Private Team Training

Train your team on your architecture, not a demo tenant.

Small-cohort AI and data analytics training for 8–12 technical people. On-site or live online, taught by architects who build these systems for a living, using labs we build around your actual stack.

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Private Team Training
Why private, not public

A public course teaches the tool. A private one teaches your system.

When the whole room works at the same company, the training stops being generic on day one, examples come from your data, questions get specific, and nobody has to translate afterward.

Your data, your constraints

We build the labs around your architecture and governance rules, so the examples aren't hypothetical and neither are the answers.

Questions people won't ask publicly

Nobody raises the messy legacy problem in a room full of strangers. In a private cohort, that's usually the most useful hour of the week.

The team levels up together

Shared vocabulary and shared standards across the whole group. Sending three people to a public course rarely changes how a team works.

Scheduled around your delivery

Full days, half days, or two afternoons a week for three weeks. We fit the sprint calendar rather than the other way round.

Content you keep

Lab guides, code, slides, and recordings stay with your team, usable for onboarding the next engineer who joins.

Cheaper past six people

Per-seat public pricing stops making sense around the sixth attendee. At 8–12, a private cohort is usually the less expensive option.

Cohort size

Why we cap it at twelve.

Twelve is the largest group where one instructor can still get to every screen during a lab. Past that, the people who are stuck stay stuck, and the session quietly turns into a lecture.

Below eight, you lose the discussion — the disagreements between a data engineer and an analyst about how something should work are often where the real learning happens.

Larger group? We’ll run parallel cohorts or bring a second instructor rather than stretch one past twelve.

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