Laimoon.com

Artificial Intelligence(AI), Business and Future Work - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Wed, 24 Dec 2025 22:02:46 +04

Overview

The Artificial Intelligence (AI), Business, and the Future of Work training course is designed for professionals aiming to remain competitive in a rapidly evolving business environment. By leveraging AI technologies, organisations can improve operational efficiency and develop innovative business models. This course equips participants with up-to-date AI knowledge and practical skills, preparing them to drive digital transformation and lead their organisations confidently into the future of work.

This training programme explores the transformative role of Artificial Intelligence (AI) in modern business and its impact on the future of work. Participants will gain insights into how AI technologies are reshaping operations, decision-making, and organisational models across industries.

The course covers practical applications of AI, strategies for integrating AI into business processes, and the skills required to lead digital transformation initiatives. By the end of the programme, attendees will understand how to harness AI to drive innovation, improve efficiency, and adapt to the evolving workplace landscape.

Key Highlights

Real-world AI implementation strategies
Latest trends in AI and machine learning
AI’s impact on decision-making processes
Ethical considerations in AI deployments
Enhancing customer experience through AI

Cost: 4250 USD

Duration: 5 Days

Artificial Intelligence (AI) for Admins - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Wed, 24 Dec 2025 21:43:17 +04

Overview

AI training for administrators focuses on equipping admin professionals with the skills and knowledge to leverage AI technologies in their daily tasks, boosting efficiency, productivity, and overall job performance. This training often covers topics like understanding AI principles, using AI-powered tools, and navigating the ethical implications of AI.

This course introduces administrative professionals to the practical use of Artificial Intelligence (AI) in modern office environments. It focuses on how AI tools can streamline administrative tasks, improve efficiency, and support better decision-making. Participants will explore applications such as automation of routine processes, intelligent scheduling, document management, data handling, and AI-powered communication tools. By the end of the programme, attendees will understand how to confidently use AI to enhance productivity, accuracy, and value in administrative and support roles.

Cost: 4250 USD

Duration: 5 Days

Financial Analysis through Artificial Intelligence (AI) - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Tue, 23 Dec 2025 20:15:09 +04

Overview

AI technologies are revolutionizing the operations of financial institutions by providing deeper insights into market trends and customer behavior. By leveraging tools such as machine learning algorithms and deep learning networks, organisations can achieve more accurate financial forecasting and strengthen their capabilities in detecting and preventing fraud.

This programme explores how Artificial Intelligence (AI) is transforming financial analysis, enabling organisations to make faster, more accurate, and data-driven decisions. Participants will gain an understanding of AI techniques and tools used to analyse financial statements, forecast performance, assess risk, and uncover insights that traditional methods may overlook.

Key Areas

Introduction to AI concepts and their applications in finance
Using machine learning and predictive analytics for financial forecasting and trend analysis
Automating financial data processing, anomaly detection, and reporting
Enhancing risk assessment, credit analysis, and investment decision-making through AI models

Objectives

Implement various machine learning techniques, such as regression, classification, and clustering, to solve real-world financial problems.
Understand the fundamentals of AI and its applications in financial analysis
Learn how machine learning, deep learning, and predictive analytics can improve financial forecasting
Apply AI techniques to automate financial data processing and enhance reporting accuracy
Use AI-driven tools to detect anomalies, identify risks, and strengthen fraud prevention
Analyse market trends and consumer behaviour through AI-powered insights

Cost: 4250 USD

Duration: 5 Days

ISO/IEC 42001 Artificial Intelligence Management Systems - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Wed, 17 Dec 2025 20:09:24 +04

ISO/IEC 42001 is the world’s first international management system standard for artificial intelligence (AI). It provides a structured framework for establishing, implementing, maintaining, and continually improving an AI management system within an organisation. This course is designed to equip professionals with the practical skills and strategic understanding to apply ISO/IEC 42001 effectively.

Course Objectives

To understand the structure and purpose of ISO/IEC 42001
To gain insight into the development and evolution of AI governance standards
To explore the integration of ISO/IEC 42001 with existing management systems
To learn how to implement and audit an Artificial Intelligence Management System (AIMS)
To identify and mitigate risks associated with AI implementation
To ensure ethical, safe, and compliant use of AI within organisational contexts
To develop strategies that add value and enhance decision-making using ISO/IEC 42001

Cost: 4250 USD

Duration: 5 Days

ISO/IEC42001 Artificial Intelligence Management Systems - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Thu, 11 Dec 2025 20:56:36 +04

