Do the work an AI engineer does.
Every internship builds a system companies ship today, grounded in the papers behind it — with AskThili, an AI mentor, beside you the whole way.
The techniques you'll build are running in production at
Google·OpenAI·Anthropic·NVIDIA·Meta·Hugging Face·Microsoft·GitHub·Netflix·Uber·Amazon·Spotify·AWS·Cursor
Named for where a technique is used. No affiliation or endorsement implied.
Not toy datasets. An agent memory engine, a DDoS detector, a dynamic-pricing engine — systems in production at named companies right now.
Every internship traces to the research that invented the technique — the landmark papers themselves, linked and read, not summarised.
AskThili knows the exact section you're stuck on. Ask at 2am and get an answer about your problem — not a generic search result.
How an internship runs.
Four steps, in order. You read the build, then you actually build it — the same way the job works.
Make an account and enroll. Your 175 ⚡ starting balance covers your first internship — no card, no subscription.
The complete notebook, every cell and its real output, rendered in your browser. Nothing to install to start reading.
Then write it in your own environment, the way you would at work — with AskThili answering from the section you're on.
Push your repo and take the completion test. You leave with a working system and a score you can defend.
One internship. Not a tutorial.
Every one is built three ways — so you finish with a system, not a viewing history.
Browse every internship. No account needed.
See exactly what you'd build, where it's used, and which papers it's built on — before you sign up for anything.
🧭 Or browse by goal — curated learning paths →Agent Blast Radius
Automated Money Management
Build a Codebase Knowledge Graph
Build a Disciplined Coding Agent
Build a Model-Serving Engine
Build an Agent Memory Engine
Build a ReAct Agent
Build a Recommender from Scratch
Build a Two-Tower Retrieval Engine
Build GPT from Scratch
Building a Coding Agent
Building a Customer-Segmentation Engine
An internship, not a course.
The difference shows up on your CV, not on a certificate.
| A course | A Learn {} Fast internship | |
|---|---|---|
| What you do | Watch, then quiz | Build, then defend it |
| Organised by | Topics — “Module 7” | Outcomes — “Build X” |
| Source material | A summary of a summary | The original papers |
| When you're stuck | A forum, two days later | AskThili, the same second |
| You end with | A certificate | A system you built — and can explain |
Meet the mentor who never leaves.
AskThili answers from the section you're on and the code in front of you — never a hallucinated tangent.
A score you can put in front of a recruiter.
Every internship ends in a real assessment — of the thing you built, not the hours you sat through.
A completion test written against that internship's own material, plus a rubric review of the repo you actually pushed.
Questions span recall, application and creation — so the number reflects whether you can use the idea, not whether you recognise it.
The score is arithmetic we own and can replay from the stored evidence — not a language model's opinion on the day. Same work, same number, explainable line by line.
Scores roll up across every internship you finish, weighted by difficulty, into one capability number that travels with you.
Watch your understanding take shape.
Every question you ask lights up a concept. Your Mind map shows what you've mastered — and what's next.
Pay for what you learn.
No subscription you forget about. Energy powers your internships — top up only when you want more.
A flagship founders event, a department pilot, or the full build layer under the courses you already teach. Your students graduate with a portfolio, not a transcript.
See the ways in →For teamsTrain engineers on the systems you're shipping.Private internships built on your stack, team-level reporting, seats instead of energy.
Talk to us →Pick one. Build something real this week.
Look around first — you don't need an account to browse.