AI/ML fluency first, cloud and DevOps on top
A curriculum built to turn freshers and career-switchers into working AI/ML engineers — free to read, with free live sessions. Guided training adds the one thing a page cannot: someone reading your actual work and telling you what to fix.
5 free courses · no sign-in
Every session is public: open a course and start. Nothing to sign up for, nothing to pay.
8 sessions · self-paced · read online
Eight hands-on sessions on AWS for freshers: a safe account, permissions, storage, servers, networks, a database and serverless code, ending in a small app you deploy and then tear down.
8 sessions · self-paced · read online
Eight sessions on how language models really behave: tokens and sampling, cost and latency, prompts and context, structured output, choosing a provider, and using AI responsibly.
8 sessions · self-paced · read online
Eight sessions on retrieval-augmented generation: embeddings and vector search, grounded answers with citations, why retrieval fails, evaluation suites and catching hallucinations.
11 sessions · self-paced · read online
Eleven sessions on agents that take real actions: tool calling, the Model Context Protocol, the agent loop, memory, access control, human approval and guardrails, ending in a capstone feature.
9 sessions · self-paced · read online
Nine sessions on running AI systems for real: where models run, reference architectures, scaling, cost, observability and audit, ending in a design you defend with decision records.
Self-learning
Free, permanently
The whole AI/ML curriculum, free to read with no trial period and no card. Plus free live sessions where you can ask what is actually blocking you.
Start the free guide →Guided training
Billed monthly
Your work read and your code reviewed, with the project-based internship included from day one. No total, no lock-in — stop any month you like.
See the tracks →One-to-one mentorship
Billed monthly
Everything above, plus a weekly one-to-one call and written review of your internship project. Usually the right fit for a career switch.
Talk about the right fit →Guided pricing is agreed with you before you commit to anything. Whichever rung you pick there is no total fee, no loan, no income-share agreement and no credit check — you only ever owe the current month, and finishing sooner costs you less.
Included, not sold separately
It is the project part of the course, not a separate job — no external client and no stipend. You build and deploy real work, you keep it, and every enrolled student does it, so there is no application and no selection.
Free to join
Work through the material on your own, then bring what is stuck to a live call. Free, nothing to install, and no payment involved at any point.
A lot of bootcamp marketing leans on placement percentages nobody can verify. We'd rather publish nothing than publish a number we can't stand behind, and we'll show you real, specific alumni outcomes only once the people involved have agreed to be named.
The guided programs are shaped around your background in a real conversation, not a fixed shopping-cart tier. The AI/ML Engineering Guide stays genuinely free — no "free trial" bait.
Judge the teaching before you pay for any of it.
Guest sessions, faculty collaboration, and campus events — we work directly with colleges to bring this curriculum on-campus.
Reading the curriculum costs nothing and needs no sign-up. When you want your work looked at, tell us where you are and we will tell you what makes sense.