This course contains the use of artificial intelligence.
You have been using AI for a year. It answers well. It has never once done anything while you were away from the keyboard. Here are 404 tools to change that: 273 ready-to-use AI prompts, workflows, checklists and templates, 79 working files, 39 models and methods, and 13 services shown on screen.
Open a lecture, take the prompt or the setup checklist, and build your first project today.
Why most people stop at the first step
Between writing a good prompt and having something that runs on its own there are four steps, and almost everyone stops at the first. You get a useful answer, paste it somewhere, and do the same thing again tomorrow. The context lives in your head, the checks happen when you remember, and nothing runs at night.
What changes after this course
Your prompts are built, not improvised. Your knowledge lives in projects and skills, connectors bring in the data, and agents run on a schedule, report back and alert you when something fails. You know which part of your week to automate next, and you check the output before anyone else sees it.
What is inside: 404 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.
- 112 downloadable resources: lecture presentations plus 79 working files, including the Prompt Architecture Toolkit, n8n HR workflow scenarios, an HR Plugin skeleton and an Automation Playbook
- 273 ready-to-use tools inside the presentations:
- 75 ready AI prompts: seven-block prompt structure, six-block system prompt, custom skill creation, automation creation
- 55 step-by-step procedures and workflows: AI workflow design, n8n onboarding workflow setup, GPT agent creation, scheduled automation setup
- 49 checklists: HR assistant knowledge inventory, AI agent implementation readiness, AI agent platform selection, scheduled agent reliability
- 40 templates and sample documents: personal AI stack canvas, skill definition file, plugin manifest, AI agent action log
- 24 scorecards, rubrics and matrices: RAG troubleshooting, AI HR platform selection, task delegation, ROI, risk and frequency
- 11 question lists and scripts: AI automation suitability, one-to-one meetings, AI task delegation assessment
- 10 other working tools and 9 formula and metric sets: context placement decision rules, chat-project-skill decision tree, HR helpdesk skill, people report skill
- 39 models and methods explained with examples: ReAct reasoning and acting, retrieval-augmented generation, Model Context Protocol, human-in-the-loop oversight
- 13 services shown on screen, including Claude, ChatGPT, Codex, n8n, Notion and Slack
Where the tools are
Prompting as construction (2 sections, 61 tools). Prompt architecture, techniques and the move from prompting to agents.
Agents in practice (3 sections, 32 tools). What agents already do across a function, prediction and the first agent of your own.
The platform: projects, skills and connectors (3 sections, 114 tools). Projects for judgment, content and analysis, support projects and packing a plugin.
Finding what to automate (2 sections, 103 tools). Auditing your own work, analysis and communication with AI.
Building and orchestrating agents (3 sections, 110 tools). Your own agents, code-level 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.
When everyone around me started writing about Claude, I registered, ran two or three of my own tasks, used up all the tokens and took the $20 subscription. Then I moved to $100 a month and a week later to $200, and I do not regret it: the time I save grew from 10 hours a week to 20, then 40, and now about 80. When a task takes too long, I ask Claude for a retrospective: what slowed us down, and what to change next time.
How to use the course
Go through the prompting sections first, then set up one project and one agent on a task from your own week. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.
What is included
- 35 lectures across 14 sections, 18 hours
- 112 downloadable resources: lecture presentations and 79 working files
- 404 tools across the lessons, including 13 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
Write down three tasks you repeated last week, then open the section on auditing your work for automation and pick the first one to hand over. Enrol now and start your first lesson today.
