Course Details

This course is appropriate for a wide range of professionals but not limited to:

• HR managers and HR business partners
• Talent acquisition and recruitment professionals
• Learning and development specialists
• Organizational development and workforce planners
• CHROs, HR directors, and transformation leaders

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants will be able to:

• Understand the fundamentals of AI and its applications in human resource management
• Identify HR functions where AI can improve efficiency, accuracy, and employee experience
• Implement AI tools for talent acquisition, engagement, learning, and workforce planning
• Address ethical considerations, bias, and data privacy in AI-driven HR practices
• Design a roadmap for responsible AI integration into the HR function

DAY 1

Introduction to AI and Its Role in HR

• Pre-test
• Overview of AI and machine learning in business
• Evolution of digital HR: from automation to intelligent systems
• Core technologies: NLP, chatbots, predictive analytics, computer vision
• Strategic benefits of AI in HR functions
• Case study

DAY 2

AI in Talent Acquisition and Recruitment

• Resume screening, ranking, and candidate shortlisting with AI
• Smart job matching and sourcing platforms
• Video interview analysis and AI-powered assessments
• Bias mitigation and fairness in AI recruitment tools
• Hands-on activity

DAY 3

Employee Experience, Engagement, and Learning

• AI chatbots and virtual assistants in HR service delivery
• Personalized learning and development pathways using AI
• Sentiment analysis and employee engagement tracking
• AI in performance management and career pathing
• Workshop

DAY 4

Predictive Workforce Analytics and Planning

• Forecasting attrition, promotion, and workforce needs with AI
• Data integration for talent analytics: dashboards and KPIs
• Scenario planning and agile workforce modeling
• Linking analytics to strategic HR decision-making
• Group exercise

DAY 5

Ethical, Legal, and Strategic AI Adoption in HR

• Data privacy, ethics, and compliance in AI-enhanced HR
• Addressing bias, transparency, and explainability in algorithms
• Selecting, vetting, and integrating HR tech platforms
• Change management and stakeholder engagement for digital HR transformation
• Final project
• Post-test