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Duration 14 hours
Course Outline
Introduction to AI in HR
- Overview of AI capabilities applicable to HR, including LLMs, automation, and analytics
- Common HR use cases and areas of impact
- Evaluating organizational readiness and scoping AI pilot projects
Responsible AI, Privacy, and Compliance in HR
- Foundations of data privacy and the handling of personal data within HR
- Addressing bias, fairness, and legal considerations in recruitment and performance evaluation
- Establishing governance, approval processes, and documentation for HR AI projects
Practical Prompting and Generative Workflows for HR
- Developing prompts for job descriptions, candidate 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 checks
Automation and Process Design
- Designing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists
- Overview of integration patterns with APIs and low-code tools
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 communicating insights effectively to stakeholders
- Establishing KPIs and measuring ROI for HR AI initiatives
Change Management and Implementation Roadmap
- Building cross-functional teams and strategies for stakeholder engagement
- Planning pilots, defining rollout phases, and training HR teams
- Operational considerations such as monitoring, maintenance, and continuous improvement
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group exercise: selecting a target problem, designing a solution, and creating corresponding prompts and workflows
- Presentations and peer reviews focused on ethical and operational feedback
- Next steps and templates for pilot implementation
Summary and Next Steps
Requirements
- A foundational understanding of HR processes and terminology
- Proficiency with spreadsheets and web-based applications
- A commitment to the practical and ethical application of AI in HR
Target Audience
- HR Managers and HR Business Partners
- Professionals in Talent Acquisition and People Operations
- HR Analysts and Practitioners in People Analytics
