Laimoon.comhttps://courses.laimoon.com/sitemap/rss Courses in Dubai, Abu Dhabi, Sharjah Diplomas, Degrees & Doctorates - Laimoon Course Guide en-us <![CDATA[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 ]]>https://courses.laimoon.com/course/certification-in-applied-generative-ai-learners-point-training-institute/online 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
Testimonials

Faheema Sheikh, AI Engineer

“This certification truly bridges the gap between theory and real-world AI application. The hands-on projects with LangChain and Stable Diffusion gave me the confidence to build intelligent systems from scratch. The trainers’ expertise and industry insights were to the ;

Abrar Akram, Software Developer

"I was initially skeptical, but this course exceeded expectations. The deep dive into LLMs, prompt engineering, and multi-agent orchestration helped me modernize my workflows. It's a must-do for developers looking to stay ahead in ;

Cost: 3500 AED

Duration: 40 Hours

]]> Wed, 11 Jun 2025 10:07:49 +04 <![CDATA[Artificial Intelligence in Banking - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-in-banking-lct-international/online Course Introduction:
This course offers a detailed introduction to the transformative role of artificial intelligence in the banking sector. Participants will explore AI applications such as customer service chatbots, predictive analytics, fraud detection, and risk assessment.
The course covers the ethical and regulatory considerations of AI adoption, as well as practical insights into implementing AI solutions to improve customer experience and operational efficiency. By the end of the course, attendees will have a solid understanding of how to harness AI technologies to drive innovation and competitive advantage in the banking industry.

Course Outcomes:
Gain a foundational understanding of artificial intelligence and its applications in the banking industry
Explore the benefits and challenges associated with AI implementation in banking
Learn how to enhance customer experience using AI-driven solutions
Understand the role of AI in risk management and compliance
Discover how AI can streamline banking operations and improve efficiency
Identify emerging trends and future opportunities for AI in banking

Who Should Attend:
Product managers in the banking industry
Business analysts involved in product development
Project managers overseeing banking product life cycles
Professionals looking to improve market research skills
Stakeholder collaboration coordinators

Course Topics:
Understanding the Basics of AI in Banking

Overview of Artificial Intelligence and Machine Learning
Applications of AI in Banking Industry
Benefits and Challenges of Implementing AI in Banking
Regulatory and Ethical Considerations in AI Adoption


Enhancing Customer Experience with AI

Personalized Customer Recommendations and Offerings
Chatbots and Virtual Assistants for Customer Support
Predictive Analytics for Customer Behaviour Analysis
AI-powered Fraud Detection and Prevention Systems


Utilizing AI for Risk Management and Compliance

AI-based Credit Scoring and Risk Assessment Models
Automated Compliance Monitoring and Reporting
Anti-Money Laundering (AML) and Know Your Customer (KYC) Processes
AI-driven Regulatory Compliance Solutions


Streamlining Banking Operations with AI

Robotic Process Automation (RPA) in Banking Operations
AI-powered Workflow Automation and Optimization
Predictive Maintenance for Banking Infrastructure
Optimization of Loan Processing and Underwriting with AI


Exploring Future Frontiers of AI in Banking

Emerging Technologies Shaping the Future of Banking AI
Ethical AI and Responsible AI Adoption in Banking
Talent and Skills Development for AI in Banking Industry
Overcoming Challenges and Ensuring Successful AI Implementation in Banking

Cost: 4250 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:14 +04 <![CDATA[Artificial Intelligence in Sales & Marketing - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-in-sales-marketing-lct-international/online Course Introduction:
This course provides sales and marketing professionals with the tools to harness AI for customer insights, lead generation, and campaign optimization. Participants will learn to use AI for personalizing customer experiences, improving conversion rates, and forecasting sales trends. By integrating AI into sales and marketing strategies, attendees will enhance their competitive edge and drive business growth.

