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Course Outline
Introduction to AI in HR
- An overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
- Identification of common HR use cases and key impact areas
- Strategies for assessing organizational readiness and defining the scope of AI pilots
Responsible AI, Privacy, and Compliance in HR
- Fundamentals of data privacy and the handling of personal data within HR contexts
- Addressing bias, fairness, and legal implications in recruitment and performance reviews
- Establishing governance frameworks, approval processes, and documentation standards for HR AI projects
Practical Prompting and Generative Workflows for HR
- Developing prompts for creating job descriptions, summarizing candidate screening, and drafting offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Iterating on prompts, validating outputs, and implementing human-in-the-loop verification
Automation and Process Design
- Building end-to-end workflows that combine LLMs, spreadsheets, and HRIS systems
- Automating routine tasks such as scheduling interviews, responding to FAQs, and managing onboarding checklists
- Understanding integration patterns with APIs and low-code tools
People Analytics and AI-Driven Decision Support
- Applying AI to workforce analytics, including attrition prediction, skills gap analysis, and personalized learning recommendations
- Interpreting model outputs and effectively communicating insights to stakeholders
- Defining KPIs and calculating ROI for AI initiatives within HR
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing strategies for stakeholder engagement
- Planning pilot phases, rollout schedules, and training programs 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: selecting a specific problem, designing a solution, and creating corresponding prompts or workflows
- Presenting solutions and receiving peer feedback focused on ethical and operational considerations
- Outlining next steps and providing templates for pilot implementation
Summary and Next Steps
Requirements
- Fundamental 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
14 Hours
