AI Adoption, Change Management: From Pilot to Scale

What You Will Learn:

Choose which processes to automate first, using an assessment of readiness rather than enthusiasm
Describe a process in BPMN before automating it, so the tool does not accelerate the confusion
Structure a prompt from seven blocks and apply chain-of-thought and tree-of-thoughts where they earn their time
Build context with Projects, RAG and connectors so the assistant answers from your documents rather than the internet
Design an agentic workflow with MCP and no-code tooling, and decide where a human must still approve
Train people on a new tool so the knowledge survives the week after the session
Evaluate adoption honestly: what to measure, what cannot be measured, and how to report it
Run the rollout through Kotter’s eight steps, including the resistance that is really about status
Learn alongside Mike’s 1.6 million students from 185 countries
Get the author’s experience from Preply, Wargaming, iDeals and Alfa-Bank

Learning Tracks: English

Add-On Information:

Overview: Beyond the AI Hype Cycle

Let’s be honest: most corporate AI initiatives are currently stuck in “pilot purgatory.” We’ve all seen it—a flurry of excitement over a ChatGPT demo that eventually fizzles out because nobody figured out how to bake it into the actual workflow. This course, AI Adoption, Change Management: From Pilot to Scale, is the antidote to that specific brand of frustration. It isn’t just another tutorial on how to generate a generic image; it’s a masterclass in AI transformation for people who actually have to deliver results.

What sets this apart from the sea of “AI for Business” fluff is the instructor’s pedigree. Learning from someone who has navigated the internal machinations of Preply, Wargaming, iDeals, and Alfa-Bank gives the content a grit you won’t find in academic courses. You aren’t just getting theory; you’re getting the battle scars of a professional who has managed AI adoption across massive, diverse teams. With over 1.6 million students globally, the delivery is polished, but the insights on automation and ROI are refreshingly cynical where they need to be. The course forces you to stop looking at AI as a magic wand and start looking at it as a structural overhaul.

Get Instant Notification of New Courses on our Telegram channel.

Note➛ Make sure your 𝐔𝐝𝐞𝐦𝐲 cart has only this course you're going to enroll it now, Remove all other courses from the 𝐔𝐝𝐞𝐦𝐲 cart before Enrolling!

Prerequisites

You don’t need to be a Python wizard or a data scientist to get value here. This is designed for beginner to advanced professionals, though it hits the “sweet spot” for mid-to-senior leaders. A basic understanding of what Generative AI can do is helpful, but the real prerequisite is a foundational understanding of your own company’s pain points. If you understand how a project moves from A to B in your office, you’re ready to apply these job-ready skills.

Skills & Tools Covered

This curriculum is a dense stack of industry-standard tools and frameworks. You’ll dive deep into:

Process Mapping: Using BPMN (Business Process Model and Notation) to visualize workflows before touching any code.
Advanced Prompt Engineering: Moving beyond simple queries to a seven-block structure, utilizing Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT) logic.
Architectural Integration: Building RAG (Retrieval-Augmented Generation) systems, Projects, and connectors to ensure AI talks to your private data, not just the public internet.
Agentic Workflows: Designing autonomous agents using MCP (Model Context Protocol) and no-code tooling.
Change Management: Applying Kotter’s eight steps to handle the human side of AI transformation.

Career Benefits & Job Roles

If you’re looking for career growth, this is the definitive certification prep for the “AI Implementation Lead” or “Head of AI Strategy” roles that are popping up everywhere. Traditional change management is being rewritten, and this course puts you at the forefront of that shift. Whether you are a Project Manager, a COO, or a Tech Lead, these real-world projects give you a portfolio of frameworks to prove you can handle upskilling a workforce without losing productivity. It’s about becoming the person who doesn’t just “use” AI, but “architects” how an entire department uses it.

Pros

The “Anti-Chaos” Approach: I loved the emphasis on BPMN. The course insists you describe a process before automating it, ensuring you don’t just “accelerate the confusion.” It’s a sober, professional take on automation.
Sophisticated Prompting: The move from basic prompts to agentic workflows and MCP is where the real value lies. Learning when to apply Tree-of-Thoughts versus when it’s a waste of compute/time is a high-level nuance rarely taught.
Honest Metrics: The section on ROI is fantastic. It teaches you what to measure, what is honestly unmeasurable, and how to report to stakeholders without overpromising.
The Human Element: Using Kotter’s steps to address resistance—specifically the “status” threat that AI poses to middle management—is a masterstroke of psychological insight.

Cons

Heavy on Documentation: If you’re a “move fast and break things” type, the insistence on BAG (BPMN) and structured readiness assessments might feel slow. It’s a rigorous methodology that demands a level of discipline some might find tedious, even if it is necessary for AI adoption at scale.

Enroll for Free