Course Outcomes:
Use AI for advanced customer segmentation and targeting.
Optimize marketing campaigns using AI analytics.
Leverage AI for sales forecasting and pipeline management.
Enhance customer engagement with AI-powered tools.
Drive innovation in sales and marketing strategies.

Who Should Attend:
This course has been designed for professionals seeking to harness AI to improve and transform sales and marketing activity and analysis to improve revenue outcomes across organsations. Past delegates have included:
\n
Sales Managers
Marketing Executives
Business Development Professionals
Customer Experience Managers
Digital Marketing Specialists

Course Topics:
Introduction to Artificial Intelligence

History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making

AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance

Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI for Marketing Optimization

AI tools for customer segmentation and targeting
Enhancing campaign performance with AI analytics
Personalizing customer interactions using AI
Real-world applications of AI in marketing


AI in Sales Strategy

Predictive sales forecasting usin

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:14 +04 <![CDATA[Leading AI Transformation in Organisations - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/leading-ai-transformation-in-organisations-lct-international/online Course Introduction:
This course is designed for managers seeking to integrate artificial intelligence into decision-making processes, helping them harness data-driven insights to optimise performance, productivity, and strategic planning.

Course Outcomes:
Develop a comprehensive strategy for AI integration
Build an AI-ready organisational culture
Manage the complexities of AI adoption and scaling
Foster innovation through ethical and sustainable AI practices

Who Should Attend:
Executives, directors, and senior managers
Professionals responsible for digital transformation initiatives
Leaders in charge of AI strategy and implementation

Course Topics:
The Role of AI in Business and Management


How AI transforms decision-making processes
Key applications of AI in management
Ethical considerations in AI deployment
Case studies: AI successes in business environments


Building an AI-Ready Organisation


Creating a culture of innovation and adaptability
Training and upskilling teams for AI transformation
Building cross-functional AI teams
Gaining stakeholder buy-in for AI initiatives


Integrating AI into Decision-Making


Identifying decision areas where AI adds value
Aligning AI capabilities with business goals
Overcoming organisational resistance to AI adoption
Managing change and upskilling teams for AI integration


Scaling and Sustaining AI Initiatives


Planning and executing organisation-wide AI projects
Monitoring progress and refining strategies
Establishing governance for AI sustainability
Measuring ROI and long-term impact


The Future of AI in Leadership


Exploring advanced applications of AI for competitive advantage
Anticipating industry-specific AI disruptions
Integrating AI with other emerging technologies
Preparing leaders for the next wave of AI innovation

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:14 +04 <![CDATA[AI Essentials for Professionals - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/ai-essentials-for-professionals-lct-international/online Course Introduction:
This course equips professionals with foundational knowledge of artificial intelligence (AI), exploring its transformative impact across industries and practical strategies for leveraging AI within organisations. Participants will gain hands-on insights into AI applications and ethical considerations.

Course Outcomes:
Understand the core concepts and applications of AI
Evaluate opportunities and challenges in AI adoption
Identify ethical considerations and data privacy issues
Develop an action plan for integrating AI in organisational contexts

Who Should Attend:
Professionals seeking an introduction to AI concepts
Team leaders and mid-level managers in diverse industries
Decision-makers interested in exploring AI implementation

Course Topics:
Understanding Artificial Intelligence

AI fundamentals and types (narrow AI, general AI, machine learning)
Historical development and modern-day applications
Common misconceptions about AI
Ethical and societal implications


AI in Business and Industry

Industry-specific AI use cases
AI-driven decision-making and automation
Enhancing customer experiences with AI
Case studies of successful AI implementations


Tools and Techniques for AI Adoption

Overview of AI tools and platforms
AI technologies: NLP, computer vision, robotics
Introduction to machine learning algorithms
Hands-on exercises using AI tools


Challenges in AI Implementation

Common obstacles to AI adoption
Addressing bias in AI systems
Ensuring data security and compliance
Creating a change management plan for AI projects


Strategic AI Roadmap

Assessing readiness for AI integration
Designing an AI strategy aligned with organisational goals
Building internal AI capabilities
Future trends in AI: Whats next?

