HR AI Academy

# MASTER PROMPT — Generate a Comprehensive PRD for an AI Course for the Human Resources (HR) Department You are a **Senior Product Manager, Enterprise AI Consultant, Human Resources Subject Matter Expert (SME), Learning Experience Designer (LXD), and Corporate Training Curriculum Architect**. Your task is to create a **world-class Product Requirements Document (PRD)** that serves as the complete blueprint for developing a premium corporate training course titled: # **AI for Human Resources (HR): Leveraging AI Copilots & AI Agents for Modern HR Operations** The PRD should be detailed enough that an instructional designer can immediately use it to build: * The complete training curriculum * Instructor guide * Student workbook * PowerPoint presentation * Practical labs * AI prompt library * AI agent workflows * Assessments * Capstone project * Certification roadmap --- ## Course Philosophy The course is designed for HR professionals working in modern organizations. The primary focus is **using AI as a Copilot**, with **AI Agents introduced as advanced workflow automation tools**. Approximately: * **80% AI Copilot** * **20% AI Agent** The course must emphasize **practical business applications** rather than technical AI development. This is **not** a programming course. Participants should learn how AI improves productivity, decision-making, and operational efficiency while maintaining appropriate human oversight. --- ## AI Copilot Tools Use these tools consistently throughout the course where appropriate: * ChatGPT * Claude Desktop * NotebookLM * Gemini * Microsoft Copilot * Perplexity * Google AI Studio Do not teach every feature of these tools. Focus on how HR professionals use them to perform their daily work more effectively. --- ## AI Agent Platforms Include practical demonstrations and business workflows using examples such as: * Manus AI * OpenAI Agents * Microsoft Copilot Studio * Zapier AI Agents * n8n AI Workflows * Other enterprise AI agent platforms where relevant Focus on use cases rather than technical implementation. --- # Produce a Professional Product Requirements Document (PRD) Generate a highly detailed PRD containing the following sections. --- ## 1. Executive Summary * Product overview * Product vision * Business justification * Strategic value * Expected business outcomes --- ## 2. Product Information Include: * Product Name * Department * Version * Owner * Stakeholders * Target audience * Delivery format * Duration * Difficulty level * Certification level --- ## 3. Business Problem Explain: * Current HR operational challenges * Manual processes * Productivity bottlenecks * HR digital transformation needs * AI adoption gaps * Risks of not adopting AI --- ## 4. Business Goals Include measurable KPIs such as: * Productivity improvements * Time savings * Quality improvements * Employee experience * Recruitment efficiency * Cost reduction * HR reporting improvements --- ## 5. Learning Objectives Clearly define what participants should know and be able to do after completing the course. --- ## 6. Target Learner Personas Create detailed personas for: * HR Administrator * Recruiter * HR Business Partner * Learning & Development Specialist * HR Manager * HR Director * CHRO For each persona include: * Daily responsibilities * Current challenges * AI opportunities * Expected learning outcomes --- ## 7. Current-State HR Workflow Analysis Document existing HR workflows including: * Recruitment * Onboarding * Employee engagement * Learning * Performance management * Documentation * Reporting * Workforce planning Identify: * Pain points * Bottlenecks * Repetitive work * Decision delays * Compliance concerns --- ## 8. Future-State AI-Powered HR Workflow Separate into: ### AI Copilot Explain where AI assists humans. ### AI Agent Explain where AI automates tasks while maintaining human approval for sensitive actions. Include workflow diagrams (described in text if visuals are unavailable). --- ## 9. Course Architecture Design a complete curriculum with: * Modules * Lessons * Learning outcomes * Activities * Demonstrations * Labs * Assessments Each module should include: * Objectives * Duration * Skills gained * AI tools used * Practical exercises * Expected deliverables --- ## 10. AI Copilot Modules Create detailed modules covering: * Prompt Engineering for HR * Recruitment * Talent Acquisition * Job Description Writing * Resume Analysis * Interview Preparation * Employee Onboarding * Policy Development * HR Documentation * HR Reporting * Learning & Development * Performance Management * Employee Engagement * Internal Communications * HR Analytics * NotebookLM for HR Knowledge Management For every module include: * Business context * Learning objectives * Demonstration * Practical lab * AI prompts * Best practices * Common mistakes * Security considerations --- ## 11. AI Agent Modules Design modules demonstrating AI agent workflows such as: * Recruitment Agent * Candidate Screening Agent * Interview Scheduling Agent * Onboarding Agent * HR Help Desk Agent * Employee FAQ Agent * Policy Assistant Agent * Learning Recommendation Agent * Performance Tracking Agent * HR Reporting Agent For each agent include: * Business objective * Workflow * Inputs * Outputs * Human approval points * Risks * Governance considerations --- ## 12. HR Use Case Library Develop **30–50 realistic HR use cases**. For each use case include: * Business scenario * Challenge * AI Copilot solution * AI Agent solution (if applicable) * Expected benefits * Estimated time savings * Risks * Success metrics --- ## 13. HR Prompt Library Create **50+ reusable prompt templates** categorized by: * Recruitment * Interviewing * Policy drafting * Performance reviews * Employee engagement * Training * Internal communication * HR analytics * Workforce planning * Reporting Each prompt should include: * Purpose * Prompt * Expected output * Tips for customization --- ## 14. Practical Labs Design **10–15 hands-on labs** with: * Objectives * Required tools * Instructions * Deliverables * Evaluation criteria --- ## 15. Case Studies Develop **5–10 real-world inspired case studies** demonstrating AI adoption in HR. --- ## 16. Governance, Ethics & Security Cover: * Responsible AI * Data privacy * Employee confidentiality * Bias mitigation * Human oversight * AI hallucinations * Compliance considerations * Risk management --- ## 17. Assessments Create: * Module quizzes * Practical assignments * Prompt-writing exercises * Workflow design activities * Capstone project * Rubrics * Certification requirements --- ## 18. Deliverables List every asset required to launch the course, including: * Presentation slides * Instructor guide * Participant workbook * Prompt handbook * AI workflow templates * Demonstration datasets * Lab manuals * Assessments * Capstone guide * Certificate --- ## 19. Product Roadmap Provide a phased implementation plan for developing and launching the course. --- ## Writing Style The PRD should: * Follow professional product management standards. * Be suitable for executive review. * Use clear headings and numbered sections. * Include tables where appropriate. * Provide actionable recommendations. * Include examples throughout. * Be comprehensive, practical, and implementation-ready. The final output should read like a consulting deliverable from a leading enterprise advisory firm and be sufficiently detailed to guide the complete development of a premium corporate training course.