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Duration 14 hours
Course Outline
Introduction to AI in HR
- Overview of AI capabilities pertinent to HR, including LLMs, automation, and analytics
- Common HR use cases and areas of significant impact
- Methods for assessing organizational readiness and defining the scope of AI pilots
Responsible AI, Privacy, and Compliance in HR
- Core principles of data privacy and the proper handling of personal data in HR
- Addressing bias, fairness, and legal considerations in recruitment and performance evaluation
- Establishing governance frameworks, approval processes, and documentation for HR AI projects
Practical Prompting and Generative Workflows for HR
- Developing prompts for creating job descriptions, screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Iterating on prompts, validating outputs, and implementing human-in-the-loop verification
Automation and Process Design
- Architecting end-to-end workflows that combine LLMs, spreadsheets, and HRIS
- Automating repetitive tasks such as interview scheduling, FAQ handling, and onboarding checklists
- Exploring integration patterns with APIs and low-code tools (overview)
People Analytics and AI-Driven Decision Support
- Leveraging AI for workforce analytics, including attrition prediction, skills gap analysis, and learning recommendations
- Interpreting model outputs and effectively communicating insights to stakeholders
- Defining KPIs and measuring ROI for AI initiatives in HR
Change Management and Implementation Roadmap
- Building cross-functional teams and developing stakeholder engagement strategies
- Planning pilots, managing rollout phases, and training HR teams
- Addressing operational considerations such as monitoring, maintenance, and continuous improvement
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group exercise: Select a specific problem, design a solution, and develop corresponding prompts and workflows
- Presentations and peer review incorporating ethical and operational feedback
- Outlining next steps and providing templates for pilot implementation
Summary and Next Steps
Requirements
- Foundational knowledge of HR processes and terminology
- Proficiency with spreadsheets and web-based applications
- A genuine interest in the practical, ethics-conscious application of AI within HR
Target Audience
- HR managers and HR business partners
- Talent acquisition specialists and people operations professionals
- HR analysts and people analytics practitioners
