Students and recent graduates starting their career
AI Career Launch
Start from zero, build real AI applications, and finish with a capstone project you built yourself.
Monday to Friday, five sessions a week
Two full-day Saturday labs, ending in a Demo Day — in the Himayat Nagar classroom for the Hyderabad batch, on Google Meet for the online batch. Included in the 32 sessions, not additional to them.
No prior coding experience required.
What you will build
4 things that exist when the batch ends
Not slides, not a certificate on its own. Work that can be opened, run and interrogated by someone deciding whether to hire you.
A website, live, in week one
You ship a real site to a real URL in the first week — before you have installed anything, and before you have written a line of code unaided.
- What it proves
- You can get something in front of people, which is the step most beginners never actually take.
- You leave with
- A live URL and the repository behind it.
- Claude Code
- GitHub
- Vercel
An AI application on a model API
Your own application, calling a language model from code you can read, answering questions from a set of documents you give it.
- What it proves
- You understand what sits between a user's question and a model's answer — the retrieval step, the API call, and where each one fails.
- You leave with
- A deployed app, its repository, and an answer you can trace back to the passage it came from.
- Python
- An LLM API
- Retrieval (RAG)
Two agents — one visual, one that answers the phone
An n8n workflow that runs on a schedule without you, and a voice agent that picks up a real call and handles it.
- What it proves
- You can automate a process end to end, rather than prompt a chatbot and copy the result out by hand.
- You leave with
- A running workflow, and a phone number you can ask someone to call.
- n8n
- A voice agent platform
- Webhooks
The capstone
One project of your own choosing, built across the final weeks and presented at Demo Day in front of the cohort.
- What it proves
- You can scope a problem, build the thing, and explain every decision in it to someone asking hard questions.
- You leave with
- The project, the repository, and a demo you have already delivered once out loud.
- Yours to choose, and to defend
Project briefs are finalised with your trainer at the start of each batch. The capability each one builds is fixed; the specific brief can flex to the cohort.
What you will be able to do
Outcomes
- Ship a working web application and explain every layer of it
- Read, fix and debug the code an AI assistant writes for you
- Clone a project from GitHub and get it running on your own machine
- Take a raw dataset and turn it into an analysis somebody can act on
- Build an application on top of an LLM API, and an agent that does a job
- Walk into an interview with deployed projects you can defend line by line
The problem
Every job posting wants experience you have not been allowed to get
You finished a degree that covered theory and are applying for roles that ask for tools you have never opened. The gap is not intelligence and it is not effort — it is that nobody gave you a problem big enough to be worth putting on a CV. This program gives you one, and six weeks of supervision while you solve it.
Six weeks from now you will have built something real, and be able to explain every decision in it to someone who asks hard questions.
Where this points
Roles this program is aimed at
Data Analyst
₹4–12 LPA
Junior Data Scientist
₹5–30 LPA
ML Engineer (entry)
₹6–35 LPA
Salary ranges are Indian market data for 2026 compiled from published third-party research, shown as context for the roles this program targets. They are not our students’ outcomes, not offers, and not a projection. We do not offer placement services and we make no job or salary guarantee.
Honest fit
Is this the right program for you?
This is for you if
- You are in your final year, or finished in the last couple of years
- You have little or no coding experience and are willing to start at the beginning
- You can commit to five sessions a week, Monday to Friday, for six weeks
- You want a project you can defend, not a certificate you can file
This is not for you if
- You already write production code — Applied Generative AI is the better fit
- You want a guaranteed job. We do not offer placement services and we will not pretend otherwise
- You can only study at weekends — this batch runs on weekdays
Fees are non-refundable, so we would rather talk you out of the wrong program now than take your money and have you leave in week two. Read the refund policy.
Before you decide
The things people actually ask
I have never written a line of code. Is that really fine?
Yes. The first two weeks assume nothing at all. Roughly half of every cohort arrives having never opened a terminal. What matters far more than prior experience is showing up to every session — the students who struggle are the ones who miss a week, not the ones who started from zero.
Six weeks seems short to learn all this.
It is short, and that is deliberate. Thirty-two sessions across six weeks keeps you in continuous contact with the material instead of spreading it thin across a semester where you forget week three by week nine. It is also honest about what it produces: a capable beginner with a real project, not a senior engineer.
Is ₹35,000 worth it when there are free courses online?
Free material is abundant and most people do not finish it. What you are paying for is a fixed schedule, someone who notices when you are stuck, a cohort going through it with you, and a project reviewed by a person rather than a quiz. If you have already finished three free courses end to end, you may genuinely not need us.
What if I cannot attend a session?
Every session is recorded and available to you. Missing one is recoverable. Missing several is how people fall behind, so we flag it early rather than letting it quietly happen.
Still the right fit?
Tell us where you are starting from and we will say honestly whether this program suits you — including if the answer is that it does not.
Curriculum
30 evenings and 2 Saturday labs
- 01Build and ship your first AI-made website in week one — nothing to install
- 02Coding with AI — Claude Code, Cursor and the vibe-coding workflow, plus GitHub and the terminal
- 03How the software you build actually works — frontend, backend, APIs, databases and logins, and why sites need HTTPS, rate limits and access rules
- 04Reading and fixing what the AI writes — enough code to stay in control of it
- 05Working with data using AI — messy spreadsheets to answers you can defend
- 06Judging what AI gives you — spotting a wrong number, a weak claim or a confident mistake
- 07What people mean by machine learning — the words you need when an interviewer asks
- 08How AI models actually work, where they fail, and what RAG means
- 09Build your own AI application on a model API
- 10Build AI agents — visually with n8n, then a voice agent that answers a real call
- 11Capstone, portfolio and interviews — your GitHub, your CV, and how to talk about what you built
This is the module outline, not a session-by-session syllabus. Order, depth and the specific tools used are adapted to each batch and to the trainer leading it.
FAQ
Questions about AI Career Launch
Who is AI Career Launch for?
Students and recent graduates starting their career. No prior coding experience is required.
How long is AI Career Launch and how many hours is it?
1.5 months, across 32 sessions in total — 30 weekday evenings and 2 Saturday labs, not 32 plus 2. Monday to Friday, five sessions a week. Two full-day Saturday labs, ending in a Demo Day — in the Himayat Nagar classroom for the Hyderabad batch, on Google Meet for the online batch.
How much does AI Career Launch cost?
₹35,000 in total. The fee is the same whether you attend the classroom batch in Hyderabad or the live online batch. They run separately, with the same curriculum, the same number of sessions and the same trainer time.
Can I attend this online from outside Hyderabad?
Yes. Online batches are live and instructor-led, not pre-recorded video, and students join from across India. Every session is recorded so you can catch up if you miss one.
What do I get at the end?
A certificate of completion, and more importantly the project work you produce during the program. Walk into an interview with deployed projects you can defend line by line.
Not sure this is the right one?
Tell us where you are starting from and what you want on the other side. We will tell you which program fits — including if the honest answer is none of them.