In 3 months your team launches AI agents into real business processes
Neuromasterskaya 2.0 — a corporate AI-transformation program. Not a course about ChatGPT: a backward-designed program where your people build working agents on your own data and teach colleagues to run them.
Built for the people accountable for business results
For the CEO
A competitive edge, not «training». Your team starts running AI agents in real processes while competitors are still reading about it.
For the HRD
A program that changes behaviour, not just hands out certificates. Pre/post testing and a board-ready report on what the team can actually do after 3 months.
For the CDTO
Real change in processes: documented, production-ready agents in your own stack (n8n, API, CRM) — not a diploma. Your team learns to maintain and scale them.
Three months, one trajectory: Understand → Build → Deploy
Month 1 — Understand
AI foundations and a real audit of your processes. Sprints 1–2: explain how LLMs work on your own tasks, audit a process, and build your first custom AI assistant for a specific role.
Month 2 — Build
Prompt engineering and automation. Sprints 3–4: build a shared prompt library and assemble a working n8n automation that connects at least two of your tools (CRM / Telegram / Sheets / Email).
Month 3 — Deploy
A production agent and knowledge transfer. Sprints 5–6: design and pilot an AI agent on real data, present it on Demo Day, and run a workshop so colleagues can use it. Followed by a 30-day check-in sprint.
What each participant can do by the end
Run an AI audit of a business process and produce 5+ concrete use-cases for their role
Build a custom AI assistant for a specific role and document a real task run
Write and compare prompts (zero-shot, few-shot, chain-of-thought) and pick the optimal one
Assemble an n8n workflow integrating 2+ tools and hand it to a colleague to reproduce
Design an AI agent with tools, memory and error handling, and run a pilot on real data
Present the final project to leadership and run a 30-minute workshop for colleagues
Why 2.0 is built differently
| Typical AI course | Neuromasterskaya 2.0 | |
|---|---|---|
| Design | Content-first: what we'll tell you | Backward Design: what you can do |
| Sprint goal | Get familiar with tools | Documented Learning Outcomes per sprint |
| Assessment | «Submitted = accepted» | Rubric per task: done / well-done / not-done |
| Audience fit | One program for everyone | 3 tracks: managerial / technical / operational |
| Accountability | Mentor reminders | Systemic rule + automated bot |
| Final outcome | Certificate | Working AI agent in production |
| After the program | Nothing | 30-day check-in sprint |
Two ways to run the program
Core
- Full methodology and learning materials
- 2 live sessions per sprint
- Rubric-graded assignments
- Pre/post assessment with skill-gain report
Extended
- Everything in Core
- Daily Telegram support · 30 days
- Monthly CEO check-in
- 30-day post-program sprint
Frequently asked
How do you measure the result?
We already tried AI training and it didn't stick.
Will it be too basic for our developers?
Can it integrate with our systems?
How long and what format?
Ready to put AI agents to work in your team?
Leave a request and we'll put together a proposal for your industry, team profile and stack — including a Demo Day plan for your leadership.