TechWolf AI-First Bootcamp: The Two-Day Program TechWolf Open-Sourced
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The techwolf ai-first bootcamp started as an internal experiment. TechWolf, a Belgian skills intelligence company, picked eight keen employees from non-technical teams and spent two days rebuilding their real work with AI.
It worked well enough that the company open-sourced the whole playbook in February 2026. The announcement post, by co-founder and CTO Jeroen Van Hautte, said the questions kept coming after the first run, so any company can now read how it ran and copy the format.
At AI Holic, we cover how AI changes real jobs. This guide explains what the bootcamp is, how the two days ran, and what your team can take from it.
What the TechWolf AI-First Bootcamp Is
TechWolf sells skills intelligence software. Its platform infers what skills employees actually use by reading real work data, instead of asking people to rate themselves.
The bootcamp was the company’s own training answer to a simple problem. Its staff sold AI driven workforce tools, but most employees were not yet working in an AI-first way themselves.
So the founders made enablement a leadership priority. AI fluency was written into roles and career frameworks, and the bootcamp became the engine that spread it.
How the First Two Days Ran
The format was deliberately small and practical. Eight early adopters were selected from teams such as HR, marketing, product, finance and customer success.
Across two days, the group mixed theory with guided exercises and a hackathon. Instead of sample tasks, they re-engineered their own day-to-day work using the most capable AI tools available.
Six of the eight came out of the two days as power users. The sessions were recorded and documented, then turned into self-service onboarding material for the rest of the company.
What the Open-Sourced Playbook Teaches
In February 2026, TechWolf published the playbook for anyone to use. The post announcing it was titled Why We’re Open-Sourcing Our AI-First Bootcamp.
The public version runs as a self-guided course with a skill tree layout, released in parts. It moves from AI essentials and everyday productivity toward building your own agents and tools.
A companion open-source toolkit sits on GitHub for the technical side. Its best known skill, ai-firstify, audits a project against the bootcamp’s design principles and patterns.
The thread running through it is a shift in what training means. Passing a quiz is not the finish line. Shipping a working tool that solves a real task is.
The Bootcamp at a Glance
| Detail | What TechWolf did |
|---|---|
| Format | Two days of theory, guided exercises and a hackathon |
| First cohort | Eight early adopters from non-technical teams |
| Work used | Each person’s own real tasks and data, not samples |
| Outcome | Six of the eight finished as power users |
| Materials | Sessions documented into self-service onboarding |
| Public version | Open-source playbook, self-guided, released in parts from February 2026 |
Two details in that table explain most of the result. The cohort was tiny on purpose, and nobody trained on dummy data. Both choices are easy to copy and easy to get wrong.
Raise the Ceiling, Not the Floor
TechWolf’s stated aim explains the design. The company says AI should raise the ceiling, not the floor, meaning it should let people do work they could never have built alone.
That is why the champions model matters. The first cohort’s visible wins created curiosity in their own teams, and adoption spread from real examples rather than from mandates.
It is also why the training used real work and real data. A generic prompting course would not have produced tools that colleagues wanted to copy.
Why SAP Is Buying TechWolf
The bootcamp story now sits inside a bigger one. SAP has signed a definitive agreement to acquire TechWolf, subject to the usual closing conditions.
The fit is the skills data. TechWolf’s inference engine reads tasks and work patterns to build live skill profiles, the kind of evidence HR systems like SAP SuccessFactors are built to act on.
A company that teaches AI-first work, and sells the data layer underneath it, was always going to attract a buyer like SAP.
How to Run the Same Format in Your Company
Start with volunteers, not conscripts. Pick a small first cohort of people who are already curious, drawn from the teams whose work you want to change.
Give them two protected days and their real tasks. Mix short theory with guided practice, end with a build session, and judge the output by working tools rather than attendance.
Then document everything and make the winners visible. TechWolf turned its sessions into onboarding material, and the power users became the proof that sold the program internally.
This guide sits in our AI Careers & Jobs coverage. For the wider market picture, read our guide to AI engineer jobs.
Frequently Asked Questions
Is the TechWolf AI-first bootcamp free?
The playbook is open source, published by TechWolf in February 2026 for anyone to read and reuse. The original bootcamp was an internal program for TechWolf staff, not a paid public course.
Who is the bootcamp designed for?
Non-technical professionals. The first cohort came from HR, marketing, product, finance and customer success, and the material assumes no engineering background.
How long does it take?
The original run took two days. The public version is self-guided and released in parts, so teams can work through it at their own pace.
Do you need to know how to code?
No. The program teaches people to build working tools with AI assistance, starting from everyday productivity and moving toward agents. The companion GitHub toolkit is there for technical teams that want it.
Why did TechWolf open-source it?
By the company’s own account, the questions kept coming after the first run. Publishing the playbook also fits its stated philosophy of raising the ceiling for everyone, not only its own staff.
Conclusion
The techwolf ai-first bootcamp works because it is small, practical and judged on shipped tools. Eight people, two days, real work, and a playbook the whole company could reuse. With SAP buying TechWolf, expect this format to spread. Your team can start with the open-source version now.
