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Duration 14 hours
Course Outline
Introduction to AI in HR
- Exploring AI capabilities relevant to HR, including LLMs, automation, and analytics
- Identifying key HR use cases and their potential impact
- Assessing organizational readiness and defining the scope for AI pilots
Responsible AI, Privacy, and Compliance in HR
- Understanding data privacy principles and the handling of personal data in HR contexts
- Navigating bias, fairness, and legal requirements in recruitment and performance reviews
- Establishing governance, approval processes, and documentation standards for AI projects
Practical Prompting and Generative Workflows for HR
- Creating effective prompts for job descriptions, candidate summaries, and offer letters
- Utilizing templates and pattern-based prompting for HR communications and policy drafting
- Refining prompts through iteration, validation, and human-in-the-loop oversight
Automation and Process Design
- Architecting end-to-end workflows that integrate LLMs, spreadsheets, and HRIS
- Automating repetitive tasks such as scheduling interviews, answering FAQs, and managing onboarding checklists
- Understanding integration patterns using APIs and low-code platforms
People Analytics and AI-Driven Decision Support
- Leveraging AI for workforce insights, including attrition forecasting, skills gap analysis, and personalized learning recommendations
- Interpreting model outputs to communicate meaningful insights to stakeholders
- Defining KPIs and calculating the return on investment (ROI) of HR AI initiatives
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing strategies for stakeholder engagement
- Planning pilot phases, rollout strategies, and team training programs
- Addressing operational aspects like monitoring, maintenance, and continuous improvement
Hands-on Workshop: Design an AI-Enabled HR Use Case
- Collaborative exercise: Selecting a specific problem, designing a solution, and building corresponding prompts or workflows
- Presenting solutions and receiving peer feedback with a focus on ethics and operational viability
- Identifying next steps and accessing templates for pilot execution
Summary and Next Steps
Requirements
- Fundamental understanding of HR processes and industry terminology
- Proficiency with spreadsheet software and web-based applications
- A genuine interest in the ethical and practical application of AI in human resources
Target Audience
- HR managers and business partners
- Talent acquisition and people operations experts
- HR analysts and specialists in people analytics
