Codritium Academy
Where engineers go
when they’re done watching.
Built and presented by a former Anthropic engineer.
Every course. Hand-picked. Industry-vetted.
Used by engineers at
Why us
This isn’t a course platform.
We don’t ship videos. We don’t ship bootcamps. We don’t ship anything you can finish without thinking. Every unit is hand-built and industry-vetted — the material is what engineers at the top AI labs and tech companies actually use to ship work, not what content platforms sell to people who don’t yet know what they don’t know.
The filter
Every chapter, every primitive, every code example is checked against what actually ships at the top AI labs and the biggest tech companies. Not the simplified version. The real one. Whether you are a student aiming at your first offer, a career-switcher entering tech, or a working engineer pivoting into the AI era, you read the same material the people at the top of the field use.
The shortcut
A university degree takes four years and graduates you into a syllabus written before LLMs existed. Bootcamps take three months and ship you into yesterday’s tools. Free resources take you a year and you’re still unsure if you’re ready.
Codritium installs the AI-era engineering mindset in weeks — the patterns, the vocabulary, the verification skills the schools and the bootcamps don’t teach because they didn’t exist when those programs were designed. This is the fastest path past a traditional degree we know how to build, and it’s aimed at the job you actually want.
The method
We don’t teach you a stack. We install a mindset that survives the next ten stacks. In the AI era, information is cheap. Books are out of date the day they ship. ChatGPT will lecture you for an hour on something it half-understands. None of that lands you the role.
What lands the role is validated, sharp, prioritized knowledge delivered text-first — so you can absorb it, search it, and apply it without scrubbing a 90-minute video for the one minute that matters. Reading is faster than watching. Writing is faster than listening. The job is text.
Who it’s for
Anyone serious. You don’t need a CS degree. You don’t need a decade of experience. You don’t need to already know how to code — the foundation course meets you where you are and walks you to the first offer. Students, self-taught, career- switchers, and working engineers pivoting into AI all read the same material because the bar is set by the industry, not by where you start.
The only thing we ask is that you want it badly enough to read, write, and verify — instead of watch and forget. If that describes you, the door is open.
Want it free? Read this first.
There are places to learn engineering for free. r/learnprogramming, YouTube, freeCodeCamp, MIT OpenCourseWare, the open internet. They taught most of us at some point. They’re honest about being free and you should go use them.
The risk: you’ll spend hundreds of hours filtering signal from noise. You won’t know what to skip. You won’t know what’s out of date. You’ll finish a six-week curriculum and still not be ready for a real loop. The platforms that monetize attention don’t owe you an outcome.
If your time is cheap and your job search isn’t urgent, go free. Come back when both are true.
By the numbers
Real outcomes from people who finished the work.
- 6,000+
- engineers placed in high-tech roles
- A$14k+
- median monthly salary among senior alumni
- 100+
- alumni-founded startups shipped worldwide
Engineers who shipped through these courses now work across Google, Meta, OpenAI, TikTok, Anthropic, and dozens of high-growth startups — many founded by alumni themselves.
What we teach
10 courses available
Zero to AI Engineer
Skip the bootcamps. Skip the videos. Become an AI engineer in a weekend.
An honest, read-only course on the new shape of software engineering. Side-by-side: traditional vs AI-era. How working engineers actually ship now. What skills the new role rewards. What companies test for. The mindset that survives the next ten model releases.
Learn more →Prompt to Production
Stop being a vibe coder.
Ship software you can actually explain. The loop senior engineers use: spec → build → verify → deploy → observe → iterate.
Learn more →Blank to Browser
Your first site, shipped. Four days if you push, two weeks if you don't.
From a blank file to a live portfolio at a public URL. HTML, CSS, vanilla JavaScript, React, Next.js, and a Vercel deploy. Six chapters of do-shaped units that build one product: yours.
Learn more →Tutorial to Engineer
Stop following along. Start thinking like an engineer.
A short, free course on how to actually learn. Why tutorials fail, what people believe that isn't true, and a simple loop that puts things in your head — including how to learn with AI without dulling your thinking.
Learn more →Vibe to Spec
Stop wishing at the model. Start writing prompts you can verify.
A short, free course on prompt engineering for software work. The mental model, the anatomy of a precise prompt, and side-by-side bad-vs-good examples for code review, debugging, refactoring, and writing — plus the failure modes nobody names.
