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Course Outline

AI Fundamentals in Human Resources

  • An overview of AI capabilities pertinent to HR, including LLMs, automation, and analytics.
  • Exploration of typical HR applications and their impact areas.
  • Strategies for assessing organizational readiness and defining the scope of AI pilots.

Responsible AI, Data Privacy, and Regulatory Compliance

  • Core principles of data privacy and the management of personal data within HR contexts.
  • Addressing bias, fairness, and legal aspects in recruitment and performance assessment.
  • Establishing governance, approval processes, and documentation standards for HR AI initiatives.

Effective Prompting and Generative Processes for HR

  • Developing prompts for role descriptions, candidate evaluation summaries, and offer letters.
  • Using templates and prompt structures for HR communications and policy drafting.
  • Iterating, validating prompts, and implementing human-in-the-loop verification.

Automation and Process Engineering

  • Creating end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems.
  • Automating recurring tasks such as interview coordination, FAQ handling, and onboarding checklists.
  • Overview of integration methods using APIs and low-code platforms.

People Analytics and AI-Assisted Decision Making

  • Leveraging AI for workforce insights: predicting attrition, analyzing skills gaps, and suggesting learning paths.
  • Interpreting model results and presenting insights to stakeholders.
  • Defining KPIs and calculating ROI for HR AI projects.

Change Management and Deployment Strategy

  • Forming cross-functional teams and developing stakeholder engagement plans.
  • Planning pilots, defining rollout stages, and training HR personnel.
  • Operational aspects: monitoring, upkeep, and continuous refinement.

Practical Workshop: Developing an AI-Powered HR Solution

  • Group exercise: select a challenge, design a solution, and create necessary prompts/workflows.
  • Presentations and peer evaluations focusing on ethical and operational feedback.
  • Defining next steps and utilizing templates for pilot execution.

Recap and Future Actions

Requirements

  • Familiarity with standard HR workflows and industry terminology.
  • Proficiency in using spreadsheet software and web-based applications.
  • A genuine interest in the ethical and practical application of AI within HR.

Target Audience

  • HR Directors and Business Partners.
  • Specialists in Talent Acquisition and People Operations.
  • HR Analysts and People Analytics Specialists.
 14 Hours

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