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Course Outline

Foundations of AI in Human Resources

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

Ethics, Privacy, and Regulatory Compliance in HR AI

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

Effective Prompting and Generative Workflows for HR

  • Developing precise prompts for creating job descriptions, summarizing candidate screens, and drafting offer letters
  • Utilizing templates and prompt structures for HR communications and policy documentation
  • Refining prompts through iteration, validation, and implementing human-in-the-loop verification

Process Automation and Workflow Design

  • Architecting comprehensive workflows that integrate LLMs, spreadsheets, and HRIS platforms
  • Streamlining repetitive activities such as interview scheduling, answering FAQs, and managing onboarding checklists
  • An introduction to integration patterns using APIs and low-code tools

People Analytics and AI-Powered Decision Making

  • Applying AI to workforce insights, including predicting attrition, analyzing skill gaps, and recommending learning paths
  • Interpreting AI model outputs and effectively communicating insights to key stakeholders
  • Defining KPIs and calculating the return on investment (ROI) for AI-driven HR initiatives

Change Management and Implementation Strategy

  • Forming cross-functional teams and developing stakeholder engagement tactics
  • Planning pilot programs, defining rollout phases, and preparing HR teams for adoption
  • Operational best practices: monitoring performance, maintenance, and continuous improvement cycles

Practical Workshop: Building an AI-Enhanced HR Solution

  • Group exercise: Identify a specific problem, design an AI-based solution, and create corresponding prompts and workflows
  • Presentation of solutions with peer review focused on ethical and operational viability
  • Outlining next steps and providing templates for pilot execution

Conclusion and Future Directions

Requirements

  • Foundational understanding of HR workflows and key industry terminology
  • Proficiency in using spreadsheets and web-based applications
  • A keen interest in applying AI to HR with a focus on ethics and practicality

Target Participants

  • HR Managers and HR Business Partners
  • Talent Acquisition and People Operations Specialists
  • HR Analysts and Professionals focused on People Analytics
 14 Hours

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