AI upskilling with a prototype
Turn your employees into AI Champions
through real AI upskilling.
An AI hackathon is a 1 to 5 day intensive format in which teams solve a real business problem with modern AI tools. Instead of talks and slides, a working prototype emerges hands-on. The result is measurable AI adoption in daily work, not just a certificate for the personnel file.
Eligible for funding. With a competence record. Official Lovable Ambassador.
Teams that have already hacked with us
Knowledge from trainings and seminars gets forgotten.Applied AI competence through a hackathon stays!
Why upskilling usually fizzles out today
Two developments that make classic AI training worthless within a few weeks.
Why classic AI training is forgotten after 30 days
Most AI training programmes end with a certificate and the good feeling of having learned something. Four weeks later, most of it is gone, because nobody ever applied what they heard. Studies on passive learning show unclear knowledge retention without transfer measurement, and a significant share of participants never apply what they learned. A certificate alone proves attendance, not skill. In the Corporathon, your team learns on a real problem from your own operation and keeps the skill because it applies it immediately.
The market is shifting, from chatbots to agents
AI has long stopped meaning just a chat window you type questions into. Productive teams today build agents that complete tasks on their own, pull data and automate processes. Your team practises exactly that shift in the hackathon, on real tools such as Cursor, Lovable, n8n and Claude Code.
Customer voice
Original posts from participants and teams right after their Corporathon.
Corporathon vs. classic training
Same investment, different effect: knowledge becomes provable application.
| Criterion | Classic training / e-learning | Corporathon AI hackathon |
|---|---|---|
| Output | Certificate, attendance confirmation | Certificate plus a working prototype |
| Knowledge retention | unclear without transfer measurement | measurable through the prototype, usage and handoff |
| AI adoption after 30 days | unclear without measurement | measurable through usage and handoff |
| Proof of ROI | hardly possible | tangible projects and results |
| Format | lectures, slides, videos | hands-on, real data and tools |
| Funding eligibility | often yes, but without a result | yes, with a provable result |
Voices from trainings and hackathons
Feedback from the anonymous participant forms of past Corporathon sessions.
Der Trainer hat im Vorfeld bereits den aktuellen Wissenstand und Interessen / Erwartungen abgefragt um die Schulung dementsprechend besser auszurichten.The trainer already asked about our current knowledge level and interests/expectations beforehand, to align the training accordingly. (translated)
Zusammenfassung der anonymen Teilnehmerbögen: in allen elf bewerteten Kategorien „sehr gut“, Erwartungen erfüllt, Weiterempfehlung ja.Summary of the anonymous participant forms: rated “very good” in all eleven categories, expectations met, would recommend. (translated)
Results that are measurable
Short runtime, broad industry experience, consistently real cases instead of demo examples.
0 days
From kickoff to a working AI result in the Corporathon.
0+
Industries with their own tasks and processes in the programme.
0%
Work on real cases instead of demo examples.
Was du vor der Entscheidung wissen solltest
Rechtlicher Rahmen, Auswahlhilfe und Entscheidungsmatrix — kompakt zusammengefasst.
The EU AI Act and your competence record
Since 2 February 2025, the AI competence obligation under Article 4 of the EU AI Act applies. The Corporathon comes with a competence record for every participant. More at /en/eu-ai-act.
Upskilling, chosen well: a selection guide for HR and leadership
A strong AI upskilling page has to speak to HR, leadership and the business unit at the same time. HR needs proof, eligibility and clean documentation. Leadership asks about impact, not the timetable. The business unit wants to know whether the examples have anything to do with its own daily work. That is why every upskilling page should explain the transfer: a learning goal becomes a challenge, a challenge becomes a prototype, a prototype becomes a competence record.
Decision matrix: course, certificate, bootcamp or hackathon
A course fits when individuals want to learn the basics. A certificate fits when HR needs formal proof. A bootcamp fits when pace and intensity matter. The Corporathon combines these three motives, but it sets the bar higher: something has to run at the end. That makes this domain not just an upskilling catalogue, but a decision aid for teams that genuinely want to anchor AI capability in the company.
Your Corporathon, in just 1 week.
30-minute discovery call: we clarify your upskilling need, pick a real challenge and set the schedule.
The calendar is embedded via Cal.com and only loads external content once you ask for it.
Frequently asked questions.
Short answers to the questions that come up most before booking.
The price depends on the format (Spark 1 day, Ignite 2 days, Blaze 3 to 5 days) and team size. We give you a concrete range in the discovery call and show you how to set it up eligibly for funding.
In many cases, yes. The format is set up as workplace training with proof and documentation. Which grants or education vouchers fit depends on the federal state and company size, and we clarify this in the first conversation.
No. The Corporathon is built for mixed teams. Tools such as Lovable and Gamma work largely without code, and there is close support for the rest. Colleagues without a technical background also end up building a working prototype.
Yes. Every participant receives a certificate for the completed AI upskilling. Unlike a plain seminar, it is backed by a working prototype that the team built itself.
The format can contribute as a role- and context-specific measure for AI competence and generate internal documentation. It does not automatically satisfy Article 4; the company must assess the adequacy of its overall programme for its roles, systems and risks.