AI Program · 6 online sessions · in Czech

AI Augmented

Six Monday mornings from now you run your own AI setup: an agent that does your research and planning, two skills built for your recurring work, and an assistant that drafts what you write. You stop being the person on the team who nods along.

  • We move you to practice. No theory talks.
  • We make AI work for you, and save you time.

Your company trained the engineers on AI. It skipped the managers. Now the team is faster than you are, and you still have to lead by example. This cohort closes that gap in 18 hours, on your real work, with 11 peers in the same spot.

6 Mondays · 09:00–12:00 · 19 Oct – 23 Nov 2026 · online · in CzechLed by Petr Glaser · Cohort capped at 12, runs from 6. Closes when full.

64,000 CZK per seat · you pay for yourself | 98,000 CZK per seat · your company pays

Engineering managers working on laptops during an Engineering Leaders course
Trusted by
RohlikMicrosoftKiwi.comFTMO

Not for

  • People who want to roll AI out across several teams. That is AI Managers, the next level.
  • Engineers who already run agents in production and want peers, not lessons. That is AI Masters.
  • Anyone looking for a prompting cheat sheet. You build things and run them in each session.

Who it is for

  • Engineering managers and team leads who lead people who use Copilot, Claude or Cursor daily, and who have not built anything with these tools themselves.
  • Managers with a light technical background who need to understand how AI work gets done, well enough to plan it, review it and explain it upward.
  • Senior engineers who slipped behind while the juniors ran ahead, and who want to fix it privately, before it shows.

The program

6 sessions × 3 h, online, Mondays.

  1. Solve one real problem with AI, properly.

    You bring a problem from your week. Together you run it through planning and research with the model doing the work and you doing the judging. You leave with the loop you will use daily after this, and the first answer you can defend.

  2. Build your first skill.

    You pick one recurring task and turn it into a skill. Then you run it on next week’s version of the task. You leave with one thing that runs on its own.

  3. Build your first agent, watch it work in parallel.

    You give an agent a task with a goal and a stop condition and watch what it does when you’re not steering. Then Petr shows several agents on one job and where that saves hours or multiplies mistakes. You leave with a running agent and a clear view of what parallel work is for.

  4. Validate. Know when the model is wrong.

    You write the checks for your own outputs: what to verify, what to sample, what to trust. You leave with a validation routine you can explain to your team, and a list of the mistakes your tools make most.

  5. Processes and workloads.

    You take one messy process and write it down so the model can run it with you, step by step. You leave with one process running and the template for the next.

  6. Your assistant, your voice.

    You set up a personal assistant with your context, then use it to draft an update and a difficult message. You leave with both drafts and a setup you keep tuning after the cohort.

AI1 · Dates

6 Mondays · 09:00–12:00 · 19 Oct – 23 Nov 2026 · online · in Czech

Led by Petr Glaser · Cohort capped at 12, runs from 6. Closes when full.

  1. 09:00–12:00 · Prague time

    Solve one real problem with AI, properly.

  2. 09:00–12:00 · Prague time

    Build your first skill.

  3. 09:00–12:00 · Prague time

    Build your first agent, watch it work in parallel.

  4. 09:00–12:00 · Prague time

    Validate. Know when the model is wrong.

  5. 09:00–12:00 · Prague time

    Processes and workloads.

  6. 09:00–12:00 · Prague time

    Your assistant, your voice.

Engineering leaders in conversation during a workshop break

From where you are, to where you walk out.

Before

A problem lands on your desk, you open a blank chat window, type a question, and get a plausible answer you don’t trust.

After

You run a plan-then-research loop: the model plans, you correct the plan, the agent researches, you validate. The answer comes with its sources.

Before

Each recurring task (weekly report, 1:1 prep, incident summary) starts from zero.

After

Two of them are skills you built once and run in a minute.

Before

One task at a time, waiting on the model like it’s a slow colleague.

After

You have seen agents work in parallel and you know which of your jobs that suits.

Before

You know AI makes mistakes, so you either check everything or trust everything.

After

You have a validation step for each kind of output and you know which mistakes to look for.

Before

Your update to the director is written on Sunday night.

After

Your assistant drafts it from your week’s notes on Friday afternoon, and you edit instead of write.

What you walk out able to do.

