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Course Outline
Intro to AI in Human Resources
- Overview of AI capabilities applicable to HR: Large Language Models (LLMs), automation, and analytics
- Typical HR use cases and areas of impact
- Strategies for assessing readiness and defining the scope of AI pilots
Responsible AI, Privacy, and Compliance in HR
- Fundamentals of data privacy and the management of personal data in HR contexts
- Addressing bias, fairness, and legal implications in recruitment and performance reviews
- Governance frameworks, approval processes, and documentation for HR AI projects
Practical Prompt Engineering and Generative Workflows for HR
- Developing prompts for job descriptions, candidate screening summaries, and offer letters
- Using templates and prompt structures for HR communications and policy drafting
- Iterating on prompts, validating results, and implementing human-in-the-loop checks
Automation and Process Architecture
- Creating end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists
- An overview of integration patterns using APIs and low-code tools
People Analytics and AI-Driven Decision Support
- Leveraging AI for workforce analytics, including attrition prediction, skills gap analysis, and learning recommendations
- Interpreting model outputs and communicating insights to key stakeholders
- Establishing KPIs and measuring ROI for AI initiatives within HR
Change Management and Implementation Strategy
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilots, defining rollout phases, and training HR teams
- Operational aspects: monitoring, maintenance, and continuous improvement cycles
Practical Workshop: Designing an AI-Powered HR Solution
- Group exercise: Identifying a target problem, designing a solution, and creating prompts and workflows
- Presentations and peer reviews focusing on ethical and operational feedback
- Defining next steps and utilizing templates for pilot execution
Conclusion and Future Directions
Requirements
- Foundational knowledge of HR processes and industry terminology
- Proficiency in using spreadsheets and web-based applications
- A genuine interest in the ethical and practical application of AI within HR
Target Audience
- HR managers and HR business partners
- Professionals in talent acquisition and people operations
- HR analysts and practitioners in people analytics
14 Hours
