AI training
AI enablement for teams that already have the tools but don't see the impact. No full day away from work: one hour online a week and a short task on your own work in between. Before we start, we map where your time goes today, so there is something to compare at the end.
Led by Jakub Jirák, a principal software engineer who has trained over ten thousand people.
Why this format
You've seen it too
One intense day pulls people out of work, overwhelms them and fades within three weeks. An hour every week means more chances to try things and ask about what didn't work in between.
Copilot, Claude, ChatGPT Enterprise: bought and handed out. But “what did it bring us?” stays unanswered because nothing was measured before rollout. That's why our programme starts with measurement, not the first lesson.
Everyone got access, nobody got guidance. Part of the team uses the tool daily, part hasn't touched it, and the gap grows every month. That's money you're already spending.
Topics
The number of lessons and choice of topics depend on who is in the group and what the team should do differently afterwards. Sometimes a few lessons on one topic are enough, sometimes a longer programme makes sense.
Shown on your kind of code and your pipeline, not a demo project.
Practised on your own work: your documents, reports and data.
How it works
90 minutes on site, free. We go through the areas of your work and measure how much time things take today.
A written output with your numbers: where realistic savings are, in what order to tackle them and what we would not bother with.
One hour online a week in a fixed slot, number of lessons based on goals. A short task between lessons, recordings for absentees, a channel for questions.
At the end, a comparison against the baseline and a summary for leadership. Not a feeling, but what could be measured.
We agree the metrics during mapping, before the first lesson, so there is nothing to argue about at the end. Most often:
Who leads it
Jakub Jirák
Principal Software Engineer
Over ten years in enterprise development, architecture and automation. Author of twelve professional books on software, automation and AI and ten plugins published on the JetBrains Marketplace. Built and later sold his own product, a GPU-accelerated HTJ2K codec for Apple Silicon.
He brings into teaching what he does daily in production: architecture, performance, security and delivery automation.
From delivered projects
No obligation and free. We go through the areas of your work, calculate what things cost in time today and send you an opportunity map, including what we would not tackle. We build the scope and price of the cycle around your goals and group size and send them with the map.
The results above come from specific delivered projects and are not a guarantee of a comparable result in your environment. Scope, metrics and expected benefit are agreed together during the initial mapping.
Keep going