Aetrax — Build with AI | Live cohort

Learn AI by building it with us, on real projects.

A four-week live cohort for ten people. Every module taught live, real project briefs from week two, and a route onto the Aetrax project team for the learners who stand out.

Book your seat See the full curriculum
Hussain

Taught live by Hussain and the Aetrax team
GenAI engineers building RAG, document AI and multi-agent systems in production.

Four weeks, run the way real AI work is run

This isn't a lecture series. You learn the concepts live, apply them to a real brief, ship what you built, and the strongest work earns a place on paid projects.

1

Learn

All nine modules taught live on weekday evenings — from AI fundamentals to governance — with a knowledge check at the end of each.

2

Build

From week two, a live project brief. Weekend labs are working sessions: tasks, code review, and challenges pulled from builds we've shipped.

3

Ship

Your project gets deployed to a public link and presented on demo day, with one-to-one review of your code and decisions.

4

Join the team

Learners who deliver consistently are invited onto the Aetrax project team — real clients, real deadlines, paid work.

What you need before you join

The cohort moves fast and the labs are hands-on, so everyone needs the same starting point. Please check these before you book — we confirm them with you before taking payment.

Basic Python

Loops, functions, lists and dictionaries, reading a file, and installing a package with pip. Nothing advanced.

A laptop

Windows, macOS or Linux with 8 GB RAM minimum (16 GB is better) and 20 GB free space. Phones and tablets won't work for the labs.

Stable internet

Enough for a video call while sharing your screen, around 10 Mbps. Keep a mobile hotspot as a backup for Sunday labs.

Free accounts, set up in advance

GitHub, Google and Hugging Face. The setup guide in your joining kit walks you through each one before day one.

About ten hours a week

Six live hours plus around four hours for weekly tasks and your project, for all four weeks.

Live attendance

Join at least 10 of the 12 sessions live. It's also required to be considered for the project team.

Good to have, not required

  • Git basics and a GitHub profile
  • Some comfort with the command line
  • You've used ChatGPT, Claude or Gemini before
  • An idea of what you'd like to build

You don't need

  • A maths or machine learning background
  • A paid AI subscription or API credits
  • A GPU or a high-end machine
  • Any previous AI experience

The complete curriculum

Every topic below is taught live, in this order. Open any module to see exactly what it covers and when.

9modules
101topics
43hands-on topics
12live sessions
Hands-on you do this yourself in the session

Session by session

Two evenings for concepts and live demos, one weekend lab for building. Dates and times are shared with the batch once all ten seats are filled. Every session is recorded and shared the same night.

Concept sessions 90 minutes, weekday evenings Build labs 3 hours, at the weekend Doubts call optional, when the batch needs it

You'll work the way our projects actually run

The modules give you the concepts. The project track gives you the experience — the same kind of briefs, problems and review we deal with on real builds.

Tasks

Weekly assignments tied to your project, submitted on GitHub and reviewed the way a pull request is reviewed on a real team — with comments you have to act on.

Challenges

Problems taken from systems we've built: retrieval returning the wrong answers, an agent stuck in a loop, a prompt leaking data it shouldn't. You find the cause and fix it.

Use cases

Enterprise scenarios built end to end in the weekend labs — the problem, the right approach, the build, the cost, and how you'd defend it to a client.

The kind of briefs you'll work on

Each learner takes one as their project for the month.

After the cohort: a place on the Aetrax project team

Hussain and team take on AI builds for clients — document processing, knowledge assistants, multi-agent workflows. From each batch, we invite the learners who've proven themselves to work on them with us. Real clients, real deadlines, paid.

The cohort is how we find those people. Four weeks of watching how someone builds, takes feedback and delivers tells us more than any interview could — and it gives you a working relationship, not just a certificate.

How selection works

Decided after demo day, on three things.

Quality of your workYour capstone, your code, and how clearly you explain your decisions.
How you take feedbackWhether review comments make your next submission better.
ReliabilityShowing up, submitting on time, and finishing what you start — every week.

A place on the team is an invitation based on merit, not part of the fee. That's exactly why it's worth something.

One batch, two kinds of learner

Students and working professionals learn side by side. Students see how real work is done; professionals get fresh energy and a second pair of eyes. Both get more out of it than either would alone.

