Industry-grade AI education,
badged with your institution.
A Centre for Applied AI on your campus. Your name on the certificate, your students in the room, our curriculum, platform and delivery engine behind it.
Your graduates are competing with people who have shipped things.
The distance between a good engineering degree and an AI job is not knowledge — it is evidence. A Centre for Applied AI exists to close that gap inside the degree, not after it.
On your campus
A physical centre, co-branded with your institution, built to a specification we agree together — labs, project space and a room for industry sessions.
Inside your programs
Applied AI electives, minors, capstone tracks and short certifications that map onto your existing credit structure rather than fighting it.
With your faculty
Faculty development and train-the-trainer tracks, so the capability stays on campus after the first cohort graduates.
What a centre includes
Evidence, not attendance
- A public portfolio of applied AI projects, reviewed against industry criteria
- Capstone work built on real briefs rather than textbook datasets
- Certification in select areas through the NASSCOM partnership, under prior agreement
- Interview preparation grounded in what they actually built
- A route into the AST network — as trainers, mentors or franchise partners
How a campus partnership is structured
Scoping with your leadership
We agree the academic fit — which departments, which years, how the centre maps to credits, and what success looks like in cohort one.
Memorandum of understanding
Branding, certification scope, commercials, intake numbers and responsibilities are written down before anything is built.
Build and enable
Centre fit-out, platform deployment, faculty training and curriculum integration, run to an agreed academic calendar.
Run, review, expand
Cohort delivery with termly reviews on progression, project quality and placement outcomes — then scale to more departments.
Talk to us about a Centre for Applied AI
Send us the shape of your institution and we will come back with an academic fit note and a proposed structure for cohort one.