Most courses teach you the syllabus. We put you on the job. Every module is built around a real business problem, not a pre-recorded playlist. You show up, you build, you get pulled apart and rebuilt by mentors who do this for a living. That is the difference.
This is offline. In person. You are in a room with mentors and peers, not a browser tab you can pause and forget. That changes what you can build. A stuck bug gets solved in minutes because someone is standing next to you, not answered three days later on a forum. You cannot fake attention in a room. Online lets you disappear. This does not.
Real projects. From week one. No dummy datasets, no “build a to-do app” filler. You will work with real constraints, real data, and real systems, because that is what the job actually looks like. The portfolio you leave with is proof of work, not a certificate of attendance.
Yes. Every mentor is currently doing the job, not describing it from memory. They bring live problems from their own work into your sessions. When you ask “how would you actually handle this,” you get an answer from someone who handled it last week, not a slide.
No prior coding experience is required. What matters more is whether you are willing to get uncomfortable early. We start from fundamentals, but we do not linger there. Within weeks you are building, not just learning syntax.
A working full stack application you built yourself, backend to frontend, that you can walk into an interview and talk through line by line. Not a cloned tutorial project. Something that is yours.
Yes, that is the point. You are not siloed into one layer. You learn to think in systems, how the frontend, backend, and everything connecting them actually behaves in production, not just in theory.
You will handle them during the course, not just after it. Performance issues, broken API calls, data that does not behave the way you expected, that is the training ground, not a surprise waiting for you on the job.
You sit at the intersection of a client’s real problem and the AI system built to solve it. Some days that means building. Other days it means understanding why a business actually needs what they are asking for, before you write a single line of code.
Both. Freshers get thrown into real problems early instead of years of ramp-up. IT professionals bring existing technical instincts and sharpen them toward a role built for people who can close the gap AI cannot close alone.
Yes. Once you complete the 3 months, we actively support you through the placement process. But the real work happens before that. What gets you in the door is the portfolio you build here, not just the support that follows it.
Selection exists because the room matters. A cohort of people who are ready to build pushes everyone further. If you are not selected this round, that is not a closed door. It tells you where to focus before you try again.
If you are still asking, the honest answer is: only you can decide that. But if you are someone who learns by doing rather than by watching from the sidelines, you already know what to do next.
Strong, and growing fast. In India, entry-level FDEs typically start around INR 18–28 LPA, rising to INR 50–80 LPA or more at senior levels, with the highest offers at AI startups and enterprise consulting firms. Globally, FDEs earn between $180,000 and $550,000 annually depending on experience and company