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[Artificial Intelligence in Contract Management - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-in-contract-management-lct-international/online Course Introduction:
This course equips professionals with the skills to manage contracts efficiently using AI tools. Participants will learn to streamline contract drafting, improve compliance monitoring, and leverage AI for risk mitigation. By enhancing contract lifecycle management with AI, attendees will drive operational efficiency, reduce legal risks, and build stronger partnerships with stakeholders.

Course Outcomes:
Automate contract lifecycle management with AI.
Ensure compliance with legal and regulatory standards.
Use AI for contract risk detection and mitigation.
Improve negotiation outcomes with AI insights.
Enhance transparency in contract administration.

Who Should Attend:
This course has been designed for professionals seeking to use AI to improve and transform contract management to improve contract and risk mangement practices across organsations. Past delegates have included:
\n
Contract Managers
Legal Professionals
Procurement Officers
Compliance Managers
Project Managers

Course Topics:
Introduction to Artificial Intelligence


History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Global trends and applications


AI in Decision-Making


AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance


Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI in Contract Creation and Analysis


Automating contract drafting and review
AI for analyzing legal language and obligations
Reducing errors and omissions with AI
AI tools for negotiation support


AI in Contract Performance Monitoring


Tracking contract milestones and compliance
AI for identifying deviations and risks
Enhancing transparency with real-time data
Case studies of AI in contract lifecycle management

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[Artificial Intelligence for Risk Management - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-risk-management-lct-international/online Course Introduction:
This course equips risk management professionals to leverage AI for identifying, assessing, and mitigating risks. Participants will learn to apply predictive analytics, enhance compliance, and reduce vulnerabilities in financial, operational, and cybersecurity domains. Through case studies and practical insights, attendees will leave with actionable strategies to build resilient, AI-driven risk management frameworks that enhance decision-making and safeguard organizational performance.

Course Outcomes:
Utilize AI for real-time risk detection.
Apply predictive analytics for proactive risk management.
Mitigate risks using AI-driven insights.
Enhance compliance and reduce regulatory risks.
Build resilient risk management systems.

Who Should Attend:
This course has been designed for executives, managers, and leaders looking to use AI to enhance organisational risk management. Past delegates have included:
\n
Business Development Executives and Managers
Financial and Operational Managers
Risk Management Executives and Managers
Compliance Managers
Cybersecurity Managers

Course Topics:
Introduction to Artificial Intelligence

History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making

AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance

Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI in Financial Risk Management

Predicting financial risks with AI
Fraud detection using machine learning
Credit risk evaluation with AI tools
Enhancing audit processes with AI


AI in Operational and Cyber Risk Management

AI for detecting operational inefficiencies
Enhancing cybersecurity with AI
Risk assessment models powered by AI
Scenario planning using AI simulation

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[Artificial Intelligence for Financial Services - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-financial-services-lct-international/online Course Introduction:
This course focuses on leveraging AI to transform financial services through enhanced customer insights, automated processes, and optimized decision-making. Participants will learn to improve fraud detection, personalize customer experiences, and enhance investment strategies using AI tools. By the end of the program, attendees will possess the knowledge to innovate financial products and services while maintaining compliance and operational efficiency in a competitive landscape.

Course Outcomes:
Improve customer insights with AI.
Automate financial processes for efficiency.
Optimize investment strategies using AI models.
Enhance fraud detection systems.
Drive innovation in financial products and services.

