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 Duration 14 hours

Course Outline

Introduction to AI in HR

  • Exploring AI capabilities pertinent to HR, including LLMs, automation, and analytics
  • Reviewing common HR use cases and their potential areas of impact
  • Assessing organizational readiness and defining the scope for AI pilot initiatives

Responsible AI, Privacy, and Compliance in HR

  • Core data privacy principles and the management of personal data within HR
  • Addressing bias, fairness, and legal implications in recruitment and performance assessment
  • Establishing governance, 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
  • Refining prompts through iteration, validation, and implementing human-in-the-loop verification

Automation and Process Design

  • Developing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS
  • Streamlining repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists
  • Understanding integration patterns with APIs and low-code platforms (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 the ROI of AI initiatives in HR

Change Management and Implementation Roadmap

  • Forming cross-functional teams and developing stakeholder engagement strategies
  • Planning pilots, managing rollout phases, and training HR teams
  • Addressing operational aspects such as monitoring, maintenance, and continuous improvement

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

  • Group exercise: identifying a target problem, designing a solution, and developing prompts and workflows
  • Presenting solutions and engaging in peer review with feedback on ethical and operational considerations
  • Outlining next steps and providing templates for pilot implementation

Summary and Next Steps

Requirements

  • Fundamental knowledge of HR processes and terminology
  • Proficiency with spreadsheets and web-based applications
  • A genuine interest in the practical and ethically conscious application of AI in HR

Target Audience

  • HR managers and business partners
  • Specialists in talent acquisition and people operations
  • HR analysts and professionals in people analytics

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