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Duration 14 hours
Course Outline
Foundations of AI in Human Resources
- Exploring AI capabilities relevant to HR, including LLMs, automation, and analytics
- Identifying key HR use cases and their potential impact areas
- Assessing organizational readiness and defining the scope for AI pilots
Ethical AI, Data Privacy, and Regulatory Compliance in HR
- Core principles of data privacy and the proper handling of personal data in HR contexts
- Addressing bias, fairness, and legal implications in recruitment and performance reviews
- Establishing governance frameworks, approval processes, and documentation standards for HR AI projects
Applied Prompt Engineering and Generative Workflows for HR
- Creating precise prompts for drafting job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt structures for HR communications and policy drafting
- Refining prompts, validating outputs, and implementing human-in-the-loop oversight
Process Automation and Workflow Design
- Architecting end-to-end workflows that integrate LLMs, spreadsheets, and HRIS
- Streamlining repetitive tasks such as interview scheduling, FAQ management, and onboarding checklists
- Overview of integration patterns using APIs and low-code platforms
People Analytics and AI-Enhanced Decision Support
- Leveraging AI for workforce analytics, including attrition forecasting, skills gap analysis, and personalized learning recommendations
- Interpreting model outputs and translating insights for stakeholder communication
- Defining KPIs and tracking ROI for AI-driven HR initiatives
Change Management and Implementation Strategy
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilot phases, rollout timelines, and training programs for HR teams
- Addressing operational needs such as monitoring, maintenance, and continuous improvement
Practical Workshop: Developing an AI-Powered HR Solution
- Collaborative activity: Selecting a specific problem, designing a solution, and building corresponding prompts and workflows
- Presenting solutions and conducting peer reviews with a focus on ethical and operational feedback
- Outlining next steps and providing templates for pilot deployment
Concluding Summary and Future Directions
Requirements
- Fundamental understanding of HR processes and industry terminology
- Proficiency in using spreadsheets and web-based applications
- Commitment to ethical and practical application of AI in HR
Target Audience
- HR Managers and HR Business Partners
- Talent Acquisition and People Operations Specialists
- HR Analysts and People Analytics Professionals