Who Should Attend:
This course has been designed for financial professionals across organisations seeking to utilise AI to improve and transform finance functions to optimise customer experiences and data analysis. Past delegates have included:
\n
Banking Analysts and Executives
Financial Consultants Advisors
Financil Controllers
Cost Accountants
Financial Risk Analysts
Accounting and Audit Executives and Managers

Course Topics:
Introduction to Artificial Intelligence


History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making


AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance


Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI in Customer Experience for Finance


Personalizing customer experiences with AI
Predictive analytics for customer needs
Chatbots and virtual assistants in finance
Enhancing loyalty programs with AI insights


AI in Investment and Wealth Management


Portfolio optimization using AI models
Risk-adjusted returns through AI insights
Market trend analysis with AI tools
AI for automated investment advisory services

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[Artificial Intelligence for Procurement - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-procurement-lct-international/online Course Introduction:
This course helps procurement professionals leverage AI to streamline supplier selection, optimize sourcing, and reduce costs. Participants will learn to utilize AI for supplier risk assessment, contract negotiations, and process automation. By adopting AI tools and techniques, attendees will improve procurement efficiency, enhance supplier relationships, and ensure compliance with procurement regulations, driving sustainable value across their organizations.

Course Outcomes:
Automate procurement processes with AI.
Assess supplier risks and improve decision-making.
Optimize sourcing strategies for cost and value.
Enhance compliance with procurement policies.
Foster stronger supplier partnerships using AI tools.

Who Should Attend:
This course has been designed for professionals seeking to utilise AI to improve and transform procurement functions to optimise operational and financial efficiency across organsations. Past delegates have included:
\n
Procurement Managers
Supply Chain Professionals
Vendor Relationship Managers
Purchasing Officers
Strategic Sourcing Executives

Course Topics:
Introduction to Artificial Intelligence


History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Global trends and applications


AI in Decision-Making


AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance


Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI for Procurement Optimization


Using AI for supplier selection and evaluation
Automating repetitive procurement tasks
AI tools for dynamic pricing and cost analysis
Real-world examples of AI in procurement


Supplier Risk Management with AI


AI for predictive risk assessment
Monitoring supplier performance with AI
Identifying supply chain disruptions using AI
Enhancing compliance and contract adherence

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[AI-Driven Decision-Making for Managers - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/ai-driven-decision-making-for-managers-lct-international/online Course Introduction:
This course is designed for managers seeking to integrate artificial intelligence into decision-making processes, helping them harness data-driven insights to optimise performance, productivity, and strategic planning.

Course Outcomes:
Recognise AIs value in enhancing decision-making processes
Identify and interpret AI-generated insights for actionable strategies
Build organisational readiness for AI adoption
Develop frameworks to balance human judgment with AI recommendations

Who Should Attend:
Mid-level and senior managers across industries
Decision-makers aiming to incorporate AI insights into business processes
Professionals overseeing data and AI implementation teams

Course Topics:
The Role of AI in Business and Management

How AI transforms decision-making processes
Key applications of AI in management
Ethical considerations in AI deployment
Case studies: AI successes in business environments


AI Tools for Managers

Overview of tools for decision-making support
Predictive analytics and forecasting platforms
Interpreting AI-generated insights effectively
Choosing the right tools for specific management needs


Integrating AI into Decision-Making

Identifying decision areas where AI adds value
Aligning AI capabilities with business goals
Overcoming organisational resistance to AI adoption
Managing change and upskilling teams for AI integration


Managing AI-Related Risks

Understanding biases and limitations in AI systems
Ensuring data integrity and security
Developing mitigation strategies for AI-driven decisions
Balancing regulatory compliance with innovation


The Future of AI in Management

Trends in AI-driven decision-making
Emerging tools and platforms for managers
Preparing teams for AI-enhanced roles
Opportunities and challenges in AIs evolving landscape

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[Artificial Intelligence for Digital Transformation - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-digital-transformation-lct-international/online Course Introduction:
This course provides leaders with the expertise to harness AI as a cornerstone of digital transformation. Participants will explore how AI enhances innovation, streamlines operations, and drives organizational change. By learning to integrate AI into workflows and build a culture of technological adaptation, attendees will be equipped to lead transformation initiatives that deliver measurable business outcomes and future-proof their organizations.

