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Duration 14 hours
Course Outline
Introduction to AI in HR
- Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics.
- Identification of common HR use cases and their potential impact areas.
- 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 in HR contexts.
- Addressing bias, fairness, and legal nuances in recruitment and performance evaluation.
- 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, screening candidate summaries, and drafting offer letters.
- Utilising templates and prompt patterns for HR communications and policy drafts.
- Refining prompts through iteration, validation, and 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, responding to FAQs, and managing onboarding checklists.
- Exploring integration patterns with APIs and low-code tools (conceptual overview).
People Analytics and AI-Driven Decision Support
- Applying AI for workforce analytics, including attrition prediction, skills gap analysis, and personalised 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 pilot phases, rollout strategies, and team training programs.
- Addressing operational aspects such as monitoring, maintenance, and continuous improvement.
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group activity: selecting a specific challenge, designing a solution, and creating relevant prompts and workflows.
- Presentations and peer reviews with a focus on ethical and operational feedback.
- Defining next steps and providing templates for pilot implementation.
Conclusion and Next Steps
Requirements
- Familiarity with standard HR processes and terminology.
- Confidence in using spreadsheets and web-based applications.
- A keen interest in the practical and ethical 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 Specialists.
