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Duration 14 hours
Course Outline
Introduction to AI in HR
- Overview of AI capabilities pertinent to HR, including LLMs, automation, and analytics.
- Identification of common HR use cases and their potential areas of impact.
- Strategies for assessing readiness and defining the scope for AI pilots.
Responsible AI, Privacy, and Compliance in HR
- Foundations of data privacy and the proper handling of personal data within HR.
- Addressing bias, fairness, and legal considerations in recruitment and performance evaluation.
- Establishing governance frameworks, approval processes, and documentation for HR AI projects.
Practical Prompting and Generative Workflows for HR
- Creating prompts for generating job descriptions, candidate screening summaries, and offer letters.
- Using templates and prompt patterns for drafting HR communications and policies.
- Iterating on prompts, validating outputs, and implementing human-in-the-loop verification checks.
Automation and Process Design
- Designing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS.
- Automating repetitive tasks such as interview scheduling, responding to FAQs, and managing onboarding checklists.
- Overview of 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 personalized learning recommendations.
- Interpreting model outputs and effectively communicating insights to stakeholders.
- Defining KPIs and measuring ROI for AI initiatives within HR.
Change Management and Implementation Roadmap
- Building cross-functional teams and developing stakeholder engagement strategies.
- Planning pilots, structuring rollout phases, and training HR teams.
- Operational aspects such as monitoring, maintenance, and continuous improvement.
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group exercise: Select a specific problem, design a solution, and develop the necessary prompts and workflows.
- Presentations and peer reviews with a focus on ethical and operational feedback.
- Next steps and provision of templates for pilot implementation.
Summary and Next Steps
Requirements
- Fundamental understanding of HR processes and industry terminology.
- Proficiency in using spreadsheets and web-based applications.
- A commitment to the ethical and practical application of AI within HR contexts.
Target Audience
- HR Managers and HR Business Partners.
- Specialists in Talent Acquisition and People Operations.
- HR Analysts and professionals in People Analytics.