Course Outcomes:
Drive digital transformation through AI.
Improve operational processes with AI automation.
Foster a culture of innovation using AI.
Align AI initiatives with business goals.
Enhance cross-functional collaboration with AI.

Who Should Attend:
This course has been designed for executives, managers, and leaders across industries seeking to leverage AI as a conerstone of organisational transformation. Past delegates have included:
\n
Business Development Executives and Managers
Financial and Operational Managers
Project Managers
IT Executives and Managers

Course Topics:
Introduction to Artificial Intelligence

History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making

AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance

Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI-Powered Digital Innovation

Leveraging AI for product innovation
Transforming customer experiences with AI
Exploring AI-powered platforms and tools
Real-world AI-driven innovation case studies


AI in Process Automation

Automating workflows with AI
Enhancing operational efficiency
Cost optimization through AI solutions
Scaling AI implementations across departments

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:13 +04 <![CDATA[Advanced AI Implementation and Innovation - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/advanced-ai-implementation-and-innovation-lct-international/online Course Introduction:
This advanced course delves into AI implementation strategies, equipping professionals with practical knowledge and techniques to deploy AI solutions effectively in their organisations.

Course Outcomes:
Design and execute AI strategies for business growth
Evaluate tools, platforms, and AI vendors
Lead cross-functional teams in implementing AI solutions
Monitor and optimise AI systems for continuous improvement

Who Should Attend:
Senior managers, C-suite executives, and technical leaders
Professionals with a basic understanding of AI
Organisations exploring strategic AI adoption

Course Topics:
Strategic AI Deployment

Identifying AI opportunities in operations
AI integration with existing systems
Building an AI-centric organisational culture
Case studies: Leading AI-driven transformations


AI Implementation Frameworks

Building a business case for AI projects
Agile methodologies for AI deployment
Governance structures for AI implementation
Vendor selection and partnerships


Data Management for AI Success

Ensuring data readiness for AI systems
Building data pipelines and repositories
Managing large datasets for AI training
Ensuring quality and integrity in AI models


Operationalising AI

Launching AI initiatives across departments
Monitoring AI systems and KPIs
Scaling AI capabilities organisation-wide
Troubleshooting common AI implementation issues


Continuous Innovation with AI

Measuring ROI from AI initiatives
Encouraging experimentation and iteration
Staying ahead in AI trends and innovation
Preparing for the future of work with AI

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:12 +04 <![CDATA[Artificial Intelligence for Manufacturing and Supply Chain - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-manufacturing-and-supply-chain-lct-international/online Course Introduction:
This course empowers manufacturing and supply chain professionals to optimize operations with AI. Participants will learn to implement AI-driven predictive maintenance, quality control, and demand forecasting while enhancing supply chain visibility and efficiency. By integrating AI tools into workflows, attendees will be prepared to reduce costs, improve productivity, and drive agility.

Course Outcomes:
Optimize manufacturing processes using AI.
Enhance supply chain visibility and efficiency.
Improve inventory management with AI.
Leverage predictive analytics for demand forecasting.
Implement AI-driven quality control systems.

Who Should Attend:
This course has been designed for executives and managers looking to harness AI to improve and transform supply chain and logistical functions to optimise operational efficiency across organsations. Past delegates have included:
\n
Supply Chain Executives and Managers
Operations Managers
Logistics Professionals
Procuement Specialists

Course Topics:
Introduction to Artificial Intelligence


History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making


AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance


Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI in Manufacturing


Predictive maintenance using AI
AI-driven quality control
Streamlining production with AI automation
Reducing waste through AI insights


AI in Supply Chain Management


AI for demand forecasting
Enhancing inventory management
Improving logistics with AI tools
Case studies: Successful AI implementation in supply chains

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:12 +04 <![CDATA[Artificial Intelligence in Project Management - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-in-project-management-lct-international/online Course Introduction:
This course empowers project managers to use AI for enhanced planning, monitoring, and execution. Participants will learn to leverage AI for predictive scheduling, resource allocation, and risk management. By the end of the program, attendees will be able to drive project efficiency, reduce costs, and ensure successful project delivery using AI-driven insights and automation.

