This course contains the use of artificial intelligence.

Most people who say AI is overrated tested it once, typed one sentence, got a mediocre answer and stopped. That answer was a fair reflection of the sentence. Here are 521 tools to use AI well: 416 ready-to-use AI prompts, templates, procedures, matrices and checklists, 33 models and methods, 37 services shown on screen and 35 working files.

Open a lecture, take the prompt, give AI one real task today.

The gap between using AI and using it well

The difference is mundane: giving the model a role and context, showing it examples of good output and asking it to check itself. Without that, AI saves ten minutes a week. With it, and with projects, documents and agents, it can take over whole categories of work, as long as someone designs the checks.

What changes after this course

Your prompts give consistent results, your assistants know your documents, and you choose the right tool for each task. AI drafts, searches, analyses and reports across your function, a first agent runs on a schedule with safeguards, and you can show leadership the hours, money and risk before you scale.

What is inside: 521 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.

• 74 downloadable resources: the lecture presentations plus 35 working files, including the Give or Keep Map, the prompt architecture reference card, the Claude ecosystem tool matrix, the first agent prompt library, the automation playbook, the executive AI business case and a 90-day AI rollout roadmap
• 416 ready-to-use tools inside the presentations:
• 235 ready AI prompts: project goal decomposition, business report creation, information summarization and structuring, automation business case arguments
• 52 templates and sample documents: context-task-response-format prompts, personal AI stack canvas, AI integration roadmap, executive AI business case
• 45 step-by-step procedures and workflows: production prompt construction, corporate HR AI assistant setup, AI workflow design, n8n onboarding workflow setup
• 27 scorecards, rubrics and matrices: HR prompting technique selection, RAG troubleshooting, AI platform selection, ROI × risk × frequency
• 25 checklists: knowledge upload preparation, chat context reset, AI-ready HR processes, automation safety checks
• 20 question lists and scripts: AI automation suitability, AI task delegation assessment, AI business case objection responses
• 11 formulas and metric sets: prompt quality metrics, HR AI assistant success metrics, AI adoption metrics
• 1 other working tool
• 33 models and methods explained with examples: few-shot prompting, chain-of-thought prompting, ReAct method, retrieval-augmented generation
• 37 services shown on screen, including ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity and n8n

Where the tools are

• The foundation (2 sections, 125 tools). What models do and do not do, creation, analysis and advanced use.
• The craft (2 sections, 56 tools). Prompt architecture, reasoning, context engineering and agents.
• Applied use cases (4 sections, 91 tools). Text, search, onboarding, development, assessment, problem solving, documents and analytics.
• Three assistants in depth (4 sections, 184 tools). Claude for documents and analysis, Claude as a platform, Gemini in a document suite and embedding AI into the business.
• Agents (2 sections, 83 tools). Building the first three agents, reporting, scheduling and orchestration.

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. I am also a founder and lead the strategy of my own academy.

I have used AI daily for years, and it saves me roughly 70% of the time I used to spend on many tasks. When I ran my old HR analytics tasks through Claude, work that used to take me a week in Excel took a couple of hours: a few prompts, a few comments, a few corrections.

How to use the course

Start with the Give or Keep Map and the foundation, then the craft, then the use cases and assistants that fit your work, and finish with agents. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

• 41 lectures across 15 sections, 24 hours
• 74 downloadable resources: lecture presentations and 35 working files
• 521 tools across the lessons, including 37 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

List the five tasks that take most of your week and sort them with the Give or Keep Map. Enrol now and start your first lesson today.