To understand the structure and purpose of ISO/IEC 42001
To gain insight into the development and evolution of AI governance standards
To explore the integration of ISO/IEC 42001 with existing management systems
To learn how to implement and audit an Artificial Intelligence Management System (AIMS)
To identify and mitigate risks associated with AI implementation
To ensure ethical, safe, and compliant use of AI within organisational contexts
To develop strategies that add value and enhance decision-making using ISO/IEC 42001

Cost: 4250 USD

Duration: 5 Days

Artificial Intelligence Management System - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Thu, 11 Dec 2025 20:51:34 +04

Introduction:

The course provides comprehensive guidance on implementing ISO/IEC 42001:2023, the international standard for Artificial Intelligence Management System (AIMS). Participants will gain practical insights into establishing, implementing, and maintaining an AIMS within their organisations to ensure responsible AI development and use

Objectives:

Understand the key principles and requirements of ISO/IEC 42001:2023.
Develop strategies for establishing and implementing an AIMS within their organisations.
Gain practical skills to identify, assess, and manage AI-related risks and opportunities.
Learn how to ensure compliance with legal, regulatory, and ethical standards governing AI technologies.
Explore best practices and case studies for successful AIMS implementation.

Cost: 4250 USD

Duration: 5 Days

AI Tools Practice for Non-Tech Staffs - GBA -Professional London Training Center , Australia, Germany, India, Netherlands, Turkey, UAE, United Kingdom, Dubai, Delhi, Mumbai, Sydney, London, Istanbul, Frankfurt, Munich, The Hague

Thu, 11 Dec 2025 20:19:35 +04

Course Overview:

This course equips non-technical staff with the knowledge and skills to effectively use AI tools in their daily work. The focus is on demystifying AI, exploring accessible AI technologies, and demonstrating practical applications to enhance productivity and decision-making. Participants will gain confidence in using AI-powered solutions for various business ;

The program emphasizes hands-on practice with AI-powered tools for tasks such as data analysis, automation, content creation, and decision support. Participants will learn how to interpret AI outputs, integrate AI solutions into workflows, and collaborate effectively with technical teams.

Additionally, the program highlights responsible and ethical use of AI, including data privacy considerations and organizational guidelines, enabling staff to adopt AI in a way that drives efficiency, innovation, and business value.

By the end of this course, participants will gain a solid understanding of how AI can support their work, improve efficiency, and help them make more informed decisions, all without needing advanced technical skills.

Cost: 4250 USD

Duration: 5 Days

Certification in Applied Generative AI - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Wed, 11 Jun 2025 10:07:49 +04

Overview:

The Certification in Applied GenerativeAI and Agentic Systems is a 40hour, handson training designed for professionals eager to master generative ai and Agentic Systems. Guided by industry experts, you’ll work with tools like LLMs, GANs, diffusion models, LangChain, OpenAI, Hugging Face, and Stable Diffusion.

This course blends practical projects—like chatbots, AI art, autonomous agents, and smart content tools—with ethical deployment and model deployment on cloud and edge environments. Participants earn a recognized career certification and lifetime access to program resource.

Importance of the Training Program

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.

Benefits of the Course

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.

Course Modules

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

Why Count on Learners Point?

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

EV Engineering and System Integration Certification

Overview:

The EV Engineering and System Integration Certification is a comprehensive training program designed for professionals seeking to build a career in the electric vehicle (EV) industry. This industry-focused course offers hands-on experience with advanced tools like Simulink, Ansys, Python, MATLAB, and Autodesk Fusion 360. Delivered by seasoned instructors with over 10 years of experience in the EV and technology sectors, this course ensures participants gain real-world insights and practical knowledge across diverse EV use cases.

Importance of the Course

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.

Benefits of Enrolling in the Training Program

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.

Course Modules

Module 1: Introduction to EV Systems & Architecture

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

Module 2: Hybrid & Electric Powertrain Components

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

Module 3: Vehicle Integration & Control Systems

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

Module 4: Verification, Validation & Testing in EV Development

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

Module 5: Electric Motors & Motor Control

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

Module 6: Battery Technology & Management Systems

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

Module 7: Power Electronics & Charging Infrastructure

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

Module 8: Embedded Systems & AI in EVs

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

Module 9: Thermal Management in EVs

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

Module 10: EV Manufacturing & Sustainability

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

Module 11: System-Level Optimization & Smart Charging

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

Module 12: Final Project & Industry Readiness

Capstone Project – Real-World EV Design or Simulation
Resume Building & Career Guidance
Final Presentations & Certification

Testimonials

Mona Al Qassim, Powertrain Integration Engineer

"The training was a game-changer for me. With the practical application of tools such as Ansys and Autodesk Fusion 360, I was able to understand complex EV architectures ;

Khaled Al Mansoori, EV Systems Engineer

“The EV Engineering and System Integration Certification provided me with invaluable knowledge and hands-on experience in electric ;

Cost: 3000 AED

Discount: 50% Off for Laimoon Users!

