Codritium Academy
Courses
Direct, text-first courses that install a repeatable discipline rather than teach one tool.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.