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Duration 14 hours
Course Outline
Foundations of AI in HR
- Exploring AI capabilities relevant to HR, including LLMs, automation, and analytics
- Identifying common HR use cases and their potential impact areas
- Assessing organizational readiness and defining the scope for AI pilot projects
Responsible AI, Data Privacy, and Regulatory Compliance
- Core principles of data privacy and the management of personal data within HR
- Navigating bias, fairness, and legal implications in hiring and performance assessment
- Establishing governance frameworks, approval processes, and documentation standards for HR AI initiatives
Strategic Prompting and Generative Workflows in HR
- Creating effective prompts for generating job descriptions, screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Refining prompts through iteration, validation, and human-in-the-loop oversight
Process Automation and Design
- Architecting end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Streamlining repetitive tasks such as interview coordination, FAQ handling, and onboarding checklists
- Understanding integration patterns involving APIs and low-code platforms (overview)
People Analytics and AI-Enhanced Decision Making
- Leveraging AI for workforce insights, including attrition forecasting, skills gap identification, and personalized learning suggestions
- Interpreting model results and articulating insights to key stakeholders
- Defining KPIs and calculating ROI for AI-driven HR projects
Change Management and Deployment Strategy
- Forming cross-functional teams and implementing stakeholder engagement tactics
- Planning pilots, managing rollout phases, and training HR staff
- Addressing operational aspects such as monitoring, maintenance, and continuous refinement
Practical Workshop: Building an AI-Powered HR Solution
- Team exercise: selecting a business challenge, designing a solution, and developing prompts or workflows
- Presenting work for peer review with feedback on ethical and operational viability
- Outlining next steps and providing templates for pilot execution
Conclusion and Future Pathways
Requirements
- Fundamental understanding of HR procedures and industry terminology
- Proficiency in utilizing spreadsheets and web-based applications
- Motivation to apply AI in HR with a strong focus on ethics and practicality
Target Audience
- HR leaders and HR business partners
- Professionals specializing in talent acquisition and people operations
- HR analysts and practitioners in people analytics
