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Duration 14 hours
Course Outline
Introduction to AI in Human Resources
- Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
- Key HR use cases and areas of impact
- Assessing organizational readiness and defining the scope for AI pilots
Responsible AI, Privacy, and Compliance in HR
- Foundations of data privacy and managing personal data within HR
- Addressing bias, fairness, and legal considerations in recruitment and performance reviews
- Establishing governance, approval protocols, 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 checks
Automation and Process Design
- Building end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating routine tasks such as interview scheduling, FAQ responses, and onboarding checklists
- Exploring 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 to stakeholders
- Defining KPIs and measuring ROI for AI initiatives in HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilot phases, rollout timelines, and training for HR teams
- Addressing operational aspects such as monitoring, maintenance, and continuous improvement
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group exercise: Identify a problem area, design a solution, and develop prompts/workflows
- Presentations and peer reviews with feedback on ethical and operational aspects
- Defining next steps and obtaining templates for pilot implementation
Summary and Future Steps
Requirements
- Foundational knowledge of HR processes and industry terminology
- Proficiency with spreadsheets and web-based applications
- A keen 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 People Analytics Specialists
