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SELF-PACED AI INTERNSHIPS

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.

Browse the internships →Enroll free — 175 ⚡
No card to start · 175 ⚡ free — enough for your first beginner or intermediate internship, end to end

The techniques you'll build are running in production at

Google·OpenAI·Anthropic·Meta·Microsoft·Hugging Face·Amazon·NVIDIA·Uber·Netflix·Cloudflare·Spotify·Groq·GitHub

Named for where a technique is used. No affiliation or endorsement implied.

Campuses on askThili

Ahalia School of Engineering & TechnologyAhalia School of Engineering & Technology
Nehru College of Engineering & Research CentreNehru College of Engineering & Research Centre
LEAD College (Autonomous), PalakkadLEAD College (Autonomous), Palakkad
Vidya Academy of Science & TechnologyVidya Academy of Science & Technology
Ramaiah Institute of Technology, BengaluruRamaiah Institute of Technology, Bengaluru
Real
Real projects industry ships.

Not toy datasets. An agent memory engine, a DDoS detector, a dynamic-pricing engine — systems in production at named companies right now.

Grounded
Backed by the papers.

Every internship traces to the research that invented the technique — the landmark papers themselves, linked and read, not summarised.

Mentored
A mentor who never leaves.

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.

STEP 1Enroll free

Make an account and enroll. Your 175 ⚡ starting balance covers your first internship — no card, no subscription.

STEP 2Read the build

The complete notebook, every cell and its real output, rendered in your browser. Nothing to install to start reading.

STEP 3Build it yourself

Then write it in your own environment, the way you would at work — with askThili answering from the section you're on.

STEP 4Submit and get scored

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.

tour · Beginner · 4 sections · ~32 min · 50 ⚡
🛠 Train a small neural network in PyTorch and read the four steps of a training loopWhat you'll do
⌁ Training loops, run monitoring, in-process analytical SQL and scalable reinforcement learning are everyday parts of an applied AI team's toolchain. PyTorch was created at Meta, TensorBoard at Google, Ray RLlib at Anyscale and the UC Berkeley RISELab, and DuckDB by DuckDB Labs.Where it's used
📄 From 2 original research papersGrounded in research
💬 Stuck? Ask askThili — it knows this exact section.Mentor, in context

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 →🎁 Or buy a track — unlock a whole path at once →
tour

A Developer's Toolkit for the 2020s

Beginner· ~32 min
🛠 Train a small neural network in PyTorch and read the four steps of a training loop
⌁Training loops, run monitoring, in-process analytical SQL and scalable reinforcement learning are everyday parts of an applied AI team's toolchain. PyTorch was created at Meta, TensorBoard at Google, Ray RLlib at Anyscale and the UC Berkeley RISELab, and DuckDB by DuckDB Labs.
MetaGoogleAnyscale
📄 2 papers50 ⚡
tour

Agents: A First Look

Beginner· ~32 min
🛠 Run a tool-using agent loop and read its thought, action and observation trace
⌁The same loop sits inside tool-using assistants; agent development kits and the Model Context Protocol are common ways to connect a model to tools.
OpenAIGoogleGroq
📄 1 paper50 ⚡
functions

AI for Finance

Intermediate· ~48 min
🛠 Rebuild a margin bridge by hand and separate the causes the numbers show from the stories that only sound right
⌁How finance analysts use AI assistants on variance, cash, credit and expense work — rebuild the figures, compare two runs, test the rule on its edges, keep a ledger of where every number came from, and report ranges and decisions to the CFO.
200 ⚡
functions

AI for HR

Intermediate· ~48 min
🛠 Work out who left from which groups by hand, and sort every driver into a lever, an attribute that must not be used, or an open question
⌁How HR analysts use AI assistants on attrition, hiring, pay and skills — sort drivers into levers and attributes, read small numbers carefully, ask for the interval and the method, keep a ledger of where every figure came from, and state how personal data was handled.
200 ⚡
functions

AI for Marketing

Intermediate· ~48 min
🛠 Group loyalty members by recency, frequency and spend, and spot the group a recency screen mislabels in a festival business
⌁How marketing analysts use AI assistants on customer, campaign, churn and review work — check the calendar before calling anyone lapsed, compare change against change, ask when each field is known, label a sample by hand, keep a ledger of where every figure came from, and report ranges and decisions to the marketing head.
200 ⚡
functions

