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 Duration 14 hours

Course Outline

Introduction to AI in HR

  • Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
  • Common HR use cases and areas of impact
  • Assessing readiness and defining the scope for AI pilots

Responsible AI, Privacy, and Compliance in HR

  • Data privacy fundamentals and the handling of personal data in HR
  • Bias, fairness, and legal considerations in recruitment and performance evaluation
  • Governance, approval processes, and documentation for HR AI projects

Practical Prompting and Generative Workflows for HR

  • Crafting prompts for job descriptions, candidate screening summaries, and offer letters
  • Templates and prompt patterns for HR communications and policy drafting
  • Prompt iteration, validation, and human-in-the-loop verification

Automation and Process Design

  • Designing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS
  • Automating repetitive tasks, such as interview scheduling, FAQ responses, and onboarding checklists
  • Integration patterns with APIs and low-code tools (overview)

People Analytics and AI-Driven Decision Support

  • Utilizing AI for workforce analytics, including attrition prediction, skills gap analysis, and learning recommendations
  • Interpreting model outputs and communicating insights to stakeholders
  • Setting KPIs and measuring ROI for AI initiatives in HR

Change Management and Implementation Roadmap

  • Building cross-functional teams and stakeholder engagement strategies
  • Pilot planning, rollout phases, and training for HR teams
  • Operational considerations, including monitoring, maintenance, and continuous improvement

Hands-on Workshop: Designing an AI-Enabled HR Use Case

  • Group activity: selecting a target problem, designing a solution, and creating prompts/workflows
  • Presentations and peer review with ethical and operational feedback
  • Next steps and templates for pilot implementation

Summary and Next Steps

Requirements

  • Basic familiarity with HR processes and terminology
  • Comfort with using spreadsheets and web applications
  • Interest in the practical and ethics-aware application of AI in HR

Target Audience

  • HR managers and HR business partners
  • Talent acquisition and people operations professionals
  • HR analysts and people analytics practitioners

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