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Duration 14 hours
Course Outline
Introduction to AI in HR
- An overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
- Exploration of common HR use cases and their impact areas
- Strategies for assessing readiness and defining the scope for AI pilots
Responsible AI, Privacy, and Compliance in HR
- Basics of data privacy and managing personal data within HR contexts
- 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
- Developing prompts for job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Iterating prompts, validating outputs, and implementing human-in-the-loop verification
Automation and Process Design
- Building end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating repetitive tasks such as interview scheduling, FAQ handling, and onboarding checklists
- 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 effectively communicating insights to stakeholders
- Setting KPIs and measuring the ROI of AI initiatives in HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilots, defining rollout phases, and training HR teams
- Operational considerations such as monitoring, maintenance, and continuous improvement
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group activity: Identify a target problem, design a solution, and develop prompts or 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
- Foundational knowledge of HR processes and terminology
- Proficiency in using 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 practitioners