AI for HR: Practical Applications, Ethics, and Implementation Training Course

Foundations of AI in HR

• An overview of AI capabilities applicable to HR, including LLMs, automation, and analytics
• Typical HR use cases and key areas of impact
• Evaluating organizational readiness and defining the scope for AI pilots

Ethical AI, Data Privacy, and Regulatory Compliance in HR

• Core data privacy principles and managing personal data within HR contexts
• Addressing bias, fairness, and legal nuances in recruitment and performance reviews
• Establishing governance frameworks, approval processes, and documentation standards for HR AI initiatives

Applied Prompting and Generative Workflows for HR

• Creating prompts for job descriptions, candidate screening summaries, and offer letters
• Developing templates and prompt patterns for HR communications and policy drafting
• Refining prompts, validating outputs, and incorporating human-in-the-loop verification

Automation and Workflow Design

• Building end-to-end workflows that integrate LLMs, spreadsheets, and HRIS
• Streamlining repetitive tasks such as scheduling interviews, handling FAQs, and managing onboarding checklists
• An overview of integration patterns using APIs and low-code platforms

People Analytics and AI-Enhanced Decision Making

• Leveraging AI for workforce analytics, including attrition forecasting, skill gap identification, and personalized learning recommendations
• Interpreting model results and presenting insights to key stakeholders
• Defining KPIs and calculating ROI for AI initiatives in HR

Change Management and Implementation Strategy

• Forming cross-functional teams and engaging stakeholders effectively
• Planning pilot phases, rollout stages, and team training
• Operational best practices: monitoring, maintenance, and iterative improvement

Practical Workshop: Building an AI-Powered HR Solution

• Group exercise: selecting a specific challenge, designing a solution, and developing prompts/workflows
• Presenting solutions and receiving peer feedback on ethical and operational aspects
• Outlining next steps and providing templates for pilot execution

Conclusions and Future Steps