Duration: 3 Months

ISO 42001 Lead Auditor - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 16:58:29 +04

TRECCERT ISO/IEC 42001 Lead Auditor is an expert-level course developed to equip trainees with a practical understanding of the Artificial Intelligence Management System (AIMS) audit approach based on the requirements of the ISO/IEC 42001 and ISO 19011 standards.

The training course provides a comprehensive overview of the AIMS audit following the ISO 19011 guidelines for MS auditing and related concepts, processes, methods and techniques.

The ISO/IEC 42001 Lead Auditor training course is developed for professionals responsible for the audit and maintenance of the AIMS, for example: Information Security Specialists, Cybersecurity Specialists, Compliance Officers, External and/or Internal Auditors, Security Analysts.

Learning Outcomes:

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.

COURSE OUTLINE

1. Introduction to AIMS

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

2. ISO/IEC 42001 Requirements

Context of the Organization
Leadership
Planning
Support
Operation
Performance Evaluation
Improvement

3. AI Controls

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

4. Introduction to Audit

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

5. Managing an Audit Programme

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

ISO42001 Lead Implementer - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 16:55:08 +04

TRECCERT AI Management System ISO/IEC 42001 Lead Implementer is an expert-level course developed to equip trainees with a practical understanding of the AIMS implementation approach based on the requirements of the ISO/IEC 42001 standard.

The training course provides a comprehensive overview of the AIMS implementation based on the Plan-Do-Check-Act model and related concepts, processes, methods, and techniques.

Learning Objectives:

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.

COURSE OUTLINE

1. Introduction to AIMS

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

2. ISO/IEC 42001 Requirements

Context of the Organization
Leadership
Planning
Support
Operation
Performance Evaluation
Improvement

3. AI Controls

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

4. AIMS Initiation

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

5. Establishment Phase

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

6. Implementation and Operation Phase

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

7. Monitor and Review Phase

Monitor the AIMS
Conduct Internal Audits
Review the AIMS

8. Maintenance and Improvement Phase

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

Cost: 2000 USD

Duration: 5 Days

Python for Data Analysis - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:20:53 +04

In this course, you’ll learn to code with Python.

Python is a general-purpose programming language used for a variety of purposes, including web, software, and game development, artificial intelligence, machine learning, and data analysis.

The course begins with fundamental programming concepts, such as functions and statements. We then cover several of the Python libraries most relevant for data management and manipulation (, NumPy, Pandas, Seaborn, and Matplotlib).

You’ll also learn about extracting, transforming, and loading data (ETL) techniques and operations, as well as what is known as “data wrangling”.

Module 1: Introduction to Programming with Python
Getting Started with Python; Performing Operations with Complex Data Types; Working with “If” Statements, Loops, and Comprehensions; Defining, Configuring, and Invoking Functions; Leveraging Functions with Lambdas, Generators, Closures, and
Decorators

Module 2: Python for Data Science
Introduction to NumPy for Multi-dimensional Data; Advanced Operations with NumPy Arrays; Manipulating and Analysing Data in Pandas Dataframes; Data Wrangling with Pandas; Data
Visualisation Using Seaborn

Module 3: Operations with petl
Petl: Introduction; Basic Data Transformations; Advanced Extractions and Transformations

Module 4: Data Science Statistics
Using Python to Compute and Visualise Statistics; Applied Inferential Statistics

Cost: 1500 USD

Duration: 3 Days

ISO42001 Practitioner - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:11:12 +04

Validate your knowledge and expertise in artificial intelligence governance with the ISO/IEC 42001 Practitioner Certification.

Designed for professionals who wish to demonstrate their understanding of Artificial Intelligence Management Systems (AIMS), this certification attests to your proficiency in key concepts, principles, and compliance frameworks in alignment with ISO/IEC 42001 standards.

Establish yourself as a knowledgeable professional capable of contributing to the responsible management and ethical oversight of AI technologies, paving the way for trusted and effective AI implementation in your organisation.

Cost: 550 USD

Duration: 1 Day

Generative AI for Business Users - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:08:03 +04

A major milestone in business automation has been reached—generative AI. Despite its recency, it has already started having a significant impact on our lives. But, the rapid pace at which generative AI is growing can be overwhelming. And, there are so many facets to this field that it can be difficult to know how to use it effectively to improve the business.

