You're not here to take a course — you're here to ship a real AI product.
Over 14 weeks you build a production AI Sales Copilot for BuildMate — a
building-materials manufacturer (sanitary ware, fittings, manhole covers). Reviewed code from week
one, deployed to production, with public proof employers can inspect.
14 weeks · 4 sprints + a 2-week ramp
Real client project · not a classroom
Guided by a practising engineer
02
How it turns into a job
In the interview, you won't say "I know RAG." You'll open the pull request where you built it — and walk them through the trade-offs.
01
A public code history
Reviewed commits and PRs on a real repo, from the opening weeks — a contribution graph an employer can scroll.
02
A deployed application
A live URL they can open and use, running in the cloud with CI/CD behind it.
03
A documented outcome
A benchmark report and a project write-up that show what you built and how well it works.
AI Application EngineerBackend / Platform Engineer
GenAI / Agent EngineerAI / ML EngineerData / Cloud
These are the kinds of roles this prepares you for. Top performers are considered for pre-placement offers.
Guidance that reflects the workplace
Learn from Industry Professionals
Our mentors are experienced technology professionals with significant expertise in software engineering, product development, quality engineering, architecture, project delivery, and technology leadership.
Their experience helps students understand how engineering decisions are made and how technology teams design, build, test, review, and deliver software products.
Mentoring focuses on practical learning, engineering discipline, problem-solving, and preparation for professional technology environments.