
• Learn Regression, Classification, Clustering and Sci-kit learn
• K-Means Clustering
• Building Custom Data Solutions
• Probability and Hypothesis Testing

• This course is ideal for those who work in or aspire to work in the following professions:
• Data Scientist
• Data Analyst
• Software Developer
• Data Engineer
• Anyone who wants to learn Data Science & Machine Learning with Python.

• Accredited by CPD
• Conducted by industry experts
• Get Instant E-certificate
• Fully online, interactive course with Professional voice-over
• Developed by qualified professionals
• Self paced learning and laptop, tablet, smartphone friendly
• 24/7 Tutor Support

Cost: 18 GBP

Discount: 90% Off for Laimoon Users!

Duration: Upto 22 Hours