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Course Outline
Introduction to AI in HR
- Overview of AI capabilities relevant to HR: LLMs, automation, and analytics
- Typical HR use cases and areas of impact
- Strategies for evaluating readiness and defining the scope of AI pilots
Responsible AI, Privacy, and Compliance in HR
- Fundamentals of data privacy and the management of personal data in HR contexts
- Addressing bias, fairness, and legal implications in recruitment and performance assessments
- Governance frameworks, approval processes, and documentation standards for HR AI projects
Practical Prompting and Generative Workflows for HR
- Creating prompts for job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Iterating, validating, and applying human-in-the-loop verification for prompts
Automation and Process Design
- Designing comprehensive workflows that integrate 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 within HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilots, structuring rollout phases, and preparing HR team training
- Addressing operational aspects: monitoring, maintenance, and continuous improvement
Hands-on Workshop: Design an AI-Enabled HR Use Case
- Group exercise: identifying a target issue, designing a solution, and developing prompts/workflows
- Presenting solutions and receiving peer review with feedback on ethical and operational matters
- Outlining next steps and providing templates for pilot implementation
Summary and Next Steps
Requirements
- Foundational knowledge of HR processes and terminology
- Proficiency in using spreadsheets and web-based applications
- A strong interest in the practical, ethically conscious application of AI in HR
Target Audience
- HR managers and HR business partners
- Talent acquisition and people operations specialists
- HR analysts and people analytics practitioners
14 Hours
