Practical applied AI: prompting, embeddings, retrieval and shipping a real LLM-powered application. Honest about the maths, focused on what you can build.
The gap right now is not people who can train models — it is people who can build reliable products on top of existing ones. That gap is where the jobs are.
Building LLM-powered features into real products.
Working alongside data scientists on deployment.
Automating workflows for businesses — strong freelance demand.
Before you apply: Requires comfortable Python. Take Backend or Data Engineering first if you are new to it.
12 weekends. 24 live sessions. Each month ends with something you built and can show — not a certificate of attendance.
Enough real understanding to stop guessing and start engineering.
Retrieval — the technique behind almost every useful AI product today.
Evaluation, safety and cost — what makes an AI feature production-ready.
Someone who does this work professionally, teaching the way it is actually done — not reading from a slide deck.
Builds the systems behind the screen: APIs, databases, pipelines and the models on top of them. Teaches the whole stack as one connected thing.
Not a reading list. Every one of these is used in a graded exercise during the course.
Three graded pieces of real work — one per month — plus the capstone. This is what gets you the interview.
Issued on completing the assessment and attending enough of the course to have earned it.
Mock interviews, CV and LinkedIn review, and how to talk about work you have actually done.
Mentors volunteer their weekends. The fee covers what it costs to run the course — nothing more. It is charged monthly so nobody has to find a large sum upfront.
The form takes under a minute. No payment at this stage.
Fifteen minutes on the phone about what you want from this. We are checking commitment, not qualifications.
Pay the first month and you are in. Classes start on the cohort date.
₹3,000 across 3 months. No registration fee, no material charges, no exam fee.
Money should not be the reason you don't apply. If even this is out of reach, say so on your application. We would rather find a way than lose someone who wants it.
Each course stands on its own. But some combinations make you noticeably harder to replace, and these are the ones worth planning for.
No. This course starts at foundation level and assumes nothing. The one exception: Requires comfortable Python. Take Backend or Data Engineering first if you are new to it.
No. Classes are live and online, so you join from wherever you are. The whole point of these skills is that the work travels even when you do not.
That is exactly who this is built for. Classes are Saturdays & Sundays only, plus practice time in between. Nothing happens on a weekday.
Every session is recorded and yours to keep. But attendance is tracked — people who watch recordings instead of attending consistently do not finish, and we would rather tell you that now.
Yes. ₹3,000 in total across 3 months, paid monthly. No registration fee, no material charges, no exam fee. Note that fees are not refundable, so please be sure before you commit.
We do not guarantee jobs, and be careful of anyone who does. What you get is a portfolio of real work, a certificate, mock interviews and CV support. The hiring decision belongs to employers.
Dates are being confirmed now. Applying puts you on the list first — applicants hear the start date before it is announced publicly.
3 months of live classes, a portfolio of real work, and a mentor who does this for a living — for ₹1,000 a month. The application takes under a minute.