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Course Outline

Fundamentals of AI in HR

  • Key AI capabilities relevant to HR, including LLMs, automation, and analytics
  • Standard HR use cases and their areas of impact
  • Strategies for assessing organizational readiness and defining the scope of AI pilots

Responsible AI, Privacy, and Regulatory Compliance in HR

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

Applied Prompting and Generative Workflows for HR

  • Developing prompts for job descriptions, candidate screening summaries, and offer letters
  • Utilizing templates and prompt structures for HR communications and policy drafting
  • Refining prompts through iteration, validation, and human-in-the-loop oversight

Automation and Workflow Architecture

  • Constructing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
  • Automating repetitive tasks such as interview scheduling, FAQ handling, and onboarding checklists
  • Understanding integration patterns with APIs and low-code platforms (overview)

People Analytics and AI-Assisted Decision Making

  • Leveraging AI for workforce analytics, including attrition forecasting, skills gap identification, and learning suggestions
  • Interpreting model results and effectively communicating insights to stakeholders
  • Defining KPIs and calculating ROI for AI projects within HR

Change Management and Implementation Strategy

  • Forming cross-functional teams and developing stakeholder engagement plans
  • Planning pilots, defining rollout phases, and training HR teams
  • Operational factors: monitoring, maintenance, and continuous optimization

Practical Workshop: Developing an AI-Driven HR Solution

  • Group exercise: identifying a business problem, designing a solution, and creating prompts and workflows
  • Presentations and peer evaluations focusing on ethical and operational soundness
  • Actionable next steps and templates for pilot execution

Recap and Forward Path

Requirements

  • Foundational knowledge of HR processes and industry terminology
  • Proficiency with spreadsheets and web-based applications
  • A strong interest in applying AI in HR with an ethical focus

Target Audience

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

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