Software is changing.
So is the role of an engineer.
AI now writes a large part of the code. What is left, and what is scarce, is deciding what to build, why to build it, and carrying it all the way to production.
We train product engineers: people who think like product owners and build like engineers, using AI as a daily tool rather than a novelty.
Live sessions. Real projects. High effort required.
- Batch size
- 10–15
- Format
- Live, cohort-based
- Products shipped
- 2+
- Taught by
- Working engineers
Built and taught by the people who run Sodiarc JR, our engineering studio. Same people, same standards.
Three minutes on what this is.
Worth watching before you apply. It is the same explanation we would give you on a call.
The entry-level engineer role has already changed.
- Juniors were hired to write boilerplate code.
- Engineers waited for specs from product managers.
- Coding speed was career growth.
- AI writes boilerplate faster than any human.
- Companies expect engineers to decide what to build.
- Owning outcomes is career growth.
Four things, practised until they are habit.
Product thinking, on real problems
Deciding what is worth building, what to cut, and how to tell the difference. Practised against problems the studio is actually solving, not case studies.
AI as a daily engineering tool
Not prompt tricks. Using it earlier than you are used to, on the parts you would normally avoid, and knowing where it should not be trusted.
Shipping end to end
Schema through to deployment. You finish with products that run, not repositories that compile.
Owning the decision
Defending a trade-off in front of people who will poke at it. Every session you explain a choice you made and why.
Three phases, then something you built.
Each phase assumes the one before it. The order matters, which is why it is a sequence rather than a menu.
Foundation
Product thinking and AI coding basics
- Telling a real problem from a fake one
- Writing requirements someone else can build from
- Talking to users, and deciding what actually matters
- Setting up an AI coding environment that earns its keep
- Using AI for debugging and review, not just autocomplete
Applied product engineering
Idea through to deployment
- Building a full feature from idea to production
- Working across APIs, databases and frontends
- AI-assisted tests, documentation and migrations
- Trading speed against quality, deliberately
- Shipping real products, not exercises
Deep skills
The parts AI cannot do for you
- System design and architecture decisions
- Debugging something broken in production
- Security, performance and observability
- Knowing when AI is wrong, and what to do about it
- Explaining a technical decision to someone non-technical
A complete product, built end to end.
Idea, spec, design, code, deploy. Real scope, reviewed one to one, and yours to show anyone who asks what you can do.
Who this is for, and who it is not.
- Early-career developers, roughly nought to three years in.
- Builders who want more than a queue of tickets.
- Engineers who want to stay relevant as AI takes the routine work.
- You want a certificate rather than a habit.
- You want guaranteed placement without effort.
- You cannot give it real hours each week.
We do not promise placements. One person from the first batch now builds production software with our engineering arm, which is a fact about him rather than a promise to you.
In their words.
“I came in able to write code and leave tickets closed. What changed was the question I ask first. I now argue about whether something should be built before I argue about how.”
“I had been using AI to finish code faster. Here I learned to use it earlier than that, on the parts I used to avoid. That is a different habit and it took someone watching me work to build it.”
“The projects are the point. Nobody marks your homework here. You ship something that works end to end, and the gaps in what you know show up on their own.”
“Small batch meant I could not hide at the back. Every session I had to defend a decision I had made. I was building alongside the people who run the studio, and at the end of it they offered me a job.”
Taught by people who still build.
Not career instructors. The same people who run Sodiarc JR and ship production software for clients, which is where the problems you will work on come from.
Som Sankar Naskar
CTO, GreatKapital · 11+ years building products at scale
Has hired and mentored hundreds of engineers, and watched the industry move from writing code by hand to directing it. Teaches the judgement part, because that is the part that is now scarce.
Apurva Kale
Product Manager, GreatKapital · IIT Madras
Works on product thinking and user research. Brings the structure that turns a vague idea into something a team can actually build, and closes the gap between deciding and shipping.
Ditipriya Sardar
IMT Ghaziabad
Runs Sodiarc: strategy, operations, finance and partnerships. She is the reason a batch starts on time and stays small, and the person you will hear from about admissions, schedules and fees. She does not teach, which is deliberate. It keeps the instructors on the teaching.
One price, stated plainly.
Three months, live, small batch.
- Live sessions, not recordings
- Real products shipped, reviewed in person
- Taught by engineers who ship for a living
How a seat is decided
You apply, we read it, and if it looks like a fit we talk. Batches are 10 to 15, so we would rather turn someone down early than have them spend three months in the wrong room.
Nothing is payable until both sides have had that conversation.
Training a team?
We run the same programme inside companies, shaped to what your engineers actually build.
Corporate trainingEvery route has its place.
This is not the right programme for everyone. If you want a first coding job quickly, a bootcamp is a more direct route. Here is an honest read of where each option lands.
Straight answers.
If something here is not covered, write to hello@sodiarc.ai and a person will answer.
01 What is a product engineer?
02 Who is this for?
03 How long is it, and how much time does it take?
04 Is this a prompt engineering course?
05 Will you get me a job?
06 What does it cost, and can I get a refund?
Tell us what you have built.
We read every application ourselves. A paragraph about something you have actually shipped tells us more than a CV does.
We are in Bengaluru.
Nyanapahalli Main Road, near Stone Park
Duo Heights Layout, Chamundeshwari Layout
Devarachikkana Halli
Bengaluru, Karnataka 560076 Open in Maps