An AI school in the hills. Where students ship real products before they graduate, build portfolios that get them hired, and stay rooted in the place they're from.

Every year, thousands of students from Darjeeling, Kalimpong, and Kurseong leave the hills for Siliguri, Kolkata, Bangalore — not because they want to, but because the education and opportunity don't exist here. codeschool was built to change that.
India needs 1.25 million AI professionals by 2027. Trained supply covers less than 20% of that gap. AI-linked hiring grew 32% in a single year — 3.8 lakh new roles. Entry-level engineers with real agentic AI skills earn ₹8–12L starting. The jobs are there. The skills aren't. That's the gap we exist to close — from the hills, not from a metro.
We're not chasing rankings or affiliations. We're building the proof: real students, real products, real placements. Then we build further.
Every concept ships as something real. You don't learn a database by reading about databases — you build one into a product a real person could use. This is the ratio, every week, the entire programme.
Your credential is a live URL, a real GitHub history, a product you can demo in any interview. A body of work verifiable in 60 seconds. Not a certificate with our name on it.
We're in Darjeeling because that matters — not as a backdrop, but as a reason. The hills are where the community is. The internet is where the work goes. The two don't conflict.
Active AI job openings in India. By 2027, the country needs 1.25 million AI professionals. Trained supply covers less than 20% of that demand.
Growth in entry-level AI and tech hiring in India over 2023–2025. The job market isn't slowing. It's accelerating.
Employers who now say they prioritise demonstrated ability and proof of work over formal qualifications. The shift is already here — not coming.
Starting salary for entry-level GenAI and agentic AI engineers — above the general AI fresher average, because the specific skill combination matters.
codeschool is built entirely around this reality. The credential we give you is a live URL, a real GitHub history, and a product you can demo in any interview. A body of work verifiable in 60 seconds. No rubrics. No grades. Just: did you build it, does it work, can you explain it?
Deployed apps, real users, live metrics — that's the graduation credential.
RAG, agents, MCP — not what was current five years ago. Verified against real 2026 job postings before finalising the curriculum.
Darjeeling is where we build it. India — and beyond — is where it goes.
Every concept ships as something real. 70% building, 30% instruction. The ratio never flips.
No placement statistics manufactured from a lucky year. No celebrity alumni listed on a homepage. The proof is in what each student ships — publicly, verifiably, permanently on the internet.
Real engineering education, taught by people who actually build, close enough to come home to. That's the gap. This is what closes it.
A small production space — open to anyone. Gear, editing tools, AI software. For creators who want to make content. For local business owners who want to sell online. No fee. No course. No pitch.
See the Lab →A 31-week programme. No prior experience. No upfront fee. You pay only after you're placed. Six men, six women — selected, not just enrolled.
See the Programme →Two ways in. One place.