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Course Outline
Introduction to AI in HR
- Overview of AI capabilities pertinent to HR, including LLMs, automation, and analytics
- Key HR use cases and areas of impact
- Strategies for evaluating organizational readiness and scoping AI pilots
Responsible AI, Privacy, and Compliance in HR
- Core data privacy principles and the management of personal data within HR
- Addressing bias, fairness, and legal implications in recruitment and performance reviews
- Governance frameworks, approval processes, and documentation for HR AI projects
Practical Prompting and Generative Workflows for HR
- Developing prompts for job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Refining prompts, validating outputs, and implementing human-in-the-loop oversight
Automation and Process Design
- Creating end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Streamlining repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists
- Exploring integration patterns with APIs and low-code platforms (overview)
People Analytics and AI-Driven Decision Support
- Applying AI to workforce analytics for attrition prediction, skills gap analysis, and learning recommendations
- Interpreting model outputs and effectively communicating insights to stakeholders
- Defining KPIs and measuring the ROI of AI initiatives in HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilots, defining rollout phases, and training HR teams
- Addressing operational aspects such as monitoring, maintenance, and continuous improvement
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group exercise: selecting a specific problem, designing a solution, and building prompts or workflows
- Presenting solutions and receiving peer feedback focused on ethical and operational considerations
- Identifying next steps and utilizing templates for pilot implementation
Summary and Next Steps
Requirements
- Foundational knowledge of HR processes and industry terminology
- Proficiency in using spreadsheets and web-based applications
- A strong interest in the practical and ethically conscious application of AI within HR
Target Audience
- HR Managers and HR Business Partners
- Talent Acquisition and People Operations Specialists
- HR Analysts and People Analytics Professionals
14 Hours
