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Duration 14 hours
Course Outline
Introduction to AI in the Workplace
- Exploring AI capabilities relevant to Human Resources, including LLMs, automation, and data analytics
- Identifying common HR use cases and their areas of impact
- Assessing organizational readiness and defining the scope for AI pilot projects
Ethical AI, Privacy, and Compliance in HR
- Foundations of data privacy and managing personal information within HR contexts
- Navigating bias, fairness, and legal requirements in recruitment and performance reviews
- Establishing governance frameworks, approval processes, and documentation standards for HR AI initiatives
Applied Prompt Engineering and Generative Workflows for HR
- Developing prompts for creating job descriptions, candidate screening summaries, and offer letters
- Utilizing templates and prompt patterns for HR communications and policy drafting
- Refining prompts, validating outputs, and implementing human-in-the-loop verification
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
- Understanding integration patterns with APIs and low-code platforms (overview)
People Analytics and AI-Assisted Decision Making
- Leveraging AI for workforce insights: predicting attrition, analyzing skill gaps, and recommending learning paths
- Interpreting model results and effectively communicating insights to stakeholders
- Defining KPIs and evaluating the return on investment of AI initiatives in HR
Change Management and Implementation Strategy
- Forming cross-functional teams and developing stakeholder engagement strategies
- Planning pilot stages, rollout phases, and training programs for HR teams
- Addressing operational aspects such as monitoring, maintenance, and ongoing improvement
Practical Workshop: Creating an AI-Powered HR Solution
- Group exercise: Identifying a specific challenge, designing a solution, and developing prompts or workflows
- Presenting solutions and receiving peer feedback focused on ethical and operational considerations
- Outlining next steps and providing templates for pilot execution
Conclusion and Future Directions
Requirements
- Foundational knowledge of HR processes and terminology
- Confidence in using spreadsheets and web-based applications
- Enthusiasm for the practical and ethically conscious application of AI in HR
Intended Audience
- HR Managers and HR Business Partners
- Talent Acquisition and People Operations Specialists
- HR Analysts and People Analytics Practitioners
