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Duration 14 hours
Course Outline
Introduction to AI in Human Resources
- An overview of AI capabilities applicable to HR, including LLMs, automation, and analytics
- Exploring common HR use cases and their potential impact areas
- Strategies for evaluating organizational readiness and defining the scope of AI pilots
Responsible AI, Privacy, and Compliance in HR
- Foundations of data privacy and the appropriate handling of personal data in HR contexts
- Addressing bias, fairness, and legal implications in recruitment and performance evaluation
- Establishing governance frameworks, approval processes, and documentation for HR AI projects
Practical Prompting and Generative Workflows for HR
- Developing prompts for generating job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Techniques for prompt iteration, validation, and implementing human-in-the-loop verification
Automation and Process Design
- Designing comprehensive 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 personalized learning recommendations
- Interpreting model outputs and effectively communicating insights to stakeholders
- Defining KPIs and measuring the ROI of AI initiatives within HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilot programs, phased rollouts, and training initiatives for HR teams
- Operational aspects including monitoring, maintenance, and continuous improvement processes
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group activity involving the selection of a target problem, solution design, and creation of prompts and workflows
- Presentations and peer reviews focusing on ethical and operational feedback
- Outlining next steps and providing templates for pilot implementation
Summary and Next Steps
Requirements
- A foundational understanding of HR processes and key terminology
- Proficiency in using spreadsheets and web-based applications
- A commitment to the practical and ethics-conscious application of AI in HR
Target Audience
- HR Managers and HR Business Partners
- Professionals in Talent Acquisition and People Operations
- HR Analysts and Practitioners in People Analytics
