A 12-week, project-driven track. From your first Jupyter notebook to a production model with monitoring — taught by working ML engineers.
View curriculum →Each track is a self-contained programme — twelve weeks, cohort-based, with weekly live sessions, office hours, and a portfolio project at the end. Take one, or stack them.
Build real ML systems end-to-end. We cover the math you actually need, the tools real teams use, and the deployment work that makes a model count.
Move from sketches to production-ready 3D — for games, product design, simulation, and the web. Industrial-grade Blender, plus a real WebGL pipeline.
From "how does a hash work" to deploying a verified smart contract. We focus on the engineering — security, gas, audits — not the speculation.
Build the pipelines that move billions of events. SQL fundamentals to streaming Spark on a real cluster. The unglamorous work that powers everything else.
We're an engineering studio that teaches what we ship. No motivational fluff, no clipped YouTube tutorials reassembled — just the work, in the order it matters.
Twelve weeks. Real classmates. Weekly live sessions, recorded for catch-up. You're never the only one stuck.
Every instructor still does the work full-time. They teach the tooling they actually open every Monday morning.
You don't pass quizzes — you ship a portfolio piece. We critique it the way a hiring panel would.
Course materials, recorded sessions, and our alumni Slack stay open. Come back for the next wave of tools.
Three steps. Six to twelve weeks. A real piece of work to show for it.
Pick a track, complete a short intake call so we can match you to a cohort that fits your timezone and pace. Pre-reading lands in your inbox.
Weekly live sessions, recorded lectures, mentor office hours, and a private Slack with your cohort. You ship a small thing every two weeks.
The last two weeks are your capstone — a real portfolio project, code-reviewed by working engineers. You walk away with proof, not a certificate alone.
Our instructors are working ML engineers, technical artists, smart-contract auditors, and data platform leads. They teach a few hours a week and build the rest of the time.
Built recommender systems at a large Indian e-commerce platform. Now leads applied research on RAG and agentic systems.
Technical artist who shipped a generation of mobile games before moving into industrial digital twins. Lives in Blender.
Smart contract auditor with two years at a Web3 security firm. Has watched the same bug ship in production six times.
A small sample from recent cohorts. No names invented, no testimonials manufactured.
I came in able to write a for loop and left with a deployed object-detection model my company actually uses on the factory floor. The capstone was the interview.
The 3D track is the only programme I've seen that takes you all the way to WebGL. By week 10 I had an interactive product configurator live on my client's site.
Most blockchain courses are speculation classes in a hoodie. This one is engineering. We wrote contracts, broke them, then learned how to write them so they didn't.
The Big Data track changed what I do for a living. I went from BI dashboards to building the streaming pipeline that feeds them. The mentor office hours were worth the fee alone.
If your question isn't here, write to us — we usually reply the same day.
For the AI, Blockchain, and Big Data tracks, comfortable Python or any modern language is enough. For the 3D track, no programming is required to start — we introduce it later, in JavaScript, when we reach the WebGL section. Our intake call exists to make sure you're matched to a cohort that fits your level.
YouTube is excellent for individual topics; it's poor at sequence and accountability. Our cohorts give you a structured order, weekly deadlines, real classmates, and access to mentors who answer questions specific to your code — none of which a recorded video can do.
Plan for 8–10 hours weekly: one live session (90 minutes), recorded lectures (2–3 hours), guided exercises (3–4 hours), and the running assignment (2–3 hours). Most learners do the bulk of it on weekends.
Yes. Three-month EMI is available on every track at no extra cost. We also reserve two need-based scholarships per cohort — write to us with a short note about your situation and we'll send the application form.
You'll receive a certificate of completion when you finish your capstone — but we encourage learners to lead with the project itself. A working portfolio piece carries more weight in interviews than any certificate.
You can defer to the next cohort once at no cost, no questions asked. Beyond that, we offer a pro-rata refund within the first two weeks. Full policy is shared at signup.
Reach us directly, or use the form. Our admissions team answers every enquiry — most within a business day.
We're a small team. The fastest path to a real person is email or phone — both reach Admissions directly during working hours.