AI For Ethical Hackers Full Course | AI in Cybersecurity | ChatGPT

Hands-on project ideas to practice and apply your learning

AI-Powered Reconnaissance Tool Development
Beginner 8h

Develop a simple AI-powered reconnaissance tool that uses ChatGPT to gather and analyze publicly available data about a target network. This project introduces beginners to AI in cybersecurity.

Real-World Context: This project simulates initial stages of penetration testing where reconnaissance is crucial for understanding the target environment.
Learning Objectives
  • Understand the basics of AI in reconnaissance
  • Learn to use ChatGPT for data analysis
  • Develop a simple script for automated data collection
Skills Practiced
Basic scripting Data analysis
Deliverables
  • A script that collects data using AI
  • Documentation explaining the data collection process
  • A report summarizing findings from a test run
Success Criteria
  • The script successfully collects and analyzes data
  • The documentation is clear and comprehensive
  • The report accurately reflects the data collected
Required Tools & Technologies
Python ChatGPT API
Concepts from Resource
AI-assisted penetration testing ChatGPT for cybersecurity
Project Type:

Individual

Industry Context:

Cybersecurity

Automated Vulnerability Scanning with Machine Learning
Intermediate 8h

Create an intermediate-level project that involves developing an automated vulnerability scanning tool enhanced by machine learning algorithms to prioritize vulnerabilities based on risk.

Real-World Context: Professionals use automated tools to efficiently identify and prioritize security risks, enhancing the security posture of their organizations.
Learning Objectives
  • Implement machine learning models in vulnerability scanning
  • Learn to prioritize vulnerabilities based on risk assessment
  • Enhance scanning processes with AI
Skills Practiced
Machine learning implementation Vulnerability analysis
Deliverables
  • A functional vulnerability scanning tool
  • A machine learning model for risk assessment
  • A comprehensive report detailing vulnerabilities found and prioritized
Success Criteria
  • The scanning tool identifies vulnerabilities effectively
  • The machine learning model accurately prioritizes risks
  • The report is detailed and actionable
Required Tools & Technologies
Python Scikit-learn
Concepts from Resource
Automated vulnerability scanning Machine learning in security
Project Type:

Team

Industry Context:

Cybersecurity

Advanced AI-Assisted Threat Modeling
Advanced 8h

Develop an advanced AI-assisted threat modeling framework that integrates ChatGPT to generate and simulate potential attack vectors, enhancing proactive defense strategies.

Real-World Context: Organizations use threat modeling to anticipate potential security breaches and develop strategies to mitigate them, improving overall security resilience.
Learning Objectives
  • Design an AI-assisted threat modeling framework
  • Use ChatGPT to simulate attack scenarios
  • Develop strategies for proactive defense
Skills Practiced
Threat modeling AI simulation
Deliverables
  • A comprehensive threat modeling framework
  • Simulated attack scenarios using ChatGPT
  • A strategic report on defense mechanisms
Success Criteria
  • The framework effectively models potential threats
  • Simulations are realistic and informative
  • The report provides actionable defense strategies
Required Tools & Technologies
Python ChatGPT API
Concepts from Resource
AI-assisted threat modeling ChatGPT for cybersecurity
Project Type:

Classroom

Industry Context:

Cybersecurity

Projects Overview
Total:
3 projects
Beginner:
1
Intermediate:
1
Advanced:
1
Total Time:
~24 hours
Getting Started
  1. Start with beginner projects if you're new to the topic
  2. Review the resource material before beginning
  3. Set up the required tools and technologies
  4. Follow the learning objectives step by step
  5. Document your progress and learnings
  6. Share your completed projects for feedback
Resource Details
Type:
youtube_video
Difficulty:
intermediate
AI-Generated Content

These project ideas were generated using AI to provide practical, hands-on learning experiences based on the resource content.

Projects are designed to reinforce learning through real-world application and skill development.