This course is designed to demystify generative AI for business professionals, as well as to trace its power to actionable, real-world business goals. It will give you the essential knowledge of generative AI you'll need to elevate the organisation in these exciting course is primarily designed for business leaders, consultants, product and project managers, and other decision makers who are interested in unlocking new business opportunities and augmenting existing business processes using generative AI. It's also a great starting point for any business professionals who want to investigate generative AI solutions for their own individual tasks and workflows.

Cost: 550 USD

Duration: 1 Day

Certified Data Science Practitioner - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:02:02 +04

The Certified Data Science Practitioner™ (CDSP) is an industry-validated certification which helps professionals differentiate themselves from other job candidates by demonstrating their ability to put data science concepts into practice. Data can reveal insights and inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyse, understand, manipulate, and present data within an effective and repeatable process framework.

This certification validates candidates’ ability to use data science principles to address business issues, use multiple techniques to prepare and analyse data, evaluate datasets to extract valuable insights, and design a machine learning approach. In addition, it will validate skills to design, finalize, present, implement, and monitor a model to address issues regardless of business sector.

Cost: 1999 USD

Duration: 5 Days

Certified Ethical Emerging Technologist (CEET) - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore

Tue, 25 Mar 2025 18:14:04 +04

Course Overview:

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

Certified Artificial Intelligence (AI) Practitioner - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore

Tue, 25 Mar 2025 17:44:43 +04

Course Overview:

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

AI in Digital Marketing - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Fri, 17 Jan 2025 21:42:39 +04

Overview:

The AI in Digital Marketing course in Dubai is designed to help professionals master the use of Artificial Intelligence (AI) in modern marketing strategies. This 20-hour in-depth training explores how AI technologies, such as machine learning, NLP, and predictive analytics, can automate tasks, personalize campaigns, and analyze customer behavior for better results.

Why Choose Our AI in Digital Marketing Course?

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.

What You Will Learn in the AI in Digital Marketing Course?

This course offers practical insights into the power of Artificial Intelligence in marketing. Key modules include:

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.

Importance of AI in Digital Marketing

The AI in Digital Marketing course equips professionals with the skills to leverage AI technologies for data-driven marketing decisions. Learn to:

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.

Course Modules

Module 1: Introduction to AI in Digital Marketing (4 Hours)

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)

Module 2: AI in Content & SEO (4 Hours)

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)

Module 3: AI in Social Media & Advertising (4 Hours)

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

Module 4: AI in Email Marketing & Customer Experience (4 Hours)

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

Module 5: AI Tools & Platforms for Digital Marketers (4 Hours)

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

Module 6: Capstone Project & Certification (4 Hours)

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

Career Benefits of AI in Digital Marketing Training

Completing the AI in Digital Marketing course provides professionals with:

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.

Why Learner’s Point?

Industry-Recognised Certification: CPD-UK accredited program.
Expert Trainers: Learn from top industry professionals.
Flexible Learning Options: Classroom and online modes available.
Hands-On Learning: Practical projects and real-world case studies.
Proven Success: Thousands of professionals trained successfully.

Testimonials

Fatima Al Mansoori, Marketing Specialist

"The AI in Digital Marketing course at Learners Point Academy transformed my marketing approach. The hands-on training and real-world examples made complex AI concepts easy to grasp. A must-attend course for every marketer!"

Ahmed Khalifa, Digital Marketing Manager

"This course exceeded my expectations. The detailed focus on AI tools and strategies helped me implement automation and personalization in our campaigns effectively. Highly recommended!"

Take the next step in mastering AI in Digital Marketing! Enrol now with Learners Point and gain industry-relevant skills to lead the future of digital marketing.

Cost: 3000 AED

Discount: 60% Off for Laimoon Users!

Duration: 24 Hours

CATIA - TAYBA Educational Management , United Arab Emirates

Tue, 14 Jan 2025 15:36:00 +04

CATIA® is the world’s engineering and design leading software for product 3D CAD design excellence. It is used to design, simulate, analyze, and manufacture products in a variety of industries including aerospace, automotive, consumer goods, and industrial machinery, just to name a the advanced capabilities of Catia, a leading CAD software for complex and precise engineering designs. This course covers 3D modeling, surface design, and product simulation, equipping students with the skills to handle sophisticated design challenges in industries such as aerospace, automotive, and industrial machinery.
3D Modeling: Create precise 3D models using Catia’s robust parametric and non-parametric modeling tools.
Surface Design: Master surface design techniques for creating complex shapes and freeform surfaces, essential for automotive and aerospace industries.
Product Simulation: Perform detailed simulations to validate design performance and identify potential issues before manufacturing.
Industry Applications: Apply your skills to real-world scenarios in various industries, including aerospace, automotive, and industrial equipment design.

