In 3 months your team launches AI agents into real business processes
Neuromasterskaya 2.0 — a corporate AI-transformation program for people: this is where your team learns. 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?
Pre/post assessment with a skill-gain score, rubric-graded assignments, and a per-participant report you can take to your board. Each participant finishes with a documented, working AI agent.
We already tried AI training and it didn't stick.
2.0 is rebuilt around the exact reasons programs don't stick: no accountability, no rubric, no pre-assessment. It adds a systemic accountability rule, rubric grading, profile tracks and a 30-day post-program sprint.
Will it be too basic for our developers?
There's a technical track with deeper Sprints 3–5: n8n, APIs and agent architectures. The pre-assessment routes each person to the right track.
Can it integrate with our systems?
Sprint 4 connects n8n to any API or CRM that supports a webhook. The final agent runs in your own stack and your team documents it for maintenance.
How long and what format?
12 weeks, 6 two-week sprints. Online-first with 2 live sessions per week (90–120 min) plus self-paced materials; optional offline kickoff and finale days. Group of 12–20, one mentor per 6–8 participants.
How is this different from the Studio of AI Employees?
Neuromasterskaya 2.0 is a program for people: your team learns and builds the agents itself. If you need a ready-made AI employee with no people-training, that's the Studio of AI Employees (flagship Hermes) — we train the agent around your processes and hand it over ready. See /neuro-staff.
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.