For the self-taught AI engineer
The structured path to becoming an AI engineer.
Read 88 sections of curriculum in order. Drill yourself on every one of them in your own words. Ship the 12 gate projects you can point at in interviews.
Free while in beta. Bring your own OpenAI key.
Why this exists
The AI space gives you everything except a path.
There are great articles, courses, papers, and threads for every piece of AI engineering: embeddings, agents, evals, deployment. The problem isn’t access. It’s that they’re scattered, contradictory, and unordered. Most self-taught learners end up with fifty open tabs and a shaky mental model of how anything connects.
StudyFabric collapses the path into one curriculum, in order, with active recall after every section and a gate project at the end of each phase. You read it, you get drilled on it, you ship the artifacts that prove you can build, taking you from intro to job-ready.
By Chinasa
Inside the curriculum
Four phases. Eighty-eight sections. Twelve gate projects.
Tokens, cost, prompts, context windows, and evals.
Embeddings, chunking, vector search, and RAG patterns.
Tool calling, deterministic workflows, and agent loops.
Deployment, monitoring, and interview-ready artifacts.