Build AI projects worth putting your name on
A 4-week remote internship in AI, machine learning and software engineering. Real briefs, real code review, and work you can show an employer — designed and reviewed by Amol Katkade.
Free to apply and free to complete. A verifiable completion certificate is available at the end — optional, and never required to finish.
Free — always
- Personalised internship offer letter (PDF)
- Full task brief with datasets and assessment criteria
- AI-assisted code review on every submission
- A public, verifiable project portfolio page
- Cohort community + weekly office hours
Completion certificate — optional
- Completion certificate with a unique ID and QR verification
- Permanent public verification page anyone can check
- Shareable LinkedIn credential
- Skill summary listing what you actually built
Skip it if you like — your projects, review feedback and portfolio page are yours either way.
Five steps, four weeks
No entrance test, no interview, no upfront payment.
- 1
Apply — free, no test
Pick a domain and tell us a little about yourself. Applications are reviewed within two working days.
- 2
Get your offer letter
Accepted candidates receive a personalised offer letter with a unique intern ID and the full task brief.
- 3
Build and submit
Complete any 2 of the 4 tasks in your domain. Push to GitHub, submit the links.
- 4
Get reviewed
Every submission gets AI-assisted code review against the published criteria, plus human spot-checks.
- 5
Earn your certificate
On completion your certificate is issued with a unique ID and a permanent public verification page.
Choose your domain
Each domain has 4 project briefs. Complete any 2 to finish the programme.
AI Agents & Automation
Build autonomous agents that use tools, not chatbots that answer questions.
Generative AI & LLMs
Go past prompt tinkering into retrieval, evaluation and cost control.
Machine Learning
Classical ML done properly — including the evaluation everyone skips.
Data Science
Turn a messy dataset into a decision somebody can act on.
Computer Vision
Detection, classification and the messy reality of real images.
Python Development
Write Python that other people can run, read and trust.
NLP Engineering
Make machines read text well enough to act on it.
Full Stack Development
Ship a web app that survives a real user.
Cyber Security
Find the holes in your own work before anyone else does.
Cloud & DevOps
Make deployment boring, repeatable and reversible.
Java Development
Build backend services the way enterprises actually build them.
Business Intelligence
Turn data into a decision somebody actually makes.
Everything in one place
The briefs are public before you apply, and the FAQ answers the questions most programmes avoid.
Built to be worth doing, not just worth listing
What we deliberately do differently from the rest of the category.
The fee is on the first screen
Most programmes reveal a certificate charge only after you have done four weeks of unpaid work. Ours is stated before you apply, and the work itself is free either way.
Briefs specific enough to learn from
Every task states its assessment criteria, suggested datasets and the failure modes to watch for. You are told what "good" means before you start, not after.
AI-assisted review on every submission
Your code is reviewed against the published criteria and you get written feedback — the part most free programmes skip entirely.
A portfolio, not just a PDF
Each completed task becomes a public project page linking to your repo and write-up. That is the thing that actually helps in an interview.
Domains nobody else teaches
AI agents, MCP servers, LangGraph orchestration and RAG evaluation — the skills currently in short supply, taught from real client work.
No invented promises
We do not claim a stipend, guarantee placements, or quote numbers we cannot evidence. What is written here is what you get.
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