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Duration 14 hours
Course Outline
Introduction to AI in HR
- Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics.
- Exploration of common HR use cases and their potential impact areas.
- Strategies for assessing readiness and defining the scope for AI pilots.
Responsible AI, Privacy, and Compliance in HR
- Foundations of data privacy and the responsible handling of personal data in HR.
- Addressing bias, fairness, and legal considerations in recruitment and performance evaluation.
- Establishing governance, approval processes, and documentation standards for HR AI projects.
Practical Prompting and Generative Workflows for HR
- Crafting prompts for job descriptions, candidate screening summaries, and offer letters.
- Utilizing templates and prompt patterns for HR communications and policy drafts.
- Implementing prompt iteration, validation, and human-in-the-loop checks.
Automation and Process Design
- Designing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems.
- Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists.
- Overview of integration patterns with 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 effectively to stakeholders.
- Defining KPIs and measuring the ROI of AI initiatives in HR.
Change Management and Implementation Roadmap
- Building cross-functional teams and developing stakeholder engagement strategies.
- Planning pilots, outlining rollout phases, and training HR teams.
- Addressing operational considerations such as monitoring, maintenance, and continuous improvement.
Hands-on Workshop: Design an AI-Enabled HR Use Case
- Group activity: Identify a target problem, design a solution, and create relevant prompts and workflows.
- Presentations and peer review with a focus on ethical and operational feedback.
- Defining next steps and providing templates for pilot implementation.
Summary and Next Steps
Requirements
- Fundamental understanding of HR processes and terminology.
- Proficiency in using spreadsheets and web-based applications.
- A commitment to the practical and ethical application of AI in HR.
Target Audience
- HR managers and HR business partners.
- Professionals in talent acquisition and people operations.
- HR analysts and people analytics specialists.
