There is a reliable test for whether AI training worked: thirty days later, is anything actually running? Most corporate AI training fails it. Participants enjoy the session, take notes, return to their inbox, and the notes die in a drawer, because the training taught about implementation instead of doing implementation.
The bootcamp inverts that. This is a full-day, laptops-open, hands-on intensive in which your team builds working AI workflows on your actual business problems, with facilitators who deploy AI professionally coaching at the elbow. The exit criterion is not understanding; it is working automations your team built themselves and can extend on Monday.
What happens during the bootcamp?
- Morning, foundations under load: rapid tool fluency and prompt craft, taught through immediate application, not lecture
- Use-case selection: your team's pre-submitted problems are triaged live for value and feasibility, a skill in itself
- Build sprints: small teams implement real workflows, document handling, reporting, drafting, analysis, automation chains, with facilitator coaching
- Hardening: quality control, failure modes, and data-safety rules applied to what was built
- Show-and-commit: teams demo their builds and commit to the 30-day extension plan
Who is this bootcamp for?
Operational teams, analysts, managers, and the people leadership expects to "figure out AI": the doers. It suits mixed-function cohorts well, because cross-pollination of use cases is half the value. No coding background required.
Who runs it?
Scott Wilson, whose flagship program this is. The bootcamp's methods come straight from his consulting deployments and his McMaster teaching, and the coaching style assumes participants are smart professionals who learn by building.
What formats are available?
Full-day is the native format, on-site or virtual; see the full-day workshop overview for logistics. Executives sometimes attend the morning and return for demos; leadership-specific depth lives in the executive workshop. Organizations pursuing enterprise-scale automation often run the bootcamp as a readiness step before a Workforce AI engagement.
How do you book it?
Request a workshop quote with your team size and three to five candidate problems; pre-work instructions follow booking.
Frequently asked questions
What should participants bring?
A laptop, access to the tools your organization approves, and a real problem from their work. The pre-work survey collects problems in advance so build sprints start fast.
What if our data cannot go into public AI tools?
That constraint is part of the curriculum: the data-safety segment covers what may and may not be used where, and exercises are designed to respect your policies.
How many people can attend?
Build-sprint coaching quality caps cohort size; larger organizations run multiple cohorts. Give us your headcount and we will structure it.