No lectures and no passive listening. A desk, a companion that refuses to hand you the answer, and a person who has to sign your week off.
orders.py · Week 00
def average_order_value(orders): total = 0 for o in orders: total += o["amount"] return total / len(orders)Press a button to answer, or wait and it continues on its own.
Our own AI, tuned to teach, not to autocomplete. It reads your code, finds the bug with you, and explains the concept underneath — it will not hand you the fix.
Every gate ends with a person. They ask why you made the decisions you made, and decide. No sign-off, no progress to the next phase.
A dedicated seat at a physical centre in Kochi, surrounded by peers building the same stack against the same deadline.
Our own AI grading engine runs a technical walkthrough of the phase's build. Clear it and the next phase unlocks. Miss it and you sit the gate again — you do not move on.
You sit it again. You get up to three attempts at each gate, with a seven-day cooldown in between so there's real time to close the gap — you keep your desk and your place in the cohort throughout. If you need longer, you can pause your enrolment for up to eight weeks and pick back up when you're ready. Failing a gate costs you time, not your place.
Most bootcamps lecture, then set an assignment. We don't lecture at all. You build from day one against a companion that explains rather than answers, and you can't reach next week until a person signs off that this week's build holds up.
No. Every track — Data Engineering, Generative AI, both full-stack tracks, Data Analytics, and QA — starts from the fundamentals in its first week. If you're unsure which track fits you, the track fit conversation will sort it out.
Join the waitlist and we'll come back with a straight answer — including telling you if Anaxion isn't the right fit for what you're trying to do.