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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
  • Evaluating readiness and defining the scope for AI pilots

Responsible AI, Privacy, and Compliance in HR

  • Foundations of data privacy and the handling of personal data in HR contexts
  • Addressing bias, fairness, and legal implications in recruitment and performance evaluation
  • Governance, approval processes, 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
  • 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 using 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 to stakeholders
  • Defining KPIs and measuring ROI for AI initiatives within HR

Change Management and Implementation Roadmap

  • Building cross-functional teams and developing stakeholder engagement strategies
  • Planning pilots, defining rollout phases, and training HR teams
  • Operational considerations including monitoring, maintenance, and continuous improvement

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

  • Group activity: Identify a target problem, design a solution, and develop prompts/workflows
  • Presentations and peer reviews incorporating ethical and operational feedback
  • Outlining next steps and providing templates for pilot implementation

Summary and Next Steps

Requirements

  • Fundamental knowledge of HR processes and terminology
  • Proficiency in using spreadsheets and web-based applications
  • An interest in the practical and ethically conscious application of AI within HR

Audience

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

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