AI for Supply Chain: Plan the Festival Stock

Intermediate· ~56 min
🛠 Score an AI forecast against held-back weeks and find where it is biased, not just how large its average error is
⌁How supply planners use AI assistants on a festival-driven product range — forecast and score against held-back weeks, size safety stock from lead-time history, compare carriers on each lane, classify the range, and send a memo that states ranges and dependencies.
📄 1 paper200 ⚡
tour

AI on Google Cloud, AWS and Azure: A Map

Beginner· ~32 min
🛠 Match each cloud's service to the job it does — a hosted language model, a ready-made speech service, training your own model, and rented accelerators
⌁Anyone choosing where to run an AI feature meets this comparison, because the three clouds sell the same few jobs under different names and change those names often.
GoogleAmazonMicrosoft
50 ⚡
founder

Ask AI to Analyse Your Data

Beginner· ~48 min
🛠 Write down the decision first, then ask Claude for an analysis aimed at it
⌁How careful analysts use AI assistants on spreadsheets — state the decision, ask for the working, reconcile what was changed, cross-check with a second run, and record how sure they are before a number goes to anyone else.
📄 3 papers200 ⚡
Tabular ML & data

Audit a Loan Model

Intermediate· ~32 min
🛠 Explain a single approval decision with a Shapley estimator you build, and compare it with permutation importance
⌁The model-risk and responsible-AI review that credit, insurance and hiring models go through before and after launch — FICO, IBM's AI Fairness 360, and the regulators who ask for explanations.
FICOIBM
📄 4 papers50 ⚡
python

Build a Budget Tracker App

Beginner· ~1h 28m
🛠 Use Python's core datatypes, control flow, and data structures to build working, real logic
⌁Every real budget app — Mint, YNAB, GnuCash among them — is built from exactly this stack: a class model for the domain, persistence, a UI, and background work that doesn't freeze the interface. Streamlit itself (owned by Snowflake) is a widely-used real-world way teams build and ship exactly this kind of tool today.
IntuitYNABGnuCash
50 ⚡
Tabular ML & data

Build a Card-Fraud Detector

Intermediate· ~32 min
🛠 Show why a model that is 99.8% accurate and catches no fraud is worthless, and score rare events with precision-recall instead
⌁The fraud and risk scoring behind card payments and online checkout — Stripe, PayPal, American Express, Feedzai — and any team that must find a rare event among millions of normal ones.
StripePayPalAmerican Express
📄 4 papers50 ⚡
logistics

Build a Carrier Booking Agent

Advanced· ~48 min
🛠 Build an intake step that grades every extracted field by whether the thread states it, and resolves a pickup date against a calendar or refuses
⌁DHL Supply Chain runs HappyRobot AI agents over hundreds of thousands of emails and millions of voice minutes a year for appointment scheduling and driver follow-up. Brokers and 3PLs apply the same pattern to their tender inboxes, where a wrong booking costs a truck.
DHLFlexportC.H. Robinson
📄 4 papers200 ⚡

An internship, not a course.

The difference shows up on your CV, not on a certificate.

A courseA Learn {} Fast internship
What you doWatch, then quizBuild, then defend it
Organised byTopics — “Module 7”Outcomes — “Build X”
Source materialA summary of a summaryThe original papers
When you're stuckA forum, two days lateraskThili, the same second
You end withA certificateA 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.

askThili· reading §4 — Training the discriminator
Grounded in your section · not the whole internetSee how it works →

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.

2.4/3
Capability score
Two halves: what you know, and what you shipped.

A completion test written against that internship's own material, plus a rubric review of the repo you actually pushed.

Three levels of thinking, not one.

Questions span recall, application and creation — so the number reflects whether you can use the idea, not whether you recognise it.

Deterministic, and the same every time.

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.

It compounds.

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.

transformersattentionCNNsRLRAGGANs

Pay for what you learn.

No subscription you forget about. Energy powers your internships — top up only when you want more.

⚡ 175 free to start — enough for your first beginner or intermediate internship, end to end
From 50 ⚡ for a beginner internship · 200 ⚡ for an advanced one
No lock-in, no subscription. The completion test is always free.
For institutionsBring askThili to your campus.

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 L&D teamsOnboard and upskill your engineers.

Hands-on internships with team-level reporting. Customise the drills to your domain if you want, and connect the LMS you already have.

See how it works →For employersHire students who have already done the work.

Post a job or an internship, see how many students are ready, and meet the ones who choose to apply.

See how it works →

Pick one. Build something real this week.

Look around first — you don't need an account to browse.

Enroll free — 175 ⚡Browse the internships →