Cost: 2000 AED

Duration: Upto 40 Hours

Data Science Certification - Self Study - Anexas FZE , Online

Wed, 08 Jan 2025 13:34:59 +04

Introducing our Data Science course for Beginners: a 2-month, 55-hour program designed for non-programmers, data science beginners, and freshers. Gain a solid foundation in data science with topics like statistics, Python, EDA, visualization, and more. Complete over 25 industry-based projects and case studies to enhance your practical skills. Start your data science journey and unlock exciting career opportunities.

What you'll gain

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.

Key Benefits of Data Science for Beginners

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

Learning from the Best trainer

Amitabh Saxena, CEO of Anexas Europe has done some great work in the quality domain. He has an experience of more than 33 years. He is also the founder of Anexas and will be your trainer for the course. He has consulted Fortune 100 organizations including ADNOC, Dell, SABIC, Aramco, Ministry of Health, DP World, Alfuttaim Motors, EMC2, Bank Muscat, TATA Business services, Deloitte , TATA motors finance ltd, Steel authority of India, Indian railway , Colgate Palmolive , Novartis, Novozymes Denmark, HP, Tech Mahindra, Reliance, Bharat Petroleum, Maersk ,Cisco and the list goes on.

Cost: 525 AED

Duration: Upto 55 Hours

AI & Machine Learning - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Oman,Qatar,Saudi Arabia,United Arab Emirates,Kuwait

Fri, 03 Jan 2025 15:46:07 +04

AI & ML Course – Master Artificial Intelligence and Machine Learning Skills

Our AI & ML course provides an in-depth understanding of Artificial Intelligence and Machine Learning concepts and tools to help you succeed in the tech industry. Learn from industry experts with over a decade of experience in the Middle East and master tools like Python, Pandas, NumPy, Tableau, and more.

Why Enroll in Our AI & ML Course?

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

Key Learning Outcomes

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.

Course Modules

Module 1: Python Programming Fundamentals

Module: Introduction to Python

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

Module: Sequences and File Operations

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

Module: Functions and Object-Oriented Programming

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)

Module: Working with Modules and Handling Exceptions

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)

Module 2: Python for Data Science

Module: Array Manipulation using NumPy

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

Module: Introduction to Pandas

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

Module: Advanced Data Manipulation with Pandas

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

Module: Data Visualization with Matplotlib and Seaborn

Basic visualization
Mathematical Concepts
Hands-on

Module: Advanced Data Visualization

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

Module: Data Gathering and Web Scraping using Python

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

Module 3: Machine Learning Foundations

Module: Foundations of Machine Learning

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

Module: Supervised Learning

Regression
Classification
Feature Engineering

Module 4: Advanced Machine Learning Techniques

Ensemble Methods
Hyperparameter Tuning
Unsupervised Learning

Module 5: Time Series Analysis and Scalability

Time Series Analysis
Big Data Tools
Model Scalability

Module 6: Deep Learning and Real-World Implementations

Module: Deep Learning and NLP

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

Module: Ethics and Real-World Applications

Ethics in AI
Real-World Applications
Capstone Projects

Module 7: Introduction to Tableau for Data Science

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

Module 8: Visual Analytics and Data Insights with Tableau

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

Module 9: Capstone project

Why Learner’s Point?

At Learner’s Point, we are committed to your success by offering:

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.

Sat, 27 May 2023 16:40:08 +04

Python is a general-purpose language which means it is versatile and can be used to program many different types of functions. Because it is an interpreted language, it precludes the need for compiling code before execution and because it is a high-level programming language, Python is able to abstract details from code. In fact, Python focuses so much attention on abstraction that its code can be understood by most novice programmers.

Cost: 800 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 20 Hours

Python for Data Anaylsis - Oscar Education Group , UAE, Dubai, Bur Dubai, Deira, Al Qusais,United Arab Emirates

Sat, 27 May 2023 16:38:40 +04

Cost: 600 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 12 Hours

Artificial Intelligence Essentials - London Training For Excellence , Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Riyadh, Jeddah, Al Kuwait, Muscat, Manama, Kuwait City, Doha,Netherlands,United Arab Emirates,United Kingdom

Tue, 21 Mar 2023 15:57:37 +04

Overview
Artificial Intelligence (AI) is a branch of computer science that focuses on creating intelligent machines that can perform tasks that normally require human intelligence such as:

Perception
Reasoning
Learning
Decision making
Natural language processing.

