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Course Outline

Introduction to AI in HR

  • Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
  • Identification of common HR use cases and their corresponding impact areas
  • Methods for assessing organizational readiness and defining the scope for AI pilots

Responsible AI, Privacy, and Compliance in HR

  • Data privacy fundamentals and the appropriate handling of personal data in HR contexts
  • Addressing bias, fairness, and legal considerations in recruitment and performance evaluation
  • Establishing governance frameworks, approval processes, and documentation standards for HR AI projects

Practical Prompting and Generative Workflows for HR

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

People Analytics and AI-Driven Decision Support

  • Applying AI to workforce analytics, including attrition prediction, skills gap analysis, and personalized learning recommendations
  • Interpreting model outputs and effectively communicating insights to stakeholders
  • Defining KPIs and measuring the ROI of 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 for adoption
  • Addressing operational aspects such as monitoring, maintenance, and continuous improvement

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

  • Group exercise: selecting a target problem, designing a solution, and creating corresponding prompts and 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 understanding of HR processes and associated terminology
  • Proficiency in using spreadsheets and web-based applications
  • A strong interest in the practical and ethically conscious use of AI within HR

Target Audience

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

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