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Python for Cybersecurity: Build Real CLI Tools for Offense and Defense with AI

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(0)
Instructor Image Brandon S. Keath
91 Lessons
$250.00
This course is currently closed
$250.00
This course is currently closed
Course Details

Python for Cybersecurity: Build Real CLI Tools for Offense and Defense with AI

Instructor Image Brandon S. Keath
91 Lessons
0
(0)
Current Status
Not Enrolled
Price
$250
Get Started
This course is currently closed

🔐 Python for Cybersecurity: Build Real CLI Tools for Offense and Defense (with AI)

Master the Art of Python Scripting for Cybersecurity — From CLI Basics to Powerful Tools

👨‍🏫 Instructor: Brandon S. Keath
⏳ Length: 4-8+ Hours
📈 Level: Beginner to Intermediate
🎯 Format: Video Lessons • Hands-On Labs • Downloadable Templates


🧠 Turn Python Into Your Most Versatile Cybersecurity Skill

Whether you’re red team, blue team, or somewhere in between — this flagship course gives you the skills to build, automate, and scale real command-line tools for cybersecurity.

You’ll go beyond syntax and theory, and learn to create actual usable tools for parsing logs, scanning networks, automating brute force attacks (ethically), exporting data, and more. Along the way, you’ll also harness AI-assisted workflows to rapidly prototype, test, and scale your scripts.

This isn’t another “learn Python” course. This is build-something-practical-from-day-one training.


💡 What You’ll Learn

✅ Build real CLI tools using argparse, sys.argv, and Python Fire
✅ Automate cyber workflows: log parsing, brute forcing, scanning, reporting
✅ Parse Nmap XML, Nessus, syslog, JSON, CSV, and more
✅ Export to Excel, Markdown, or JSON and even send via email or API
✅ Debug, document, and structure your tools like a professional
✅ Use AI prompts to accelerate tool design, testing, and refinement
✅ Build and submit a Red Team or Blue Team Capstone CLI Tool


🎯 What You’ll Be Able to Do by the End of This Course

This course was designed using Bloom’s Taxonomy to help you level up from basic Python knowledge to fully developed, tested, and documented cybersecurity tools.

IDLearning OutcomeSkill Level
LO1Recall and apply core Python programming structures in cybersecurity contexts (e.g., loops, functions, file handling)Apply
LO2Create modular command-line tools using Python libraries like argparse and sys.argvCreate
LO3Analyze and parse structured and unstructured cyber data (e.g., Nmap XML, logs, JSON) for automationAnalyze
LO4Build automated offensive and defensive tools for real-world use (e.g., port scanners, brute-force tools, log parsers)Create
LO5Evaluate and deliver CLI tools with clean output, error handling, documentation, and export/reporting featuresEvaluate

Course Launch August 2025

Course Content

1 8.2 Map the Solution
2 8.3 Build Iteratively
3 8.4 Add Features & Polish
4 8.5 Package & Document It
5 8.6 Submit & Showcase
6 8.7 Capstone Reflection
Module 9: Next-Level Cyber - Where You Go From Here
7 9.0 Welcome to the Next Stage
8 9.1 What's Next in Your Cyber Career?
9 9.2 Featured Course Tracks
10 9.3 Final Project Portfolio Tips
11 9.4 Join the Community
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