AI for HR: Practical Applications, Ethics, and Implementation Training Course

Introduction to AI in HR

• Overview of AI capabilities relevant to HR: LLMs, automation, and analytics
• Common HR use cases and key impact areas
• Strategies for evaluating readiness and scoping AI pilots

Responsible AI, Privacy, and Compliance in HR

• Data privacy fundamentals and the handling of personal data within HR
• Bias, fairness, and legal considerations in recruitment and performance evaluation
• Governance, approvals, 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
• Templates and prompt patterns for HR communications and policy drafts
• Prompt iteration, validation, and implementing human-in-the-loop checks

Automation and Process Design

• Designing end-to-end workflows that combine LLMs, spreadsheets, and HRIS
• 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: attrition prediction, skills gap analysis, and learning recommendations
• Interpreting model outputs and communicating insights to stakeholders
• Setting KPIs and measuring ROI for AI initiatives in HR

Change Management and Implementation Roadmap

• Building cross-functional teams and developing stakeholder engagement strategies
• Pilot planning, rollout phases, and training for HR teams
• Operational considerations including monitoring, maintenance, and continuous improvement

Hands-on Workshop: Design an AI-Enabled HR Use Case

• Group activity: select a target problem, design a solution, and create prompts/workflows
• Presentations and peer review with ethical and operational feedback
• Next steps and templates for pilot implementation

Summary and Next Steps