We teach teams and individuals to build AI agents independently

To the dedicated Allegro consulting and training service, not this page. That one is focused entirely on the Polish market — company paperwork, payment systems, logistics, listings and Allegro Ads — and is delivered by people who run launches there. This page is about learning to build AI agents, automation and analytics yourself — as a team or on your own.

Both exist. A team is taught as a closed group: live online sessions on your processes, and between sessions the team works on its own tasks and gets a review of what came out. The personal format is one-to-one, at your own pace and toward your own goal: switching specialisation, building a first solution to sell, or understanding AI as the person who signs off on it. Session recordings stay with you.

Yes, on the personal track: it is built on existing tools, integrations and data, and the skill that matters is framing the task and checking the result, not writing code from scratch. The engineering programme for teams goes deeper and does need people who can read and write code in your stack. Which track is yours is clear after the first conversation, and we say plainly if neither fits.

Enough engineering to read and write code in your existing stack; we teach the agent and automation layer on top of that. The sessions run on your real tasks rather than exercises, so the first things your team builds are things you actually needed. If the gap is larger than that, the audit will say so before you commit to a programme.

Online, over a video call, prepared in advance. You send the questions and, where the answers depend on it, access to the systems involved, so we arrive with specifics instead of spending the session gathering context. We work through your processes, data and goals, and the recording stays with you to share internally.

Count on four to six hours: the live session plus work on your own task between sessions. Less than that and the pace stretches out, which is fine — the programme runs at your pace, not on a cohort timetable. The only deadlines here are the ones you set yourself.

Usually two to three months, and often longer, depending on the stack and how loaded you already are. We are not aiming at a certificate but at a working result: you building and running systems without us. That means live sessions on real tasks, then reviews of what you ship until the reviews stop finding anything.

Full training starts at $2,000 for the programme with one project run end to end: the process review, the live sessions, and support until you are independent. A one-off strategy session and a process audit with a written plan cost less and are quoted separately; custom formats are quoted per task.

Describe your team (or yourself), your stack and the goal, and we come back with options and pricing within one business day.

Yes. We work under a contract and invoice the company; for sole traders and individuals it is the same contract. Payment schedule and milestone split are agreed before the start, so nothing is a surprise mid-programme.

External services, billed to you directly rather than through us: a paid AI assistant plan (agent work is more comfortable on the higher tiers) and API usage. Production adds hosting — usually tens of euros a month at the start.

The exact figures depend on the volume of your data and the number of integrations, and we work them out before you pay for anything.

Models change, the architecture does not. We do not teach the buttons of one interface but how agents, tools, data and access boundaries fit together, and how to get that into production. Marketplace interfaces meanwhile live for years: Amazon SP-API and the Allegro REST API move in versions with deprecation windows, not overnight.

A working system on your own processes rather than a set of notes: the solution (or several), its documentation, the session recordings, and the understanding of how to extend it. For a team there is also the automation plan that shows what to take on next.

There is no state-recognised diploma here and we do not promise one. What is left at the end is the work itself: solutions, documentation and recordings. If a document is needed for internal procedures, we issue a letter describing the programme — scope, topics, and what was built.

The programme is led by Vladislav Mykhailenko, founder of SellerUp, who has spent years taking brands onto marketplaces and comments on e-commerce for Forbes. The technical parts run together with the engineers who build these integrations in production. A request from this page reaches Vladislav personally.

We do not hand out clients — promising someone else’s orders would be dishonest. We teach you to find them: how to package the service, what to show a seller, how to price it, and how to run the project after launch. The work itself is on real tasks: yours, or briefs from the agency’s own practice if you do not have any yet.