Guidance only
You type. We explain.
Nothing on this site executes commands. You practice on Windows (WSL), macOS, or Linux — the same kind of machine data and AI work actually uses.
Data Engineering · Foundations
Learn the craft from the terminal up.
A free roadmap for Data Engineering and AI. This site guides — it never runs commands for you. Start with Linux if you have never opened a terminal, then Docker and Compose.
A path, not a dump
Roadmap first
Foundations (Linux, Docker, Python, SQL, Git) then Data Engineering. The foundations spine is ready. Apache Airflow is the first Data Engineering module.
Made for beginners
No assumed terminal skill
Lessons start at “what is a prompt?” and end at logs, pipes, disk, and SSH — the weekly skills of DE and AI work.
Module 01
Linux fundamentals
About 6–8 hours, split across sessions. Set up a real terminal, learn the filesystem, read logs, peek at CSVs, and finish with a local lab: First data shift.
Open the Linux moduleModule 02
Docker and Compose
Images, containers, volumes, ports, and a Compose file. Finish with a local lab: First Compose shift — Postgres and a CSV load on your machine.
Open the Docker module