AI & Automation training for companies
Your team already has Claude and ChatGPT.
The real question is how they use them.
We take teams to the next level — from “ChatGPT as a search engine” to automating real work with n8n, Claude Cowork / Claude Code and AI agents.
We help teams cut routine work and grow without new hires.
Teams we train
- C-Level
- Marketing
- Sales
- Product/BA
- Support
- Operations
- HR, recruiting, L&D
- Digital agencies
- Online schools
What we teach
- Agentic AI
- Claude Cowork
- Claude Code
- n8n
- Make
- Prompting and LLMs
Among our clients
Why train your team in AI and automation?
What a company quietly loses every month without automation
Every department — and almost every person — has their own 7–10 hours a week eaten by small repeating tasks. Often it takes longer to write a spec for them than to automate them yourself.
Run it on your own numbers
Training for a team pays back with the first automation.
This is time your team already spends. It never shows up as a separate line in the budget, so it is rarely counted. But it is exactly the resource you can redirect into growth.
Train the people who own the process
The person who knows the task from the inside builds the automation — no specs, no queue, no context lost along the way. And they stay in your company.
Before and after the training
What changes in your team
Not theory — practical skills and a clear difference in daily work after the training.
| Before the training | After the training |
|---|---|
| 10+ hours a week of manual routine work | Automated: runs in one click or on a schedule |
| ChatGPT/Claude used as a search engine | Systematic use of AI + agentic automation |
| Two enthusiasts use AI actively, the rest plan to “figure it out later” | One shared level and one shared language in the team, people exchange working solutions |
| Any process change means a long queue to the developers | The team changes its own flows. Only complex tasks go to the tech team — and with a proper spec |
| Human factor and mistakes | Minimised by tested workflows |
| The team is focused on operations | The team is focused on strategy and growth |
| Scaling = hiring more people | Scaling by automating existing processes, without growing headcount |
Why MASC Automation School
What we teach is tested in real client work
We build automations for businesses every day — and only what has already proven itself in real projects goes into the training.
Numbers that speak for themselves
- 7years in the automation market
- 4500+graduates
- 9000+projects delivered by our graduates on Upwork
- 70%of Top Rated specialists from Ukraine are our graduates
The MASC ecosystem
- Our ecosystem includes DataBro, an automation agency with 100+ successful client projects. What we teach is not hype — these are solutions businesses already run on.
- The active MASC community counts 1000+ automation specialists. We can easily bring in people with niche expertise.
- The results of our graduates prove one thing: we know how to teach people with any technical background.
- Certified Make partners
- Official n8n partners
- TOP Rated on Upwork
What we specialise in
We don’t talk about automation. We build it every day — and teach your team to do the same
Every program is built on your company’s own processes. That is why the team leaves with a working solution, not with a set of notes.
- 01
Real tasks, not training examples
Before we start, we go through your team’s processes and choose together what to automate during the training. People work on what actually hurts, inside your own tech stack.
- 02
The team builds, it doesn’t just listen
70% of the time is hands-on practice with a mentor. Every participant finishes the program with their own working workflow and presents it on Demo Day. The solution stays in the company, not in a slide deck.
- 03
Practice for leaders too
The strategic program for C-Level ends with more than a vision on a slide. Every leader leaves with a practical framework and an implementation plan.
- 04
A format for your situation, not one course for everyone
A two-day hackathon when you need results right away. An AI transformation sprint when you need to find the tasks with the highest ROI. A program of 6–20 sessions when the team has to become fully independent.
Formats
Three paths to AI transformation in your team
Every program adapts to the real tasks of your business — training on live cases, not on abstract examples.
- Start
Workshops and Intro
Clarity without overload. A good fit for C-Level and for teams who want to understand how to move forward with AI in their own processes.
- 2–4 sessions of 1.5–2 hours
- AI strategy for leaders
- Overview of n8n, Claude Cowork, Claude Code
- 10% of the price counts towards a full program
- Recommended
Custom program
Participants learn AI, Claude Cowork & Claude Code, n8n and agentic AI workflows on their own company cases, or on cases as close to them as possible, and leave with real working flows.
