Programs
Three programs. One method.
Applied AI training built around a weekly cadence, a real deliverable, and clear completion criteria.
The method
How every program runs.
Flipped classroom
Prep on your own time, then a live session where the work happens. Nothing is a lecture you could have read.
Cohorts, not classes
Small groups that build together. Leaders in cohorts of their peers; builders grouped by the problem they're solving.
A deliverable, not a grade
Every program ends in something real: an AI roadmap, a working prototype, a capstone project.
Certificate of Completion
Issued against clear criteria — attendance, the milestone deliverables, and a final presentation.
Completion & assessment
What it takes to finish.
Completion criteria
- Attend at least 7 of 8 live sessions (executive) — full-time attendance (engineering)
- A milestone deliverable by mid-program: use-case shortlist, project scope, or project proposal
- A final presentation, evaluated by faculty and industry practitioners
- Peer feedback on at least two other presentations
- Certificate of Completion on meeting every criterion
How we assess
Competency-based and applied — weekly check-ins, iterative feedback on the project, and a final presentation. We measure what you can do, not what you can recite.
Programs themselves are measured on completion rate, the quality of what participants deliver, and how much of it is actually deployed afterward.