Certificate in AI for HR Professionals Course Outline

Module 1: Understanding the AI Revolution

• Introduction to artificial intelligence (AI)
• The emergence of Generative AI (GenAI)
• The impact of AI on the future of work

Module 2: GenAI and the Strategic Transformation of HR

• The evolution of HR technology
• How GenAI is reshaping HR functions
• A new era of data-driven decision-making

Module 3: GenAI in Talent Acquisition

• Automating candidate sourcing and screening
• Personalising the candidate experience
• Mitigating bias and promoting diversity
• Case study: Boosting recruitment efficiency with Paradox

Module 4: AI-Powered Learning and Development

• Personalised learning paths and adaptive learning
• Immersive learning experiences: VR, AR, and gamification
• AI-powered mentorship and knowledge sharing
• Case study: Personalised learning and development with Degreed

Module 5: Optimising Performance Management With GenAI

• Continuous feedback and performance improvement
• AI-powered feedback analysis and sentiment analysis
• Ensuring fairness and objectivity: Mitigating bias with XAI
• Case study: Talent analytics for performance optimisation at IBM

Module 6: Strategic workforce planning with GenAI

• Predicting future skill needs and talent gaps
• Optimising resource allocation and workforce agility
• Case study: Strategic workforce planning at Merck

Module 7: Cultivating engagement and inclusion with AI

• AI-powered insights into employee sentiment
• Personalising the employee experience
• Promoting diversity and inclusion with AI
• Case study: Building a more inclusive workplace with Textio

Module 8: The future of total rewards

• Personalised compensation and benefits
• AI-powered benefits administration
• Predictive analytics for salary benchmarking

Module 9: The ethical considerations of GenAI in HR

• Personalised learning paths and adaptive learning
• Immersive learning experiences: VR, AR, and gamification
• AI-powered mentorship and knowledge sharing
• Case study: Personalised learning and development with Degreed

Module 5: Optimising Performance Management With GenAI

• Data privacy and security
• Algorithmic bias and fairness
• Job displacement and the future of work

Module 10: Leading the HR transformation in the age of AI

• Change management strategies for AI adoption
• Proving the value of AI in HR
• Building a culture of continuous learning and innovation within HR

Module 11: Hands-on exploration of GenAI solutions in HR

• Exploring commercial platforms for AI-powered HR content creation and AI-driven employee support
• Prompt engineering for HR: Crafting effective HR prompts
• Evaluating platform capabilities and ethical considerations

Module 12: Beyond automation: The rise of agentic AI in HR

• Understanding AI agents and agentic automation
• Potential applications of AI agents in HR
• Interactive activity: Agentic AI ethical challenge simulation
• Case study: Automating recruitment at scale – “FinTech Frontier ”leverages AI agents

Module 9: The ethical considerations of GenAI in HR

• Personalised learning paths and adaptive learning
• Immersive learning experiences: VR, AR, and gamification
• AI-powered mentorship and knowledge sharing
• Case study: Personalised learning and development with Degreed

Module 13: Shaping your AI-powered future

• Developing a roadmap for GenAI
• Implementation in HR Key steps for successful AI adoption
• Measuring the impact and ROI of GenAI initiatives