We are not here to replace your curriculum. We are here to complete it.
Your department builds the fundamentals — and that is the part that cannot be outsourced. What a four-year syllabus cannot do is turn over as fast as industry does, or tell one student in a hall of three hundred which direction is theirs. We start by counselling your batch, then build the bootcamps and workshops that reading calls for.
The gap
A syllabus was never meant to move this fast.
This is not a failing of your department — it is arithmetic. A curriculum is approved on a multi-year cycle for good reasons, and the tooling around AI now turns over in months. No institution can chase that inside its own syllabus, and none should have to.
So we run the fast-moving layer beside you. Real projects, practitioners from industry, honest evaluation — scheduled around your semester, co-taught with your faculty, and built on the fundamentals you already gave them.
of CS graduates can build a working ML project. The other 93% were taught the theory and never once asked to apply it.
What we hear on campus
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Students know the theory, not the practice.Only 7% of CS grads can build a working ML project.
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Students have no idea what to specialise in.They pick a direction from hearsay, then lose two years to it.
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Faculty bandwidth is stretched.There's no time to add a whole new AI curriculum.
Programme one · the entry point
The Virtual AI Bootcamp
Two days of practical AI guidance, run virtually, in which every student builds a project and leaves with something for their portfolio — and a clear read on what to learn next. ₹1,000 + GST per student.
Virtual AI Bootcamp — 2 days
Two days of AI guidance plus a project and portfolio you finish with.
- Programme fee
- ₹1,000
- GST (18%)
- ₹180
- Total payable
- ₹1,180
Payments are handled by Razorpay. Card details never touch this site.
Understand AI
- AI fundamentals — what these systems actually do
- AI in modern careers, across every discipline
- Prompting and AI workflows that hold up
- The tools worth knowing, and why
- Human + AI collaboration in real work
Build with AI
- Industry use cases, examined properly
- A practical project each student builds
- Building an AI workflow end to end
- Project presentation and peer review
- Career direction — what to explore next
After the bootcamp
The bootcamp is not the end. It is the entry point.
Most providers deliver a workshop and leave. Every student who finishes ours keeps a pathway — free structured learning, a guided reading of where they stand, and a direction to work toward.
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01Free path accessEvery student keeps full access to the structured paths.
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02Structured self-paced learningThey continue in an order that actually compounds.
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03CounsellingA guided session that reads where each student stands.
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04Personalised directionA written report: strengths, gaps and the next step.
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05Deeper HI programmesOptional — the semester cohort or the AI Fellowship.
Programme two · the deep dive
The AI Campus Immersion Programme
For departments that want to go further than an introduction. Built with you rather than sold to you — the length, the depth and the credit integration all depend on your batch and your semester, so it is quoted per institution rather than per seat.
Semester-aligned
6-week modules that run alongside your existing curriculum — evenings and weekends, no scheduling headaches.
Practitioner-led
Live sessions from AI engineers currently shipping in industry. Faculty co-teach for continuity.
Project-based
Every student ships a real AI project — evaluated on the same rubric top companies use in interviews.
Certified & credit-eligible
Optional credit integration for colleges. Industry-recognised certificate on completion.
Progress analytics
A dashboard for your faculty — skill maturity, project quality and confidence scores per student.
Guidance for every student
Each student gets a counselling session — an honest read on their strengths and the direction that suits them.
For your faculty
See exactly where every student stands.
Every student is scored on the same rubric — project quality, concept depth, and how well they can explain their own work. You see the whole batch at a glance, and the individuals who need a nudge before it is too late.
- Capability score per student, updated weekly
- Skill maturity heat map across the batch
- Project quality graded on a consistent rubric
- Exportable for your own reporting
Working with your department
A partnership, not a vendor relationship.
We do not drop a course and disappear — and we do not arrive with the programme already written. Four stages, beginning with listening to your students, and your faculty are in the room for all of them.
Counselling first
We start by counselling a sample of your batch — or all of it. That gives us a reading of where these particular students actually stand, rather than the generic assumption every vendor arrives with.
The batch picture
Those sessions aggregate into something your department has rarely had: what this cohort is genuinely strong at, where it is thin, and which directions it is drifting toward without guidance.
Programme built from it
The bootcamp and workshops are then designed against that reading and your semester calendar — sitting alongside the existing curriculum, never competing with it for the same hours.
Delivery, co-owned
Blended live and async sessions run by practising AI engineers, with your faculty co-teaching — so the capability stays on campus after we leave, and every student leaves with a written direction of their own.
“The bootcamp changed how our students think about their careers — and for the first time, they could show you something they had actually built.”
Bring the AI Readiness Bootcamp to your campus.
One 30-minute call with your department — we come back with a programme plan built around your students and your semester, not a generic brochure.