  • Take a real problem from your week and run it through a plan → research → implement → validate loop, with the model doing the legwork.
  • Build a skill for a recurring task and an agent with a goal and a stop condition, and run both without help.
  • Validate AI output with a checklist you wrote for your own work, so you can tell a good result from a fluent one.
  • Turn one messy process (onboarding, incident review, planning) into a written workload the model runs with you.
  • Keep a personal AI assistant that knows your context and drafts your updates and difficult messages for you to edit.
A manager reviewing AI-generated output on screen during a workshop
The energy of a packed Engineering Leaders workshop
Close-up of engineering leaders working together at a session
A large audience of engineering leaders at an ELC event

Format

Format and price.

  • 6 online sessions of 3 hours, Mondays 9:00–12:00 (Prague), 19 October to 23 November 2026. In Czech, in Claude; the free tier is enough. If your company runs a different tool, tell us before session 1 and we say whether it fits.
  • Led by Petr Glaser (bleeding.dev). Marian Kamenistak opens and closes the cohort.
  • Cohort capped at 12, runs from 6. Go or no-go on 9 October; below 6 you get a full refund.
  • Book by 1 October and you get an extra 1:1 hour with Petr to build your own AI use case, worth 430 EUR.
  • Paid on reservation via Stripe. After session 2 you rate the cohort in a two-question form; an average under 7/10 means a full refund, no questions.
You pay for yourself64,000 CZK per seat
Your company pays98,000 CZK per seat

You pay for yourself: Invoice in your name. One or two seats. Your company pays: Invoice to the company with its VAT ID, entered at checkout. Up to 12 seats in one booking.

Book by 1 October and you get an extra 1:1 hour with Petr to build your own AI use case, worth 430 EUR.

Refund rule

When you pay
On reservation, via Stripe
Who scores it
You, after session 2, in a two-question form
Average under 7 out of 10
Full refund, no questions
Fewer than 6 seats by 9 Oct
The cohort does not run, full refund

Cohort capped at 12, runs from 6. Closes when full.

Notify me about the next cohort

Prices in CZK, excl. VAT. Paid on reservation via Stripe.

Faculty

Our Lecturing Masterminds

Our team is unique. We are not consultants selling academic theories or empty certificates. They have built multiple unicorn companies and helped organizations scale from startups to scale-ups to established corporates.

Marian Kamenistak, Engineering Leaders Community

Marian Kamenistak

Engineering Leaders Community

Time to Value, Release cycle, Software talent, Team autonomy, Scalability

Vojta Tůma, Keboola

Vojta Tůma

Keboola

AI in Business, Data Strategy, Analytics, AI Adoption

Petr Glaser, bleeding.dev

Petr Glaser

bleeding.dev

AI Agents, AI in Engineering

A packed room at an Engineering Leaders meetup
An engineering leader presenting to a full room

What nobody else offers

The parts a competitor cannot copy in a quarter.

01

Built for the manager, not the engineer.

Most AI trainings in Czech companies are for the people who write the code. This one is for the person who plans, reviews and explains their work.

02

You build in each session.

A skill, an agent, a validation routine, a process, an assistant. Five things that keep running after 23 November.

03

Your problems, on your own work.

Each exercise starts with something from your week. The generic demo stays on YouTube.

04

Twelve peers in the same spot.

Managers who fell behind rarely say so at work. Here all twelve did, and none of them reports to another.

“Your team got the AI training. You got the Slack thread about it.”

Proof, honestly labeled

What we can stand behind today.

  • Run inside the Engineering Leaders community, 3,300+ members across Prague, Brno, Bratislava and Krakow.
  • Companies that trained their managers with us: Rohlík, Košík, Mews, Kiwi.com, Česká spořitelna, Trezor, and Apify.
  • 9.3/10 average from 21 participant reviews across the Academy programs this one grew out of.

This is the first run of AI Augmented. The scores and logos above come from the Academy programs it grew out of, not from this cohort. First-cohort reviews replace this section when they land.

Questions

The things buyers actually ask.

Do I need to be technical?

No. You need to write clearly and to open a terminal when we tell you to. The rest is in the sessions.

Which tools do we use?

Claude, free tier. If your company pays for Copilot or Cursor, bring that too; we say before session 1 what fits.

What happens if I miss a Monday?

The session is recorded for the cohort. Watch it before the next one; the exercise waits.

What if the cohort does not fill?

It runs from 6 people. We decide on 9 October and refund you in full if it does not run.

Can my company pay for the seat?

Yes. Enter your company details at checkout and Stripe issues the invoice.

AI Augmented

Seats are limited to keep every room interactive. Register, or book a private cohort for your team.

Ready for the full operating rebuild? The AI-Native Engineering Manager →

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