Training
Learn from the team that actually ships AI.
Practical training built around production delivery, so teams can apply it immediately.
- 01 · Research
Research and writing. Getting reliable work out of a model, and spotting when it is wrong.
- 02 · Coding
AI-assisted coding. What to delegate, what to keep, how to review it.
- 03 · Review
Code review and quality gates. Keeping standards while volume goes up.
- 04 · Ops
LLMOps and MLOps. What running these systems in production requires.
How it works
From the session to Monday morning.
The session is rarely the problem. What happens on Monday is.
- 01
The session
A good talk, on general examples, and everyone leaves impressed.
- 02
Back at work
Then everyone returns to their own repositories, documents and deadlines.
- 03
Nothing changed
None of which the session touched, so by the second week the old habits are back.
- 04
Written in
What sticks is practice on your own material, with the patterns written into your own checklists.
Great for organizations that want
What teams come to us for, and what they leave with.
AI-assisted engineering
Role-based workshops
Internal capability
Formats
How the sessions run, and where we hold them for you.
Half-day workshop
One focused topic, hands-on, in four hours.
Multi-session programme
A topic a week, with practice in between.
Role-based tracks
Separate sessions for engineers, product and leadership.
On your codebase
Exercises on your own repositories, not toy examples.
On-site or remote
At your office or online, as suits the team.
English or Hungarian
Run in whichever language the team works in.
Next service · Head of AI
What one person cannot cover, a company can.
The competences a Head of AI is hired for are almost never held by one person: company knowledge, domain, engineering, leadership. We take the role on as a company from week one, until the competence is yours.
Open the service
Contact
Did the last AI training change the way anyone works?
Tell us what your team tried and where it stalled.
Get in touch