Course Outcomes:
Utilize AI for advanced project planning.
Predict and mitigate project risks with AI.
Optimize resource allocation for efficiency.
Enhance decision-making in project execution.
Improve project monitoring with AI tools.

Who Should Attend:
This course has been designed for professionals seeking to leverage AI to improve and transform project management outcomes across organsations. Past delegates have included:
\n
Project Analysts and Managers
Programme Consultants and Managers
Operations Executives and Managemrs
PMO Executives

Course Topics:
Introduction to Artificial Intelligence


History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Global trends and applications


AI in Decision-Making


AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance


Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI for Project Planning and Scheduling


AI tools for advanced project scheduling
Predictive analytics for task prioritization
Resource allocation optimization using AI
Scenario modeling for project forecasting


AI for Monitoring and Execution


AI for tracking project milestones and KPIs
Automating status reporting with AI tools
Identifying and mitigating risks in real time
Case studies: AI in successful project execution

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:12 +04 <![CDATA[Artificial Intelligence for Public Sector Leaders - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-public-sector-leaders-lct-international/online Course Introduction:
This course empowers public sector professionals to harness AI for governance, public service improvement, and policy-making. Participants will learn to use AI to enhance citizen engagement, improve service delivery, and implement data-driven decision-making. By addressing ethical and regulatory aspects of AI, the course ensures attendees are equipped to balance technological advancement with societal impact, driving meaningful progress in public sector organizations.

Course Outcomes:
Enhance public service delivery with AI.
Develop AI strategies aligned with societal needs.
Mitigate ethical and social challenges of AI in governance.
Drive data-informed public policy decisions.
Ensure compliance with AI regulations.

Who Should Attend:
This course has been designed for executives, managers, and leaders across public sector organisations looking to use AI for better decision-making, improved service delivery, and organisational transformation. Past delegates have included:
\n
Strategy Department Heads
Business Development Executives and Managers
Project Managers
IT Analysts and Consultants
Digital Transformation Officers
HR, Financial and Operational Managers

Course Topics:
Introduction to Artificial Intelligence

History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making

AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance

Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI for Public Policy and Governance

AI for evidence-based policy-making
Enhancing citizen engagement through AI
Predictive analytics in public planning
AI-driven risk assessment in governance


AI for Public Services Improvement

AI in healthcare and education systems
Automating public service processes
Reducing inefficiencies with AI tools
Real-world examples of AI in government initiatives

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:12 +04 <![CDATA[Artificial Intelligence for Business Strategy - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/artificial-intelligence-for-business-strategy-lct-international/online Course Introduction:
This course equips executives with the tools to integrate AI into business strategy, leveraging AI to identify opportunities, gain competitive advantage, and drive innovation. Participants will develop skills to align AI with organisational goals, navigate ethical and governance challenges, and improve decision-making processes. By the end of the course, attendees will be prepared to lead AI initiatives that transform their organisations and position them for sustainable growth.

Course Outcomes:
Identify AI opportunities that are aligned with business goals.
Develop strategies for integrating AI into operational management.
Leverage AI for market analysis and informed decision-making.
Navigate ethical and regulatory AI challenges.
Drive organisational transformation using AI.

