I've Been Sitting on a Number
57% of people who finish this course hit their AI goal in under 6 months. Here's exactly what they did differently, and what it means for everyone still waiting.
I’ve been sitting on a number for a while.
57% the real no. is even target these are one that we can track using internal slack and public channels.
That’s the percentage of people who complete this course and break into AI - a new role, a new product, a promotion, within 3 to 6 months of finishing.
Not 18 months. Not “eventually.” Three to six months.
I shared it quietly in our Week 0 welcome session last week with the 180+ people who had already committed. But I keep thinking about the people who weren’t in that room.
Why Most People Stay Stuck
They’re not stuck because they don’t know enough about AI. They know a lot. They’ve read the blogs, watched the demos, and followed the discourse.
They’re stuck because they can’t show any of it.
When a hiring manager asks, “What have you built?” - pause. When a product review asks, “How would you evaluate this in production?” - some non-sense response. When leadership asks, “What’s our AI strategy?” - some random terms(claude code/openclaw).
That pause is the gap. It doesn’t close by reading more or vibe coding your calendar app.
What the 57% Did Differently
They built things. Publicly. With structure. With people who had done it before.
By the end of Week 1, not week six, week one, you have a working backend in N8N(published as an endpoint), a frontend with Claude code on a real address www.mydomainname.com, something a real user can open in a browser. That’s production.
The weeks that follow are live workshops, every single one, built around real case studies you can walk into any interview or leadership review and actually talk through.
Week 1: AI problem framing, your first intelligent agent, vibe coding foundations, prompt engineering, building and connecting N8N backend to Claude code frontend, live in production that 100 users can use.
Week 2: RAG, Agentic RAG, Knowledge Graphs, custom knowledge connectors. The architecture underneath every real AI product.
Week 3: Evals, KPIs for AI agents, benchmarks, red teams. The stuff that separates people who’ve shipped from people who’ve only prototyped.
Week 4: Multi-Agent AI, MCP, orchestration, tools, connectors - Azure AI Foundry Labs.
Week 5: Pricing, GTM, MOAT, fine-tuning with PEFT, learning loops in Claude Code.
Week 6: Pitch Day. You present. With something you built.
Woven through all of it: a PRD built incrementally, a GitHub that fills week by week, a resume updated as you learn, stories you can tell because you lived them.
The Real Cost of Waiting
Those $30 courses teach you the AI of 12 months ago. By the time you finish, the gap between you and the field is wider, not smaller.
We tracked this. Completers were 20 to 30% faster at hitting their goals than people who dropped off. That’s 3 to 4 months of salary. A promotion cycle. In AI right now, that’s a much higher cost that you will pay.
What’s Happening Right Now in Cohort 9
First real class starts this week. Welcome session is done - if you missed it, you missed introductions and logistics. The building starts now.
Mentors inside the cohort from Salesforce, Walmart, NYC OTI, American Express, AT&T and more. Mahesh is in every class live on board with real examples and workshops. Slack community, office hours, a Build in Public framework that turns your weekly work into a public portfolio.
57% of people who’ve done this are already somewhere new because of it.
The next cohort isn’t until winter.
If something is still holding you back, book a quick call with Team Mahesh
Happy to help you decide clearly.
But once class starts tomorrow, we will close completely until August.