Build a useful report on Linux, one mechanism at a time.
Begin with Linux Foundations. Write and run a saved report, then learn data, automation, evidence and tests through one growing project.
2 published lessons across 2 chapters, about 2 hours of work. Every lab runs on a real virtual machine in your browser, and checks your work on the machine itself.
Edit, save and run a manually labelled sample report on Linux.
Calculate and label sample byte counts with honest units.
Python for Linux Data and Automation has 2 published lessons, roughly 2 hours of guided work, spread across 2 chapters.
No. Every lab boots a real virtual machine in your browser, with a real Linux shell. There is nothing to install, and nothing on your own machine to break.
Labs in this track are rated beginner. The track starts from the beginning, so no prior experience is assumed.