Cybersecurity & Ethical Hacking with GenAI: Zero to Pro
Cybersecurity and Ethical Hacking with GenAI and Python: A Complete Guide to Hacking, Defense, and AI Security Tools
4.25 (12 reviews)
198
students
11 hours
content
Feb 2025
last update
$79.99
regular price
What you will learn
Students enrolled in this course will gain a comprehensive understanding of cybersecurity and IT security fundamentals.
They will learn strategies to protect against hackers and prevent hacking attempts.
They will delve into IT security and information security (INFOSEC).
Students will develop robust cybersecurity defense strategies.
The course covers networking basics and their crucial role in cybersecurity.
Learners will explore ethical hacking techniques, starting from a beginner's perspective.
They will progress to mastery of Kali Linux command line essentials.
They will learn how to conduct information gathering, reconnaissance, and vulnerability analysis.
Students will explore exploit techniques and engage in hands-on exploitation using the Metasploit Framework.
Advanced security measures such as password attacks, wireless security, and web application security are integral parts of the curriculum.
Students will learn automated web vulnerability scanning and social engineering.
The course delves into the integration of artificial intelligence into cybersecurity strategies.
It covers topics like cybersecurity with Generative AI and OpenAI.
Students will utilize Python for cybersecurity applications.
They will master threat detection and response with GenAI.
Practical experience with tools like Splunk is provided.
Techniques for anonymous browsing and privacy protection are taught.
Through hands-on projects, students will develop an AI hacking tool.
They will perform packet analysis and encryption.
Students will build an AI-powered Windows Event Log Analyzer with OpenAI integration and machine learning.
Social Engineering with GenAI
NIST Framework
Simulated Phishing Attack
Course Gallery
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6160745
udemy ID
02/09/2024
course created date
24/11/2024
course indexed date
abhi4027
course submited by