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Prompt Engineering for HR: ChatGPT, AI Agents, 210 Tools
Rating: 3.2 out of 5(3 ratings)
500 students

Prompt Engineering for HR: ChatGPT, AI Agents, 210 Tools

Same prompt rewritten ten times, different answer every time? Prompt engineering for HR: ChatGPT, Claude, AI agents
Last updated 10/2026
English

What you'll learn

  • Build prompts that give a usable HR result on the first try: take 210 tools in 49 downloadable resources, including 52 ready AI prompts
  • Assemble a prompt from clear building blocks with the Prompt Architecture Toolkit and a reference card
  • Use chain-of-thought, tree-of-thoughts and ReAct for candidate evaluation and complex HR decisions
  • Set up an HR assistant project that knows your company's policies, with a setup checklist and a knowledge audit workbook
  • Use ready prompts for recruiting, performance, learning, engagement and HR communication
  • Design AI agents for onboarding, resume screening and survey analytics with n8n workflow scenarios and an agent blueprint
  • Move your prompts and projects between ChatGPT, Claude and Gemini with a cross-platform migration map
  • Apply context engineering: retrieval, memory and custom instructions, so the model keeps context across sessions
  • See 59 AI services for HR on screen, including ChatGPT, Gemini, Microsoft Copilot, Textio and SeekOut
  • Learn with Mike, the #1 HR instructor on Udemy: 1,800,000+ enrollments, 170,000 students, about 200 books on Amazon

Course content

6 sections • 38 lectures • 22h 3m total length
  • HR Prompt Anatomy: RISEN, CRISPE, CREATE (16 Tools)43:20

    Tools in this lecture

    Files to download (3)

    • Good vs Bad Prompts Game
    • Prompt Architecture Toolkit
    • Prompt architecture reference card

    Ready to use on the slides (11)

    • Seven-block prompt template
    • RISEN
    • CRISPE
    • CREATE
    • RTF
    • HR prompt framework selection matrix
    • Production prompt construction
    • Job description generation prompt
    • Prompt quality metrics
    • Resume summary prompt
    • Candidate rejection email prompt

    Models and methods explained (2)

    • Prompt engineering maturity model
    • Few-shot prompting

Requirements

  • Basic experience with any AI assistant such as ChatGPT, Claude or Gemini
  • No programming required: the agent lessons use no-code tools
  • Free plans are enough to start; some services shown in the course have their own paid plans
  • English at intermediate level or above, since all lessons are in English

Description

This course contains the use of artificial intelligence.

You rewrite the same prompt ten times and still get a different result every time. The problem is not the model, it is the lack of structure. Here are 210 tools to build it: 125 ready-to-use AI prompts, question lists, templates, procedures and checklists, 13 models and methods, 59 AI services shown on screen and 13 working files.

Open a lecture, take the prompt, run it on a real HR task today.

Why AI in HR stays at "ask a question, get a vague answer"

Without a system, every chat starts from zero: context is pasted again, answers drift, and reports for leadership can contain invented facts. Prompts that worked once live in someone's notes. Meanwhile other teams build assistants and agents that remember their policies and do routine work for them.

What changes after this course

Your prompts follow one structure and give consistent results. Complex HR decisions use reasoning techniques you can check. An HR assistant project knows your policies, your prompts move between ChatGPT, Claude and Gemini, and you can design agents for onboarding, screening and survey analysis without code.

What is inside: 210 tools, counted lecture by lecture

You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.

  • 49 downloadable resources: the lecture presentations plus 13 working files, including the Prompt Architecture Toolkit, the prompting technique selector, the advanced HR prompt library, the HR system prompt library, the n8n HR workflow scenarios and the onboarding agent blueprint
  • 125 ready-to-use tools inside the presentations:
  • 52 ready AI prompts: seven-block prompt structure, job description generation, employee turnover analysis, onboarding assistant setup
  • 23 question lists and scripts: onboarding one-on-one meetings, adaptability competency interviews, performance review discussions, corporate culture focus groups
  • 23 templates and sample documents: context-task-instructions prompt, new employee handbook, employee performance review form, LinkedIn Boolean search string
  • 13 step-by-step procedures and workflows: production prompt construction, personalized candidate outreach, AI-assisted policy drafting, GPT agent creation
  • 7 checklists: employee onboarding, AI agent implementation readiness, AI trainer suitability, retention analytics data sources
  • 6 scorecards, rubrics and matrices: HR prompt framework selection, AI HR platform selection, competency assessment options
  • 1 formula
  • 13 models and methods explained with examples: few-shot prompting, skills gap analysis, predictive analytics, 360-degree feedback
  • 59 AI services shown on screen, including ChatGPT, Gemini, Microsoft Copilot, Perplexity, Textio, SeekOut and Notion

Where the tools are

  • Prompt engineering basics and advanced techniques (2 sections, 19 tools). Prompt frameworks, chain-of-thought, tree-of-thoughts, ReAct and prompt libraries.
  • Prompt engineering across HR functions (1 section, 105 tools). Recruiting, talent management and HR analytics.
  • AI HR agents and workflows (1 section, 30 tools). Agents, automation and workflow design.
  • Advanced prompting for HR workflows (1 section, 87 tools). Prompts and AI services for everyday HR work.
  • Context engineering for HR agents (1 section, 7 tools). Retrieval, memory, connectors and n8n automation.

Who is teaching

I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe.

When I moved from ChatGPT to Claude, Claude knew nothing about me, so for about a week I taught it: I dictated who I am on walks, let it read my emails, and uploaded my CVs, articles and course presentations. When it once invented links, I added strict rules against that to its instructions. The course turns the same approach into templates you can use for HR.

How to use the course

Start with the basics and the Prompt Architecture Toolkit, then take the prompts for your HR function and move on to agents and context engineering. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

  • 38 lectures across 6 sections, 22 hours
  • 49 downloadable resources: lecture presentations and 13 working files
  • 210 tools across the lessons, including 59 AI services shown on screen
  • Lifetime access to all materials
  • Active instructor support in the Q&A section
  • A Udemy Certificate of Completion

Where to start

Take the HR text you asked AI for most recently and rebuild the request with the Prompt Architecture Toolkit. Compare the two answers. Enrol now and start your first lesson today.

Who this course is for:

  • HR managers and HR generalists who use AI every day
  • Recruiters and sourcers who want reliable prompts for search, screening and outreach
  • HR business partners and L&D specialists who prepare analysis and materials with AI
  • HR operations specialists planning AI agents and automation
  • HR leaders who want a shared prompt library for the team