Learn more →Sketch to Eval
What 'works' actually means for an AI feature — and how to measure it.
A short, free course on evaluating AI outputs. From the smallest eval set that's still useful to designing for adversarial cases, reading regression vs noise, and running evals once real users are involved. Read-only, with TypeScript code samples grounded in a single recurring example: extracting structured data from customer support tickets.
Learn more →API to Architecture
From client.complete() to systems that survive production.
Design patterns for AI engineering. Fourteen named patterns — RAG, tool use, agent loops, structured outputs, evals, fallback cascades, and more — each with worked TypeScript examples, when to use, when not, and the failure mode each one prevents.
Learn more →Script to Swarm
Stop watching agents. Start shipping them.
The autonomous AI agent engineering course. From a single Python asyncio script to multi-agent swarms running in production with human-in-the-loop, evals, tracing, guardrails, and a public portfolio. Twelve stages, seven capstones, every pattern an AI agent developer actually ships.
Learn more →Question to Offer
Real interview questions from twenty-four companies. The hidden grading criteria for each.
System design and technical interviews, organized as real scenarios at Google, Meta, Stripe, AWS, Netflix, Apple, Uber, Figma and sixteen more. Every unit dissects one question end to end — what's actually being tested, requirements, estimation, design, deep dives, failure modes, take-home prompt, and the green/yellow/red rubric the panel agrees on but never writes down.
Learn more →Click to Career
The bootcamp for people who only know how to click.
The full bootcamp: from never touching a terminal to shipping a full-stack TypeScript app and clearing the interview pipeline at a junior AI-engineer role. Thirty-two chapters across foundations, web, engineering hygiene, frontend, backend, quality, AI tooling, production reality, career, and getting hired. Roughly five hundred and forty short, dense units. One gated assignment closes every chapter.
Learn more →
What graduates do
Built for the new generation of AI engineers.
Codritium is for the engineer building in the AI era. We don’t pad chapters with the API-design tutorials universities still ship. We don’t send you to coding tests as a finish line. We teach the bar the bar raisers actually grade you against — and the patterns that didn’t exist when most of today’s degree programs were designed.
30%
more interview callbacks
for AI-era engineering roles at top companies
28 h
saved each week
vs ad-hoc study and AI rabbit-holes
60%
less likely to stall
on a real system-design round
Every unit ends with a rubric. You know what hire-strong looks like at every checkpoint. The path is short because the path is direct. The companies don’t score you on tutorials finished — they score you on signals delivered. That’s what we train.
Faster than a degree. Sharper than a bootcamp. Validated where free isn’t.
A traditional CS degree is four years on a curriculum written before LLMs existed. A bootcamp is three months on yesterday’s tools. The free internet is unfiltered, untimed, and never owes you an outcome. Codritium is the single-source, pre-vetted path to a real engineering role in the AI era — the fastest way we know how to overtake a graduate who spent four years on the wrong material.
Codritium is the highest-probability path we know of from where you are today to the engineering role you actually want.
Success stories
What alumni did with these courses.
“I came in as a career-switcher from finance. Six months after finishing Prompt to Production I had three FAANG offers. The loop isn't a metaphor — I use it every day.”
Priya N.
Senior Backend Engineer · Google
“I'd built three AI demos that died in production. API to Architecture named every pattern I'd been reinventing badly — and now my work survives real users.”
Marcus T.
AI Engineer · OpenAI
“Self-taught from a blank file to a Meta offer in nine months. Blank to Browser was the first course that ended with me having a real site, not a tutorial-shaped one.”
Jessica L.
Frontend Engineer · Meta
What makes this different
A different kind of engineering course.
Where it comes from
Based on real workplace practice.
These courses are written by engineers with experience inside the teams that ship the systems you read about. Same patterns, same loop, same rigor — extracted from how senior engineers actually onboard and review work, not from textbook abstractions.
Who built it
Engineers who've shipped at top labs.
The material is designed by engineers who've worked at TikTok, Anthropic, and other top-tier labs — not by content marketers writing about engineering. Every code example, every pattern, every anti-pattern came from real production failure modes someone has actually seen.
What you won't find
No PDFs. No templates. No upsell.
We don't sell stress-printable PDFs, prompt template packs, or productivity bundles. There is no Discord with 8,000 lurkers. Just the courses, written like real engineering documentation, with worked examples that you copy and adapt. Read in a weekend, apply for a career.