By the end of this course delegates will be able to:
• Day 1: Understand AI fundamentals, key technologies, ethical considerations, and real-world applications in HR & L&D.
• Day 2: Explore AI-driven learning systems, microlearning, predictive skill analysis, and AI-powered training effectiveness measurement.
• Day 3: Implement AI for recruitment, onboarding, employee engagement, retention, and career pathing.
• Day 4: Utilize AI for workforce analytics, compliance, risk management, and business-aligned HR strategies.
• Day 5: Overcome AI adoption challenges, develop change management strategies, and explore future trends like Generative AI.

• HR Managers and HR Directors
• Learning and Development Professionals
• Talent Development Managers
• Training Coordinators
• Organizational Development Experts
• HR Technology Specialists
• Executives and Business Leaders

• Lectures
• Workshop & Work Presentation
• Case Studies and Practical Exercise
• Videos and General Discussions

Day 1: Foundations of AI in HRM and L&D
Pre-Training Tests (Knowledge, Skills, Attitude, and Aptitude)
Topic 1: Introduction to Artificial Intelligence AI
• Understanding AI, Machine Learning (ML), and Deep Learning
• AI’s Role in Modern HR and L&D Functions
• Key Technologies: NLP, Predictive Analytics, and Automation
• Ethical Considerations & AI Bias in HR
Topic 2: AI Use Cases in HR and L&D
• AI-driven Workforce Planning & Talent Analytics
• Personalized Learning & Adaptive Learning Platforms
• AI for Talent Acquisition: Automated Screening & Chatbots
• Real-world Case Studies
Activity: AI-driven HRM and L&D self-assessment (Identifying gaps and opportunities)

Day 2: AI-Driven Learning & Development
Topic 1 – AI in Training & Skill Development
• AI-Based Learning Management Systems (LMS)
• AI-Powered Microlearning & Personalized Learning Journeys
• Virtual Coaches and AI Mentors
Topic 2 – AI in Performance & Competency Management
• AI for Employee Upskilling and Reskilling
• Predicting Future Skill Needs with AI
• AI-Driven Training Effectiveness Measurement
Activity: Hands-on experience with AI-powered LMS platforms

Day 3: AI in Talent Acquisition and Employee Engagement
Topic 1 – AI for Talent Acquisition & Onboarding
• AI-Powered Job Matching & Resume Screening
• Chatbots for Candidate Engagement
• AI-Driven Predictive Hiring Models
Topic 2 – AI in Employee Engagement & Retention
• AI for Sentiment Analysis & Employee Feedback
• AI-Powered Career Pathing & Internal Mobility
• AI-Driven Succession Planning
Activity: Designing an AI-powered employee lifecycle journey

Day 4: AI in HR Decision-Making & Workforce Analytics
Topic 1 – AI for HR Analytics & Decision Making
• Workforce Analytics & AI-Powered People Insights
• AI for HR Risk Management
• AI in HR Compliance & Regulatory Tracking
Topic 2 – AI-Driven HR Strategy & Business Alignment
• Building an AI-Integrated HRM Strategy
• Aligning AI with Business Goals & Digital Transformation
• AI Adoption Roadmap for HRM & L&D
Activity: Developing an AI integration roadmap for participants’ organizations

Day 5: Implementation, Challenges & Future Trends
Topic 1 – AI Implementation Challenges & Change Management
• Overcoming Barriers to AI Adoption in HR & L&D
• Change Management Strategies for AI-Driven HR
• Ensuring Ethical & Responsible AI Implementation
Topic 2 – The Future of AI in HR & L&D
• Future Trends in AI-Powered HRM & L&D
• The Role of Generative AI & GPT in HR
• AI & the Future Workplace: HR’s Evolving Role

CDGA attendance certificate will be issued to all attendees completing a minimum of 75% of the total course duration