AI can be applied in a wide range of fields including healthcare finance education transportation and entertainment. It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialised.

Objective

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?

Who Should Attend
The course on Artificial Intelligence outlined above is suitable for anyone who wants to gain a basic understanding of AI, including its subfields, applications, and ethical considerations. The course is especially useful for the following groups of individuals:

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.

Course Outlines
Day 1:Introduction to AI

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

Day 2: Machine Learning

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

Day 3:Neural Networks and Deep Learning

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

Day 4:Natural Language Processing

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

Day 5:Future of AI and Ethics

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

Data Science using Python - Aptech Computer Training , Dubai, Sharjah

Wed, 27 Oct 2021 17:04:54 +04

Course Overview:

Join the Data Science course at Aptech Computer Training, offered at our Dubai & Sharjah branches. This hands-on program is designed to provide essential skills in Python, Machine Learning, Data Wrangling, SQL, Data Visualization, and Power BI. Learners will gain the ability to collect, clean, analyze, and model data to uncover valuable business insights.

Ideal for aspiring analysts and professionals seeking to advance their careers in AI, data analysis, or business intelligence, this course offers real-world datasets, project-based learning, and practical case studies.

Upon successful completion, participants receive a KHDA-certified certificate, recognized across the UAE and beyond.

Who Can Enroll?

Students and Graduates
Working Professionals & Analysts
Career Switchers into Data & AI fields

Course Outcomes:

Analyze and visualize structured data
Build machine learning models using Python
Clean and transform data using SQL and Excel
Create professional dashboards in Power BI

Course Outline:

1. Python for Data Science:

Python Basics, OOPs, Functions, and File Handling
Data Handling with NumPy and Pandas
Data Preprocessing & Exploratory Data Analysis

2. Data Analysis & Visualization:

Excel for Analytics (PivotTables, Dashboards, Charts)
Visualization with Matplotlib, Seaborn, and Power BI
Basic Statistics & Probability

3. SQL for Data Wrangling:

SQL Queries, Joins, Views, and Aggregation
Subqueries, Stored Procedures, and Optimization

4. Machine Learning:

Supervised & Unsupervised Learning
Regression, Classification, Clustering Models
Model Evaluation and Optimization Techniques

5. Advanced Topics:

Hypothesis Testing, ANOVA, Chi-Square
Feature Engineering and Selection
Introduction to DAX in Power BI

Career Opportunities:

Data Analyst
Business Intelligence Specialist
Machine Learning Engineer
Data Scientist

Why Choose Us?

Industry-Relevant Tools: Learn with Python, SQL, Power BI, and Excel
Expert Trainers: Learn from professionals with real-world experience
KHDA-Certified Certificate: Boost your global employability
Flexible Learning: Choose between online or in-person training

Cost: 3500 AED

Duration: Upto 3 Months

Machine Learning using Python - Aptech Computer Training , Dubai,Sharjah

Wed, 27 Oct 2021 16:20:04 +04

Module 1: Introduction to Machine Learning
Module 2: Recap of Python
Module 3:Machine learning libraries of Python
Module 4: Data Pre-processing and Visualization
Module 5: Supervised Machine learning - Regression
Module 6: Supervised Machine learning - Classification
Module 7: Tree based and ensemble learning
Module 8: Unsupervised learning
Module 9: Host machine learning model on web
Projects

Cost: 3750 AED

Duration: Upto 30 Hours

Machine Learning with Python - Learners Point Training Institute , UAE, Dubai,Dubai

Sat, 23 Oct 2021 13:10:15 +04

OVERVIEW: Machine Learning is a method of data analysis that automates analytical model building. Machine Learning with Python course introduces the fundamental concepts and techniques of Machine Learning using a popular computer programming language, Python, that is used to develop websites, build software, and automate tasks. This course explores the general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

CAREER OPPORTUNITIES:

Market Trends: Machine Learning has emerged to be the most in-demand technical skill globally in recent years. The annual growth rate of Machine Learning jobs is estimated to be over 40% during the next six years, which represents a market value of almost $31 billion by 2024. Machine Learning job trends are set to impact every industry, creating demand for experts in this field, hence the valuable knowledge of Python combined with Machine Learning provides an extra edge to the professionals.

Salary Trends: Machine Learning jobs are a great choice for a high-paying career that will remain in demand for decades to come. In Dubai, United Arab Emirates (UAE), the median gross salary for a Machine Learning Engineer is AED 315,790 annually, ranking as one of the highest paying jobs in the UAE.

