• 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 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

Activity: AI Implementation Pitch – Participants present AI-driven HRM/L&D strategies

• Case studies and best practices
• Post-Training Tests (Knowledge, Skills, Attitude, and Aptitude)
• Projects of Participants
• Conclusion