Who Should Attend:
This course has been designed for executives, managers, and leaders across industries seeking to leverage AI for strategic decision-making, innovation, and organizational transformation. Past delegates have included:
\n
Strategy Department Heads
Business Development Executives and Managers
Project Managers
Business Analysts and Consultants
Digital Transformation Officers
HR, Financial and Operational Managers

Course Topics:
Introduction to Artificial Intelligence

History and evolution of AI
Core concepts and key technologies
The impact of AI on organisations and individuals
Where are we now? Global trends and applications


AI in Decision-Making

AI-driven decision frameworks
Predictive analytics and insights generation
Case studies: Real-world example applications of AI in decision-making
Balancing AI-driven insights with human judgment


Ethical AI and Governance

Principles of ethical AI use
AI bias and fairness
Data privacy and regulatory compliance
Building an AI governance framework


AI-Driven Business Strategy

Identifying AI opportunities within organisations
AI for competitive analysis and market positioning
Developing AI-based business models
Building AI literacy among leadership teams


AI Integration and Change Management

Preparing organisations for AI adoption
Managing resistance to AI-driven change
Measuring ROI on AI initiatives
Ensuring long-term sustainability in AI implementation

Cost: 4850 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:12 +04 <![CDATA[Understanding and Using Automation - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/understanding-and-using-automation-lct-international/online Course Introduction:
Explore essential treasury management skills, from cash flow forecasting to risk management strategies. Delegates will gain hands-on experience with advanced financial tools and techniques to optimize liquidity and minimize risks. Benefit from practical insights into financial regulations and industry best practices, enhancing your ability to manage corporate finances effectively. Join us to strengthen your expertise and drive financial stability in your organisation.

Course Outcomes:
Equip participants with a solid foundation in automation principles and concepts
Enable participants to identify automation opportunities in their organisations
Teach strategies for planning and implementing automation projects
Empower participants to make informed decisions about automation technologies

Who Should Attend:
This course is ideal for Directors of Operations, managers, and professionals across industries who are looking to enhance their knowledge of automation and its applications. It is suitable for individuals responsible for improving operational efficiency, reducing costs, and exploring innovative solutions through automation technologies

Course Topics:
Introduction to Automation

Defining automation and its significance in modern industries
Historical evolution of automation
Types of automation (, robotic process automation industrial automation)
Ethical considerations in automation


Automation Technologies and Tools

Overview of automation technologies (, AI robotics IoT)
Case studies showcasing successful automation implementations
Identifying the right automation tools for specific tasks
Automation standards and protocols


Identifying Automation Opportunities

Assessing processes for automation suitability
ROI analysis and cost-benefit considerations
Automation project scoping and feasibility assessment
Identifying bottlenecks and pain points


Implementing Automation Opportunities

Planning and designing automation projects
Integration of automation systems with existing infrastructure
Testing and quality assurance in automation
Change management and workforce considerations


Leveraging Automation for Efficiency

Monitoring and optimizing automated processes
Data analytics and insights in automation
Scaling and expanding automation initiatives
Ethical and social implications of automation in the workplace

Cost: 4250 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:11 +04 <![CDATA[Understanding and Using AI for Employees - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul ]]>https://courses.laimoon.com/course/understanding-and-using-ai-for-employees-lct-international/online Course Introduction:
Explore the transformative world of AI with our Understanding AI course. Delve into core AI concepts, practical applications, and real-world case studies. Gain hands-on experience through interactive sessions and learn how to leverage AI tools for strategic decision-making. By the end, youll be equipped to integrate AI into your projects and enhance your organisations capabilities. Perfect for professionals seeking to harness AIs potential.

Course Outcomes:
Equip participants with a solid foundation in AI principles and concepts
Enable participants to identify AI opportunities in their organisations
Teach strategies for planning and implementing AI projects
Empower participants to make informed decisions about AI technologies

Who Should Attend:
This course is ideal for Directors of Operations, managers, and professionals across industries who are looking to enhance their knowledge of AI and its practical applications. It is suitable for individuals responsible for exploring AI solutions to improve business processes, enhance customer experiences, and gain competitive advantages through AI technologies.

