[100% Off] Ai Adoption, Change Management: Prompts, Agents, 350+ Tools

Roll out AI from pilot to scale: AI transformation, prompt engineering, process automation, upskilling, Kotter

Added on October 12, 2026 IT & Software 5 min read

What you’ll learn

Take away 350+ tools: procedures
question lists
AI prompts
templates
checklists and matrices
plus 14 downloadable tool files,Put your team on the four levels of AI adoption with the downloadable AI adoption level check,See 57 services and apps on screen
from a quick look to a detailed demo: ChatGPT
Claude
n8n
Notion
Miro and more,Write prompts that hold in production with a seven-block prompt template
RISEN
CRISPE and a prompting technique selector,Build an assistant and an agent with a six-block system prompt template
an AI workflow design procedure and an onboarding agent blueprint,Decide what to automate with AI automation suitability questions and an AI risk-reversibility matrix,Fix the process before you automate it with a process waste detection checklist
value stream mapping and a process improvement procedure,Teach people to use AI with a learning design checklist
a six-step learning transfer procedure and a training evaluation evidence matrix,Lead the change with the Kotter eight-step change model
a change vision quality checklist and a change resistance response matrix,Learn with Mike
the #1 HR instructor on Udemy: 1,800,000+ enrollments
170,000 students
about 200 books on Amazon

Requirements

No programming or data science background required,Experience of working in a team or leading one is helpful,Access to ChatGPT or Claude; the free plans are enough for most prompts
and some lessons show paid features,Nothing else to buy for the course itself: 14 tool files and the presentations are attached to the lectures

Description

This course contains the use of artificial intelligence.

354 tools for AI adoption and change management in one course: 208 ready-to-use procedures, question lists, AI prompts, templates, checklists and matrices, 75 models and methods, 57 services and apps shown on screen, and 14 downloadable tool files.

Open a lecture, take the tool, use it in your own rollout.

Why AI pilots do not scale

A company buys licences. A few enthusiasts get great results. The others open the chat twice and go back to the old way. A broken process is automated and becomes a fast broken process. Nobody was taught, nobody knows what is allowed, and the managers themselves do not use it. The technology works. The adoption does not, because adoption is a change in how people work, and change has its own rules.

What changes after this course

You know where AI saves time in a function and where it does not. Your prompts give the same quality every time. You have an assistant with your company’s knowledge and the first agent with a person in the loop. Processes are mapped and cleaned before they are automated. People are trained and supported after the training. And the rollout is led as a change: with urgency, a coalition, a vision and quick wins.

What is inside: 354 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.

208 ready-to-use tools inside the presentations:
62 step-by-step procedures and workflows: AI workflow design, candidate screening workflow, process improvement, six-step learning transfer
45 question lists and scripts: AI automation suitability questions, problem definition questions, business context diagnostic questions, change communication planning questions
39 ready AI prompts: corporate HR assistant system prompt, tree-of-thoughts candidate evaluation, exit reason classification, training effectiveness analysis prompt pack
23 templates and sample documents: seven-block prompt template, six-block system prompt template, project charter, communication plan template
20 checklists: knowledge upload, process waste detection, learning design, change vision quality
16 scorecards, rubrics and matrices: AI risk-reversibility matrix, RAG troubleshooting matrix, prompting technique selection matrix, change resistance response matrix
3 other tools
75 models and methods explained with examples: chain-of-thought prompting, retrieval-augmented generation, Model Context Protocol, human-in-the-loop, ADDIE, Kotter eight-step change model, rider-elephant-path model
57 services and apps shown on screen, from a quick look to a detailed demo: ChatGPT, Claude, n8n, Notion, Miro, Lucidchart, Confluence, ClickUp, Fliki and others
14 downloadable tool files: AI adoption level check, Prompt Architecture Toolkit, prompting technique selector, advanced HR prompt library, knowledge audit workbook, onboarding agent blueprint, personal AI stack canvas and others

Where the tools are

Where AI works (4 sections, 113 tools). The landscape, tools and competencies, then AI function by function. These lessons show adoption on the example of the HR function: selection, onboarding, performance, training, rewards, culture and analytics.
Prompts, context and agents (2 sections, 61 tools). Prompt architecture, advanced reasoning, Projects, RAG, memory, MCP and n8n. 13 tool files are here.
Processes before automation (3 sections, 77 tools). Waste, mapping, architecture, optimisation tools and a culture of improvement.
Teaching people to use it (4 sections, 94 tools). Diagnosis, design, delivery, transfer, support, evaluation and learning strategy.
Leading the change (2 sections, 32 tools). Why change fails, Kotter’s eight steps, emotion, vision and making it stay.

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 adopt AI in my own business first. Recently I had to change some information on my academy website: 550 course pages in different languages. Earlier I would have done it by hand for several days. I wrote a detailed instruction for an AI coding agent, gave it a browser, started it and only controlled how it worked. It worked for about a day and did the whole job from start to finish. I also learned to set rules. At one stage I noticed that the assistant sometimes invented links. I wrote it down for it clearly: never invent links, always ask me; never invent facts and numbers, always look them up. Adoption is as much about rules as about tools.

How to use the course

Start with the first lecture and find the level of AI adoption of your team. Then take the part you miss most: where AI works, prompts and agents, processes, training people or leading the change. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included