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Course Outline

Introduction to AI in HR

  • Key AI capabilities applicable to HR: LLMs, automation, and analytics
  • Common HR applications and areas of impact
  • Assessing organisational readiness and defining the scope for AI pilots

Responsible AI, Privacy, and Compliance in HR

  • Data privacy principles and the management of personal data within HR
  • Addressing bias, fairness, and legal considerations in recruitment and performance reviews
  • Governance frameworks, approval processes, and documentation for HR AI projects

Practical Prompting and Generative Workflows for HR

  • Developing prompts for job descriptions, candidate screening summaries, and offer letters
  • Templates and prompt structures for HR communications and policy drafting
  • Iterating prompts, validating outputs, and implementing human-in-the-loop oversight

Automation and Process Design

  • Creating end-to-end workflows that combine LLMs, spreadsheets, and HRIS
  • Automating routine tasks such as interview scheduling, responding to FAQs, and managing onboarding checklists
  • Integration approaches with APIs and low-code platforms (overview)

People Analytics and AI-Driven Decision Support

  • Applying AI to workforce analytics: predicting attrition, identifying skills gaps, and suggesting learning paths
  • Interpreting model results and communicating insights to key stakeholders
  • Defining KPIs and measuring the return on investment of AI initiatives in HR

Change Management and Implementation Roadmap

  • Building cross-functional teams and strategies for stakeholder engagement
  • Planning pilots, phased rollouts, and training programs for HR teams
  • Operational considerations: monitoring, maintenance, and ongoing improvement

Practical Workshop: Designing an AI-Enabled HR Use Case

  • Group activity: defining a target issue, designing a solution, and creating prompts/workflows
  • Presentations and peer reviews focusing on ethical and operational feedback
  • Next steps and templates for pilot execution

Summary and Next Steps

Requirements

  • Foundational knowledge of HR processes and terminology
  • Proficiency in using spreadsheets and web-based applications
  • A genuine interest in the practical and ethical application of AI within HR

Target Audience

  • HR managers and HR business partners
  • Talent acquisition and people operations specialists
  • HR analysts and people analytics professionals
 14 Hours

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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