Build Track · hands-on

AI Project Lab — Build & Learn

Build a real AI-backed application from the ground up on a single Ubuntu VM — Docker, PostgreSQL, FastAPI, data pipelines, retrieval and RAG, agents, and security — one understandable, verified layer at a time. 92 hands-on steps across 14 phases, each producing a working, tested change to a system you own, plus a capstone.

Companion course: Theory Track — AI Internals ↗ explains how these systems actually work under the hood (tokens, transformers, embeddings, inference, GPUs). Build here; understand the mechanism there.

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