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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.
  • Common HR applications and areas of impact.
  • Evaluating organizational 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 considerations in recruitment and performance evaluations.
  • Establishing governance, approval processes, and documentation for HR AI projects.

Practical Prompting and Generative Workflows for HR

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

Automation and Process Design

  • Creating end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems.
  • Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists.
  • Introduction to integration patterns with APIs and low-code tools.

People Analytics and AI-Driven Decision Support

  • Leveraging AI for workforce analytics, including attrition prediction, skills gap analysis, and personalized learning recommendations.
  • Interpreting model outputs and communicating insights to key stakeholders.
  • Establishing 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: monitoring, maintenance, and continuous improvement.

Hands-on Workshop: Designing 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.
  • Defining next steps and utilizing templates for pilot implementation.

Summary and Next Steps

Requirements

  • Familiarity with fundamental HR processes and terminology.
  • Proficiency in using spreadsheets and web-based applications.
  • A keen interest in the practical and ethical 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 Specialists.

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