Demand and Opportunities: Machine Learning has proliferated, with expertise in this field ranking as the most in-demand technical skill. In a recent report by Research and Markets, the global Machine Learning market is predicted to grow from $ billion in 2017 to $ billion by 2022. These statistics are evidence of the potential growth of AI and Machine Learning jobs in the global job market.

COURSE OUTLINE:

Python for Machine Learning

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

Introduction to Machine Learning

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

Machine Learning Algorithm

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 for Machine Learning

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

Data Processing for Machine Learning

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

Building and Learning Machine Learning Model

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

Hand on Case Study: Property Estimation with ML

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

KEY TAKEAWAYS:

After completing the Machine Learning with Python course, participants will be able to:

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

ACCREDITATION:

Our Machine Learning with Python course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As one of the top providers of Machine Learning with Python courses, we have extensive experience and comprehensive knowledge in the ;

The following are the key benefits offered by our Machine Learning with Python course:

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

Machine Learning Foundation - Learners Point Training Institute , UAE, Dubai,Dubai,Bahrain,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Tue, 07 Sep 2021 17:51:42 +04

OVERVIEW: Machine Learning is a method of getting computers to act independently without being explicitly programmed. The Machine Learning course in Dubai also covers topics of supervised and unsupervised learning, as well as the best practices in Machine Learning (bias/variation theory; the process of innovation in machine learning and artificial intelligence).

CAREER OPPORTUNITIES:

Market Trends: Technological advancements and the increase in data generation have led to the expansion of the Machine Learning (ML) market. Market analysts anticipate a market growth of ML to reach $ billion by 2022, representing a year–over–year increase. Job opportunities for ML professionals in Dubai are set to expand as Machine Learning job trends impact every industry.

Salary Trends: Machine Learning jobs are among the highest paying in the world today, with salaries for Machine Learning Engineers increasing by in 2019. Due to the high demand for Machine Learning Dubai jobs, the compensation and benefits for the experts in this field have been elevated by manifolds. Machine Learning Engineers in the UAE with less than 3 years of experience earn an average salary of AED 221,314 annually.

Demand and Opportunities: Machine Learning expertise has emerged as the most sought–after technical skill in Artificial Intelligence (AI) jobs. ML jobs are expected to be valued at almost $31 billion by 2024 with an annual growth rate of more than 40%. In the past 4 years, ML jobs have grown by almost 75%, boosting the demand for professionals with Machine Learning expertise.

COURSE OUTLINE:

Machine Learning Introduction

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

Machine Learning Algorithm

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

Supervised Learning I

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

Supervised Learning II

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

Unsupervised Learning II

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

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

KEY TAKEAWAYS:

After completing our Machine Learning Foundation course in Dubai will enable a candidate to:

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

ACCREDITATION:

Our Machine Learning Foundation course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

Being the leading Machine Learning course provider in Dubai, we have substantial experience in teaching relevant skills and knowledge.
Our Machine Learning course offers the following advantages:

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

Artificial Intelligence Expert - Learners Point Training Institute , UAE, Dubai,Dubai,Bahrain,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates

Sun, 19 May 2019 10:48:48 +04

OVERVIEW: Artificial Intelligence (AI) is a broad field of computer science that involves developing intelligent machines that can perform tasks that traditionally require human expertise. The Artificial Intelligence Expert course introduces professionals to the fundamental and core concepts of AI.
knowledge in the Artificial Intelligence domain is recommended.

CAREER OPPORTUNITIES:

Market Trends: Artificial Intelligence is revolutionizing the innovative market and is taking over various industries. In 2020, the global market of Artificial Intelligence was valued at USD billion and is projected to grow at a CAGR of from 2021 to 2028. The demand for qualified AI professionals has already surpassed that of Data Scientists, and this trend is expected to continue for the foreseeable future.

Salary Trends: The AI job market is growing at an astounding rate, making it a very lucrative career path. The AI jobs are not just expansive but also offer attractive packages. As reported by the Economic Research Institute, the average salary of an Artificial Intelligence Engineer ranges between AED 229,355 and AED 406,447 annually while the median gross salary is estimated to be AED 325,600 per annum.

Demand and Opportunities: Artificial Intelligence is the fastest-growing field in the world because of the demand for smarter system programs. The Insights reveal that open AI jobs are expected to increase at a CAGR of to reach a total of in 2023. LinkedIn reported a 190% increase in the skills needed for AI-based jobs from 2015 to 2017, indicating the enormous rise in demand for expertise in AI.