If you're a student

  • Build a portfolio of deployed projects instead of collecting certificates
  • Get experience on real briefs before your first job
  • Learn how professional teams review and ship code
  • A route into paid project work while you're still studying

If you're working

  • Apply AI to your current role from the first week
  • Understand the governance and data-safety questions your company will ask
  • Build credibility to lead AI initiatives at work
  • Evening and weekend timing that fits around a full-time job

Both groups need the same starting point: basic Python, a laptop, and about ten hours a week. Check the full requirements.

What's included

24 hours liveTwelve sessions with at most ten people, so you're never just watching.
Every recordingShared the same night and yours to keep.
A real projectOne brief for the month, built with review at every step.
Code reviewWeekly tasks reviewed like pull requests on a working team.
One-to-one capstone reviewWritten feedback on your code and your decisions.
Private doubts groupQuestions answered through the whole month.
CertificateListing the modules you completed and the project you shipped.
Resume and portfolio reviewAfter demo day, so your work reads the way it should.
The 6-month roadmapOur full self-study plan, so you know what to do after the cohort.
Hussain

Hussain

Founder, Aetrax · GenAI Engineer, Bengaluru

Hussain builds generative-AI systems for a living — retrieval pipelines over large document sets, multi-agent workflows, and the engineering that keeps them reliable once real people are using them. He leads every live session, with the Aetrax team supporting the labs, code reviews and doubts.

That's why this cohort is built around projects. What's taught in these sessions isn't read from a textbook; it's what the team works on every week. You'll get the failures as well as the wins — the chunking choice that broke a retrieval system, the agent that burned through its budget, the evaluation that showed a polished demo was wrong. Those are the lessons that make you useful on a real team.

PythonLangChainLangGraphAutoGenAWS BedrockRAG pipelinesMulti-agent systemsMCPDocument AI and OCRLocal LLMs

Questions

How does the project team actually work?

After demo day, Hussain and team review every learner's work across the month. Those who meet the bar are invited to work on specific freelance projects as they come in, with clear scope, deadlines and payment agreed per project. It isn't guaranteed and it isn't included in the fee — it's earned through the cohort.

I work full time. Can I keep up?

Yes, if you can give about four hours a week outside the sessions. The weekday sessions are in the evening and run 90 minutes. The weekend lab is the one not to miss, because that's where the project work happens.

I'm a student without work experience. Is this too advanced?

No, as long as you can write basic Python. The mixed batch is deliberate — seeing how working professionals approach problems is part of what you're paying for.

Are all nine modules really covered live?

Yes. Every topic listed in the curriculum is taught live in the session shown next to it. Nothing is left as "self-study".

What if I miss a session?

You get the recording the same night and can ask about it in the group. Missing more than two makes it hard to keep up with your project, since each week builds on the last.

Do I need a paid AI subscription or a powerful laptop?

No. We use free tiers throughout, and we'll show you which ones. Any laptop that runs a browser and VS Code is enough.

Why only ten seats?

Because the value is in review and interaction. With ten people we can look at your code during every lab and give you specific feedback. Beyond that, it becomes a webinar.

Is there a refund?

Yes. Attend the first session, and if you tell us before the second that it isn't for you, you get the full amount back. After that the seat has been held for you and the material delivered, so there's no refund.

Book your seat

Ten seats, confirmed in the order payments arrive. The batch starts once the tenth seat is taken, and we share the start date and session times with everyone then.

  1. Message us the word JOINOn Instagram or LinkedIn, with one line on what you do and what you'd like to build.
  2. We confirm your seatWe'll check you meet the requirements and share the payment details. If it isn't a fit, we'll tell you honestly and point you somewhere better.
  3. Pay and send the screenshot₹5,999 by UPI. Your seat is held from that moment.
  4. Receive your joining kitMeeting link, calendar invites for all twelve sessions, the setup guide, and your invite to the group.

Next batch

₹5,999

One payment. Starts as soon as all 10 seats are filled.

7 of 10 seats left
  • All 9 modules, 101 topics, taught live
  • Taught by Hussain, with team support in labs
  • A real project brief with weekly review
  • Recordings, doubts group and certificate
  • Consideration for the project team
Message us on Instagram Or message Hussain on LinkedIn

Full refund if you attend the first session and tell us before the second that it isn't right for you.