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Course Outline
Introductory Overview of AI in HR
- Key AI capabilities applicable to HR, including LLMs, automation, and data analytics
- Exploration of common HR use cases and their potential impact areas
- Strategies for assessing organizational readiness and defining the scope of AI pilots
Responsible AI, Data Privacy, and Regulatory Compliance
- Core principles of data privacy and the management of personal information in HR
- Addressing bias, ensuring fairness, and navigating legal requirements in recruitment and performance reviews
- Establishing governance frameworks, approval processes, and documentation standards for HR AI projects
Advanced Prompting and Generative Workflows for HR
- Developing prompts for generating job descriptions, screening summaries, and offer letters
- Applying templates and prompt structures for HR communications and policy drafting
- Iterating on prompts, validating outputs, and implementing human-in-the-loop review processes
Process Automation and Workflow Design
- Architecting end-to-end workflows that integrate LLMs, spreadsheets, and HRIS platforms
- Streamlining repetitive tasks such as interview coordination, FAQ handling, and onboarding checklists
- Overview of integration patterns using APIs and low-code development tools
People Analytics and AI-Enhanced Decision Making
- Leveraging AI for workforce insights, including attrition forecasting, skills gap identification, and personalized learning recommendations
- Interpreting model results and effectively communicating insights to key stakeholders
- Defining KPIs and calculating the return on investment (ROI) for HR AI initiatives
Change Management and Implementation Strategy
- Forming cross-functional teams and developing stakeholder engagement plans
- Structuring pilot phases, rollout schedules, and training programs for HR teams
- Operational best practices for monitoring, maintenance, and continuous improvement
Practical Workshop: Creating an AI-Powered HR Solution
- Team exercise: Identify a specific challenge, design a solution, and build corresponding prompts or workflows
- Presentations and peer evaluations focused on ethical and operational feasibility
- Actionable next steps and templates for deploying pilot projects
Course Recap and Future Actions
Requirements
- Foundational knowledge of HR processes and standard terminology
- Proficiency in using spreadsheets and web-based applications
- A keen interest in 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 focused on people analytics
14 Hours
