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Duration 14 hours
Course Outline
Introduction to AI in Human Resources
- Overview of AI capabilities pertinent to HR, including LLMs, automation, and analytics
- Key HR use cases and areas of impact
- Strategies for assessing readiness and defining the scope of AI pilots
Ethical AI, Privacy, and Regulatory Compliance in HR
- Fundamentals of data privacy and the management of personal data in HR contexts
- Addressing bias, fairness, and legal nuances in recruitment and performance assessment
- Governance structures, approval processes, and documentation for HR AI initiatives
Applied 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
- Refining prompts through iteration, validation, and human-in-the-loop oversight
Automation and Workflow Design
- Constructing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating routine tasks such as interview scheduling, FAQ handling, and onboarding checklists
- Exploration of integration patterns using APIs and low-code platforms
People Analytics and AI-Assisted Decision Making
- Leveraging AI for workforce insights, including attrition forecasting, skills gap analysis, and learning recommendations
- Interpreting model outputs and communicating insights to key stakeholders
- Establishing KPIs and assessing ROI for AI initiatives within HR
Change Management and Deployment Strategy
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilot programs, rollout phases, and training for HR teams
- Operational considerations, including monitoring, maintenance, and continuous improvement
Practical Workshop: Developing an AI-Driven HR Solution
- Group exercise: identifying a target challenge, designing a solution, and creating prompts/workflows
- Presenting findings and receiving peer feedback on ethical and operational aspects
- Outlining next steps and providing templates for pilot execution
Conclusion and Future Directions
Requirements
- Foundational understanding of HR procedures 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
- Talent Acquisition and People Operations Specialists
- HR Analysts and People Analytics Practitioners
