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 Duration 14 hours

Course Outline

Introduction to AI in HR

  • An overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
  • Exploration of common HR use cases and their impact areas
  • Strategies for assessing readiness and defining the scope for AI pilots

Responsible AI, Privacy, and Compliance in HR

  • Basics of data privacy and managing personal data within HR contexts
  • Addressing bias, fairness, and legal considerations in recruitment and performance evaluation
  • Establishing governance, approval processes, and documentation standards for HR AI projects

Practical Prompting and Generative Workflows for HR

  • Developing prompts for job descriptions, candidate screening summaries, and offer letters
  • Utilizing templates and prompt patterns for HR communications and policy drafting
  • Iterating prompts, validating outputs, and implementing human-in-the-loop verification

Automation and Process Design

  • Building end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
  • Automating repetitive tasks such as interview scheduling, FAQ handling, 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 effectively communicating insights to stakeholders
  • Setting 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, defining rollout phases, and training HR teams
  • Operational considerations such as 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 or workflows
  • Presentations and peer reviews focusing on ethical and operational feedback
  • 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 keen interest in the ethical and practical application of AI within HR

Target Audience

  • HR managers and HR business partners
  • Professionals in talent acquisition and people operations
  • HR analysts and people analytics practitioners

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