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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 6.2 Parsing and Cleaning Logs with Regular Expressions
2 6.3 Failed Login Tracker (Lab)
3 6.4 Working with SQLite Databases
4 6.5 Store Alerts in SQLite (Lab)
5 6.6 Building a CLI Mini-SIEM
6 6.7 Exporting to CSV/EXCEL/JSON
7 6.8 Daily Incident Report Generator (Jinja2 + Exports)
8 6.9 Automating Your Tools with Cron & Task Scheduler
9 6.10 Bonus Lab: Tkinter GUI for Your Mini-Siem
10 6.11 Bonus Lab: Flask Web Frontend for our Mini-SIEM
Module 7 Securing, Debugging & Deploying Python Tools
11 7.0 Introduction to Securing, Debugging, & Deploying your tools!
12 7.1 Input Validation and Secure Coding Practices
13 7.2 Error Handling and Logging
14 7.3 Writing Readable Code: Comments, Docstrings, and Structure
15 7.4 Packaging Your Tool for Reuse
16 7.5 Version Control with Git & Creating a Project ReadMe
17 7.6 CLI Tool Debugging Challenge (Lab)
18 7.7 Bonus: Coding Signing and CLI Tool Verification
Module 8 Build Your Arsenal – The Capstone Project
19 8.0 Welcome to the Final Forge
20 8.1 Identify the Problem
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