- 3–10 weeks, 6–20 sessions of 1.5–2 hours
- Basics → integrations → AI → real cases
- Demo Day: everyone presents their own workflow
- A personal 30–60–90 day quick wins plan
- Hackathon
AI & Automation Days
Two days of full immersion — and every team leaves with a finished automation. A format for companies that need results right away.
- Up to 7 teams at the same time (5–10 people each)
- 4 mentors working with the teams
- Day 1: onboarding + start on a real case
- Day 2: finishing the work + final presentation
Client cases
Training proven by real businesses
MGID — 11+ working n8n flows already on Demo DayInternational advertising platform · custom programThe team learned to build simple and mid-level automations on its own — some of the flows are already running in production.11+flows on Demo DayOpen the full case
Context
Process automation is one of the company’s strategic goals for the year.
Request — teach the teams to build simple and mid-level automations themselves, and to pass only complex requests to the developers, already with a proper spec.
Team — 10 heads and team leads from compliance, creative, BA and product management.
Challenge — a heavy workload for every participant.
What we did
A custom n8n program from simple to advanced: 14 sessions of 1.5–2 hours, once or twice a week. Participants work on flows for their own real processes.
- 10participants in the program
- 14sessions of 1.5–2 hours
- 11+flows on Demo Day, some already in production
Result
Already on Demo Day the team showed 11+ working flows with scheduled triggers, SQL queries, HTTP requests, code nodes, AI nodes, sub-workflows and error workflows.
A few of them
- Automatic tracking of changes in partners’ compliance policies
- Alerts about creatives stuck in moderation — creatives no longer get lost
- Analysis and triage of Slack messages, with automatic ticket creation
Participant feedback on Demo Day
n8n used to feel like a scary thing. I would open it and think I would never figure it out. Now I like it and I open it happily. It doesn’t scare me at all, and I really can read other people’s workflows and build my own. You really can automate routine processes — that was my main need.
A lot of practice — that is what makes the material stick. A general understanding of nodes, how to add credentials and authentication — that takes the most time, and that is the main thing. Everything is more structured in my head now, I understand other people’s workflows and can already build something myself.
ExpoPlatform — 7 finished flows in 2 daysAI-Powered Smart Event Platform · AI & Automation DaysEach of the 7 teams finished the two days with at least one working flow in n8n or Claude Cowork.63participants from 7 departmentsOpen the full case
Context
20–40% of working time went into routine work. AI was used without any system.
Request — move from occasional use in chats to AI automation.
Team — 63 participants from 7 departments.
Challenge — a fast boost was needed, and every team had a different skill level and different tasks.
What we did
The AI & Automation Days format: two days of full immersion, 7 teams working in parallel, each on its own real case with mentor support.
- 7teams at the same time
- 63participants
- 2 daysto a finished result
- 7flows at the demo session
Result
Every team finished AI & Automation Days with at least one working flow in n8n or Claude Cowork.
A few of them
- Brand mention monitoring + sentiment analysis → Sheet + Chat
- Event-triggered outbound: scrape → enrich → AI message → Pipedrive
- Automatic notifications about product updates through Jira workflow stages
Client feedback
We ended up with working prototypes nobody expected to have by Wednesday evening. Really well done.
Prostor — AI for C-LevelThe largest drugstore chain in Ukraine, 470+ stores · workshop seriesThe company came out with a practical AI adoption framework and with AI assistants built for the leaders’ own tasks.12–15C-Level leadersOpen the full case
Context
The top managers understood that AI adoption was necessary.
Request — build one strategic view of how AI can strengthen the company, and raise the level of AI use inside it.
Audience — 12–15 C-Level leaders.
What we did
4 workshops of 1–2 hours that combined the strategic and the practical level.
- 12–15C-Level leaders
- 4workshops
- 2employees completed n8n training
Result
The company came out with a practical AI adoption framework.
- The leaders built AI assistants for their own tasks
- We worked out a solution for sales data analysis without LLM hallucinations
Client feedback
I will definitely recommend it to colleagues. The training is alive, and I liked the framework and the approach.