From your first script to shipping production services. Backend, automation, data handling, testing — the breadth that makes Python the default tool for serious software work.
Every module pairs theory with hands-on application. By the end, you'll have shipped real work in each one.
Types, control flow, functions, OOP. Done properly — including why decorators and context managers matter.
Build with FastAPI or Django. Handle auth, validation, rate limiting, and errors like a grown-up.
Pandas, requests, file I/O, working with messy real data. The 80% of the job that isn't algorithms.
pytest, mocking, debugging tools. Code that doesn't fall over in production.
asyncio, concurrency, profiling. Knowing when speed matters and how to find the slow bits.
Ship a real Python service or tool — running alongside the curriculum. Code reviews from senior engineers throughout.
Production-grade APIs, scripts, and tools — properly structured, tested, and deployed.
Tests, type hints, docs, code reviews. The skills that separate hobbyists from professionals.
Profile, trace, fix. Stop adding print statements; learn the real tools.
Portfolio of production-style work. Code samples senior engineers will actually want to read.
This track opens later this year. Drop your details and we'll let you know the moment intake opens.