A selective, build-first Tech × Business × AI track inside your university's B.Tech. Learn to engineer with AI and to understand an industry, a business function and a customer: the mix that forward-deployed and AI-implementation roles ask for. Ship products, run a venture, build agents businesses rely on, and graduate with your degree, industry experience and a public portfolio.
Offered with partner universities: [partner university names, on confirmation]
Your engineering degree teaches you how systems work. The Builders Track adds what the next decade of work asks for: building with AI, understanding a business, and explaining your work with confidence, in studios where you make real things for real people.
You study a regular, on-campus B.Tech awarded by your university. The Builders studios sit in its approved elective, skill, project and internship slots.
Every year is designed to end with something shipped, sold or earned: a venture, a product with users, a paid client project, an industry semester.
A verified builder record a recruiter can open: agents with usage logs, client sign-offs, venture post-mortems, and scores tested with and without AI.
Your university teaches maths, sciences, the engineering core and labs. The Builders studios replace electives, projects and internships, not your core subjects.
The future of work rewards people who can move between technology, business and people. The track is built around that, with engineering depth as the spine.
Python and JavaScript, data and SQL, AI engineering and agents, testing and verification.
Customer discovery, product, growth and sales, finance and strategy, learned by running a venture and serving clients.
Economics, design, sector studios in fintech, health and manufacturing, AI ethics and India's digital public infrastructure.
Writing, speaking, podcasting and leading a team, in English and in the language of your customer.
Every studio tests you twice: once with AI, where you direct, verify and measure, and once without it, where you explain, debug and defend. Every piece of work ships with a verification log: what you checked, how, and what failed. In Year 1, AI works as a tutor that gives hints, not answers; from Year 2 you build with full agents and keep the logs.
Code alone is no longer the job. The roles opening up need an engineer who also understands an industry and how a business function works. Over four years you explore several, then go deep where they meet.
Put AI into clinical and hospital workflows that actually get used.
Decide what to build for learners, then build and measure it.
Start by putting AI to work inside a client's team. Forward-deployed roles usually ask for two to four years of that experience first.
From user to maker.
Ship for real users.
Go deep, go live.
Work and earn.
Built for students who want more than lectures, on budgets that work for Indian families.
Build outcome. A working artefact, with users, a client sign-off or a venture record, plus a verification log of what you checked and what failed.
No-AI checkpoint. A timed, tool-free task on the studio's core ideas.
Oral defence. Explain your work, debug it live and handle a change request.
Recruiters still screen on aptitude, timed coding and spoken English before they look at a portfolio. From Semester 3 you train and test for those gates every semester on Board Infinity's assessment platform, and you sit a national hiring test in Semester 6.
We do not promise placements or salaries. We prepare you for specific roles, track every graduate, and publish what happened, with the method.
No Builders cohort has graduated yet. Until one does, we will publish studio results, internships and Gate & Voice scores each year. Students who continue their venture are reported as founders, never as placed.
Resident studio faculty on your campus, working operators from our hiring network, and founders from your own city.
A campus week and a certificate from a university certification partner. [Partner named once written permission is on file]
Self-paced AI modules with certificates, woven into your studios from Year 2. Not a degree and not academic credit. [Partner named once written permission is on file]
People building AI at leading companies mentor your studios and review your work. [Named mentors, with permission]
An AI-first consulting course inside the business studios. [Partner name on signed agreement]
Live briefs, operator sessions, hiring week and paid industry semesters. [Employer names, with permission]
[Figures and accreditations to be filled only from evidence on file.]
Through its normal admission route: JEE, your state's entrance test or the university's own.
A reasoning and reading test you can take in English or [regional language]. No coding needed, and no marks for polished English.
We teach you something unfamiliar for 30 minutes and see how you apply it. Then you explain one choice in a short piece of writing.
The same questions for every candidate: something hard you finished, a time something failed, and why this track. Offers follow within [X] days.
Engineering students who want to build with technology, business and AI.
A two-year journey in AI, product and growth inside your MBA. [Launch date] See the plan →
Business, digital growth and AI inside your BBA. [Launch date] See the plan →
20–60 hour modules for pre-final and final-year students: AI for business, AI for finance, AI for marketing, and scaling a business with AI.
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Register interest for the first Builders cohort. We will share partner universities, dates and fees as they are confirmed. No spam, no sales calls you did not ask for.