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Course Outline
Fundamentals of AI in HR
- Key AI capabilities relevant to HR, including LLMs, automation, and analytics
- Standard HR use cases and their areas of impact
- Strategies for assessing organizational readiness and defining the scope of AI pilots
Responsible AI, Privacy, and Regulatory Compliance in HR
- Core principles of data privacy and the management of personal data in HR contexts
- Addressing bias, fairness, and legal frameworks in recruitment and performance reviews
- Establishing governance, approval processes, and documentation standards 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 structures for HR communications and policy drafting
- Refining prompts through iteration, validation, and human-in-the-loop oversight
Automation and Workflow Architecture
- Constructing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems
- Automating repetitive 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 analytics, including attrition forecasting, skills gap identification, and learning suggestions
- Interpreting model results and effectively communicating insights to stakeholders
- Defining KPIs and calculating ROI for AI projects within HR
Change Management and Implementation Strategy
- Forming cross-functional teams and developing stakeholder engagement plans
- Planning pilots, defining rollout phases, and training HR teams
- Operational factors: monitoring, maintenance, and continuous optimization
Practical Workshop: Developing an AI-Driven HR Solution
- Group exercise: identifying a business problem, designing a solution, and creating prompts and workflows
- Presentations and peer evaluations focusing on ethical and operational soundness
- Actionable next steps and templates for pilot execution
Recap and Forward Path
Requirements
- Foundational knowledge of HR processes and industry terminology
- Proficiency with spreadsheets and web-based applications
- A strong interest in applying AI in HR with an ethical focus
Target Audience
- HR managers and business partners
- Talent acquisition and people operations specialists
- HR analysts and people analytics practitioners
14 Hours