Build routes
Three hands-on guides for going from Python basics to shipping AI systems. Each is a sequence of short stops; the build guides end in a project you make yourself.
Route 1
Python to FastAPI
Python essentials for applications, the FastAPI toolkit, Postgres with SQLAlchemy, Redis caching. Capstone: a URL shortener.
Open route 1Route 2
AI foundations
A crash course with diagrams: how LLMs work, Claude and its API, tools, embeddings, vector databases, RAG, agents, MCP and evals.
Open route 2Route 3
AI engineering
LLM APIs, structured outputs and tools, RAG with pgvector, evals, MCP, agents with LangChain and LangGraph, production concerns. Capstone: a docs assistant.
Open route 3Where to start
New to building backends in Python? Start with route 1. New to LLMs? Read route 2 before route 3, which assumes both.
Your progress
Mark stops as done inside each guide. Progress is saved in this browser only.
Source
Plain HTML, no build step. View the repository.
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