AI-Native Practitioner Programme

Two calendars, same work, after a shared setup week. Standard pace: one Monday sync and about 4 hours+ a week, over 10 sprint weeks. Intensive pace: Monday and Thursday syncs and about 8 hours+ a week, over 5 sprint weeks. The real load depends on how much you already know the role and how well you use AI. Intensive is a real hours commitment, not a faster certificate. If life interrupts, the weekly roadmap review adapts the plan, and you can pause without penalty; it's in the terms, not a favour.

You tell us on the application which pace you can commit to: 10 sprint weeks at ~4h/week, or 5 at ~8h/week. That is used to group people with compatible availability. The pace itself is confirmed by the whole pod together in the setup week, not individually. A PM on a 5-week calendar cannot sit next to an engineer on a 10-week calendar — the work depends on each other in the same sprint. If the pod cannot agree, it defaults to 10 sprint weeks. Same price, same artefacts, same launch review either way.

Before kickoff we match pods by role, level, and the pace you can sustain. In the setup and alignment week you meet, write a team charter, confirm one pace, and look at the proposals together: AI Marketing CRM, AI Recruiter, Travel Planner, or a teammate's own idea. You agree how you will decide. You do not start defining the product yet. Cohort 1 taught us people freeze on 5CQ and product selection until the room is aligned.

Sprint 1 is when execution starts: 5 Customer Questions and product selection, with a team that already knows how it works together.

The roadmap adapts. Every week the pod reviews the plan and re-shapes it around the team's needs. A delivery might slip to keep the quality of the work high, exactly as it would in a real team, while we work strategic workarounds to still meet the target launch date whenever possible.

The concepts, yes. The constraints, the team, the deadline, and the shipped evidence: no. You've had free access for two years. What did you ship?

A course teaches frameworks. A bootcamp teaches you to code. This programme makes you ship as a real cross-functional team, under senior review, with feedback on whether your work meets a professional bar. You leave with real artefacts and the judgment to defend them.

There is also a newer option in the market: agencies now rent out ready-made "AI-native pods," teams of three to seven who build for your company as a service. That can solve a short-term delivery problem, but it leaves the capability with someone else's team, not yours, so the dependency lasts as long as the invoice. This programme is the other way round: you and the people in your pod build the capability yourselves, so it stays with you after the cohort ends.

Standard is €590 and Leadership Track is €790. It's cheap because it's new but the quality is high. The review bar doesn't scale with the invoice.

You do. Every artifact you produce is your intellectual property. WonderLead has no commercial rights over your work.

Use a free product for the programme. A paid product would need IP alignment and contracts with your teammates. Any direction toward paid can wait until later, once the team agrees.

Yes. Senior engineers, PMs, designers, researchers, and strategists can apply on the Mentor track at no cost. You still pick the craft you bring so we can match you to a pod. In return you attend team sessions, run mock bar-raiser reviews, and give individual feedback at graduation. Approval is still required; it is not an automatic seat.

Full refund through the end of Sprint 1, no questions asked. After that, instalments simply stop if you withdraw: you never pay for sprints you don't attend.

Alumni network, your permanent Registry entry, and monthly accountability sessions. The artifacts keep working for you in every interview after.