Course Topics:
Introduction to Artificial Intelligence

Defining AI and its significance in the modern world
Historical evolution of AI
Types of AI (, machine learning natural language processing)
Ethical considerations in AI


AI Technologies and Tools

Overview of AI technologies and frameworks
Case studies showcasing successful AI implementations
Identifying the right AI tools and platforms for specific tasks
AI standards and best practices.


Identifying AI Opportunities

Assessing processes for AI suitability
ROI analysis and cost-benefit considerations
AI project scoping and feasibility assessment
Identifying data sources and data quality considerations


Implementing AI Solutions

Planning and designing AI projects
Data collection preprocessing and feature engineering
Model training testing and validation
Deployment and integration of AI systems


Leveraging AI for Business Improvement

Monitoring and optimizing AI models
Data analytics and insights derived from AI
Scaling and expanding AI initiatives
Ethical and social implications of AI in business

Cost: 4250 GBP

Duration: 5 Days

]]> Wed, 14 May 2025 11:15:11 +04 <![CDATA[EV Engineering and System Integration - Learners Point Training Institute , Bahrain, Kuwait, Qatar, Saudi Arabia, UAE, Dubai, Abu Dhabi, Sharjah, Fujairah, Online,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates ]]>https://courses.laimoon.com/course/ev-engineering-and-system-integration-learners-point-training-institute/online 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

]]> Thu, 01 May 2025 16:03:41 +04 <![CDATA[Certified Ethical Emerging Technologist (CEET) - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore ]]>https://courses.laimoon.com/course/certified-ethical-emerging-technologist-opportunities-workshop/online 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

]]> Tue, 25 Mar 2025 18:14:04 +04 <![CDATA[Certified Artificial Intelligence (AI) Practitioner - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore ]]>https://courses.laimoon.com/course/certified-artificial-intelligence-ai-practitioner-opportunities-workshop/online 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

]]> Tue, 25 Mar 2025 17:44:43 +04 <![CDATA[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 ]]>https://courses.laimoon.com/course/ai-in-digital-marketing-learners-point-training-institute/online 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

]]> Fri, 17 Jan 2025 21:42:39 +04 <![CDATA[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 ]]>https://courses.laimoon.com/course/part-time-ai-machine-learning-learners-point-training-institute/online 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.
Testimonials

Sarah Johnson, Software Engineer

"My experience at Learners Point Academy's Artificial Intelligence course was simply transformative. As a software engineer at a leading tech firm, I found the curriculum comprehensive and applicable. Kudos to the instructors for their expertise!"

Michael Chen, Data Analyst

"Learners Point Academy's Artificial Intelligence Training exceeded my expectations. The hands-on projects provided invaluable practical insights. I am grateful for the guidance of the instructors who made complex concepts easily ;

Take the next step in your career. Join our Artificial Intelligence and Machine Learning Course today to gain the skills, confidence, and credentials to thrive in the AI and ML industry.

Cost: 3000 AED

Discount: 50% Off for Laimoon Users!

Duration: Upto 4 Months

]]> Fri, 03 Jan 2025 15:46:07 +04 <![CDATA[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 ]]>https://courses.laimoon.com/course/artificial-intelligence-essentials-london-training-for-excellence/online 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

]]> Tue, 21 Mar 2023 15:57:37 +04 <![CDATA[Machine Learning Foundation - Learners Point Training Institute , UAE, Dubai,Dubai,Bahrain,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates ]]>https://courses.laimoon.com/course/part-time-machine-learning-foundation-learners-point-training-institute/online 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

]]> Tue, 07 Sep 2021 17:51:42 +04 <![CDATA[Artificial Intelligence Expert - Learners Point Training Institute , UAE, Dubai,Dubai,Bahrain,Kuwait,Oman,Qatar,Saudi Arabia,United Arab Emirates ]]>https://courses.laimoon.com/course/artificial-intelligence-learners-point-training-institute/online 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

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