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##INLINE12## ##INLINE13##Technical AI training teaches people to build actual solutions with AI: agents, retrieval on company documents, automated flows, and AI-assisted coding. Bots & People runs it hands-on, on the tools the company has approved and on its own data, and every session ends with something published.
Who ends up in which programme
Each group builds something different
Citizen builders
These are business people, roughly the top 20%, and the largest of the three groups. They learn to build agents and automated flows with low-code tools, and they leave with a fix built for their own process.
Technical teams
This room is for developers and for data, platform and IT teams. They learn multi-file changes, refactors, tests, reviewing AI-generated code, and building the deeper solutions the citizen builders hand over.
Project teams
This room is for a department team with one real problem. Six to twelve people take four working sessions and put two or three solutions in production, with the impact measured before anyone presents it. This is the bootcamp, and the blueprint has the full plan.
How a citizen track could work
Two modules everyone takes, then three they choose
Each module is a standalone hands-on workshop of three to four hours, and a typical builder takes five of them.
Core · everyone takes both
Electives · pick by tool focus
We adjust these contents fully to your company’s needs.
| Building agents | Automating work | Shipping safely |
|---|---|---|
| Agent basics: build, configure and publish a first agent for a real task | Automated flows with triggers, actions and approvals, measured against a baseline | Testing and analytics: test systematically and read the dashboards |
| Grounding an agent on approved sources, so answers are accurate and cited | Prebuilt AI models for document and form processing, and prediction | Governance: guardrails, data-loss policies, environments and approval paths |
| Orchestrating several agents with hand-offs, to complete a multi-step task | — | — |
The technical team track
We work in your repo, on tasks from your backlog
Most technical training runs on a clean demo project, and the skills stay there. We run on your codebase with tasks from your actual backlog, so what people learn transfers the same day and everyone leaves having merged something real.
Claude
ChatGPT Enterprise
Four things this track covers
What we need two weeks ahead
We need repo access or a sandbox, one engineer to pick the tasks, and a decision on which assistant you are standardising on.
Who runs it
The trainers build for a living
All three build AI solutions outside of training and are very hands-on.
This works for some companies and not for others
Good fit
Not a good fit
We're here to answer all your questions
Yes. A sandbox with a representative slice works, and so does an on-site session on your own machines where nothing leaves the building.
We teach whichever tools you have approved, from Copilot Studio, Power Automate and AI Builder to Langdock, ChatGPT Enterprise, Claude, GitHub Copilot and n8n. We are vendor agnostic.
Yes. They ask the hardest questions, and they get to test the limits on their own tasks during the session.
Individual task time changes the same week. Anything measurable at team level takes a quarter, and it is hard to attribute cleanly.
Citizen builders are business people who fix their own processes with low-code tools. The technical track puts engineers to work in a real codebase.
Send us a repo and two tasks from your backlog
We will tell you what a day would look like, and whether a workshop or a bootcamp is the right shape for it.
The call takes thirty minutes and goes straight into a calendar. You talk directly to a learning consultant.