AI STARTUP

AI Startup After-School Bootcamp

Build a real AI product — not a school project. Work 1-on-1 with engineers and founders from Imperial, Stanford, MIT & Harvard, and industry professionals from Intel, IBM, Bain & Company, and Novo Nordisk.

Imperial Edge for Students

Age Range

9–21 year olds

Hours

8, 12, or 16 hours

Format

Online, 1-on-1 · After school & weekends

Built by practitioners from

Imperial College London
University of Cambridge
University of Oxford
Stanford University
MIT
Intel
BNY Mellon
Aviva Investors

Most after-school clubs leave students with nothing they can show afterwards. The AI Startup Bootcamp is different. Students work 1-on-1 with a mentor who's actually built things — engineers from Imperial College London, founders, and AI practitioners — to take an idea from problem statement to working AI prototype. Sessions run after school and on weekends: you book them when it suits you and progress at a pace that works around school and homework.

By the end, every student leaves with a working MVP, a pitch deck, a 1-minute founder video, and a real story they can talk about on UCAS, in interviews, and on LinkedIn. This is the version of 'what I did' that universities and employers actually remember.

✓

A working AI-powered MVP — something you built, not just learned about

✓

An 8–10 slide investor-style pitch deck

✓

A 1-minute founder demo video

✓

A GitHub repository with your code

✓

1-on-1 mentorship from engineers at Imperial, Stanford, MIT & industry founders

✓

Built across 8–20 hours, scheduled after school and on weekends

Limited Availability

20 spaces per cohort.

Limited places.

Student Results

What Students Say

1 / 3
★★★★★

"I had the idea for an AI symptom checker after work experience in A&E. My mentor helped me actually build it — not just describe it. The demo in my interview at Imperial got a 20-minute conversation."

P

Priya S.

HealthTech track · Imperial Medicine offer

★★★★★

"The trading bot didn't just work — it outperformed the benchmark on back-test. My mentor helped me understand why, not just how. That depth is what landed me my LSE interview."

O

Oliver B.

FinTech track · LSE Finance offer

★★★★★

"I went from a vague idea to a product that 12 of my classmates actually use. The user research report was as valuable as the code — it taught me how to test whether something actually works."

M

Mei L.

EdTech track · Manchester CS offer