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 Duration 14 hours

Course Outline

Introduction to AI in HR

  • Overview of AI capabilities relevant to HR: LLMs, automation, and analytics
  • Common HR use cases and areas of impact
  • Evaluating readiness and scoping for AI pilots

Responsible AI, Privacy, and Compliance in HR

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

Practical Prompting and Generative Workflows for HR

  • Creating 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 using APIs and low-code tools (overview)

People Analytics and AI-Driven Decision Support

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

Change Management and Implementation Roadmap

  • Building cross-functional teams and stakeholder engagement strategies
  • Planning pilots, rollout phases, and team training
  • 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 reviews with feedback on ethical and operational aspects
  • Next steps and templates for implementing pilots

Summary and Next Steps

Requirements

  • Basic familiarity with HR processes and terminology
  • Confidence in using spreadsheets and web-based applications
  • Interest in the practical and ethics-conscious 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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