COURSE OUTLINE:

Artificial Intelligence Foundation

Introduction to Artificial Intelligence (AI)
AI Data Strategy
AI Ethics, Issues and Concerns
AI Challenges
Use Cases, and Adaption

Machine Learning Foundation

Data Science and ML Introduction
Mathematics for ML
Learning Methods
Popular ML Algorithms
Building Classification Models
Building Regression Models
Beyond Machine Learning

TensorFlow platform

Tensorflow Introduction
Tensorflow Basic Concepts
Installation and Basic Operations In TF
TF Eager Mode
Tensorflow – Keras

Core Learning Algorithms

Core Learning Algorithms Introduction
Regression with Tensorflow
Classification with Tensorflow

Neural Networks

Structure of Neural Networks
Neural Network – Core Concepts
Feed Forward Algorithm
Backpropagation
Building Neural Network from scratch using Numpy

Implementing Deep Natural Network

Introduction to Neural Networks with
Simple Deep Learning Model in Keras ()
Building Neural Network
Model in Tf for Mnist Dataset

Deep Computer Vision – Convolutional and Neural Network

Convolutional Neural Networks (CNNs) Introduction Cnnswith Keras
Transfer Learning In CNN, Style Transfer
Flowers Dataset With
Examining X – Ray With CNN Model

Recurrent Neural Network

RNN Introduction
Sequences with RNNs
Long Short – Term
Memory Networks (LSTM RNNs) and Gru
Examples Of RNN Applications

Natural Language Processing

Natural Language Processing Introduction
NLP With RNNs
Creating Model
Transformers and BERT
State of art NLP and Projects

Reinforcement Learning

Markov Decision Process
Fundamental Equations in RL
Model-Based Method
Dynamic Programming Model Free Methods

Deep Reinforcement Learning

Architectures Of Deep Q Learning
Deep Q Learning
Policy Gradient Methods

Actor-Critic Methods

General Adversarial Network
GAN Introduction
Core Concepts Of GAN
Building GAN Model With Tensorflow , GAN Applications
Deploying Deep Learning Methods in the Cloud
Amazon Web Services (AWS)
Deploying Deep Learning Models Using AWS Sagemaker

KEY TAKEAWAYS:

After completing the Artificial Intelligence Expert course, participants will be able to:

Understand the foundational concepts of Artificial Intelligence (AI)
Integrate Machine Learning and Artificial Intelligence into the business
Utilize the basic concepts of AI when implementing solutions that involve problem–solving, logic, inference, perception, knowledge representation, and learning
Possess expertise in AI language expert systems or data mining tools
Implement the scientific method for Machine Learning models

ACCREDITATION:

Our Artificial Intelligence Expert course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

Being one of the top providers of Artificial Intelligence Expert courses, we have substantial experience and profound knowledge in the field.
Our Artificial Intelligence Expert course provides the following advantages:

Our Artificial Intelligence Expert 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

Student Reviews

Arshad Hammadi, Solutions Architect –
“I am thankful to our artificial intelligence course Trainer for developing new skills at ease. My learning journey with him was outstanding. Learners Point provides us with the best-in-class labs and course materials. If you are looking to upskill, then you must choose Learners Point Academy in Dubai.”

Evelyn Jackson –
“Choosing Learners Point for Artificial Intelligence was truly value for money. The session was high-quality live and interactive. Our trainer explained each topic with real-life examples. Thank you for an amazing experience, Learners Point!.”

Cost: 2835 AED

Discount: 60% Off for Laimoon Users!

Duration: 54 Hours

Machine Learning - Al Manal Training Center , United Arab Emirates, Abu Dhabi,Abu Dhabi

Tue, 12 Mar 2019 20:01:25 +04

Machine Learning Training:

Machine learning! It’s a branch of computer science. It’s one of the most learnt courses today as the opportunities
are abundant. If you want to learn Machine learning course in Abu Dhabi, then reach Al Manal Training ;
As new technologies evolved, machine learning was altered greatly and our Machine learning classes in Abu Dhabi
will give you a clear understanding.

Below are some of the topics that we will discuss in our machine learning training classes at our institute:

Machine Learning
Data Preprocessing
Introduction to Supervised Learning
Simple and Multiple Linear Regression
Polynomial Regrssion

Linear Methods for Classification
Logistic Regression
K-Nearest Neighbours
Support Vector Machines
Kernel SVM
Naive Bayes
Decision Tree
Random Forest

Introduction to Unsupervised Learning
Cluster Analysis
K Means Clustering

Reinforcement Learning

Natural Language Processing

Deep Learning
Artificial Neural Networks

Dimensionality Reduction

Model Selection Procedures

Cost: 3500 AED

Duration: Upto 30 Hours