Python

Python Engineering v1.0

Python as a working tool — automation first, then security tooling.

Academic hours130

Class sessions65

Python Fundamentals

20 academic hours

The language itself, written the way it's actually used at work.

Python for Automation

24 academic hours

Scripting real operational tasks instead of doing them by hand.

Working with APIs & Data

22 academic hours

Pulling, parsing and reshaping data from real external sources.

Python for Security Tooling

26 academic hours

Building small internal tools: parsers, API clients, quick analysis scripts.

Capstone: Internal Tooling Project

38 academic hours

A real tool, built end to end, that someone would actually use.

Ready to put this together into a course?