Artificial Intelligence & ChatGPT for Cyber Security 2025
Master Cyber Security/Ethical Hacking With Artificial Intelligence - Implement, Uncover Risks and Navigate The AI Era
4.63 (4008 reviews)
12 447
students
7 hours
content
Jan 2025
last update
$79.99
regular price
What you will learn
Learn ChatGPT for Cyber Security
Learn Prompt Engineering
Use Advanced ChatGPT functionality
Implement Bypassing ChatGPT filters
Learn Social Engineering with Artificial Intelligence
Create a Voice Clone with AI
Create Deepfake Videos For Social Engineering with AI
Learn AI Based SIEM
Learn AI Based Firewalls
Learn Email Filtering with AI
Learn AI In Identity and Access Management
Build an Email Filtering System with AI and Python
Build a Phishing detection system with AI and Python
Implement Artificial Intelligence in Network Security
Using Logistic Regression Algorithm for Network Monitoring
Create Malware Detection system with AI and Python
Learn Decision Trees Algorithm
Learn K-Nearest Neighbors Algorithm KNN
Learn Data Poisoning Attack
Cover Data Bias Vulnerability
Learn Model Vulnerabilities
Cover Ethical Concerns of Artificial Intelligence and ChatGPT
Learn Basics of Cyber Security
Learn Basics of Artificial Intelligence
Learn Basics of Python Programming
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Our Verdict
This course offers a fresh blend of practical programming exercises, timely ChatGPT integration, and AI applications within the context of cybersecurity risks. Despite minor shortcomings such as slow pacing and some repetition, it stands out with its engaging approach to building email filtering and phishing detection systems. Although not perfect, this course still earns a strong recommendation for both newcomers and seasoned professionals aiming to explore the crossroads of AI and cyber security in 2025.
What We Liked
- Up-to-date curriculum covering ChatGPT for cyber security, social engineering, and AI applications in cybersecurity tools.
- Hands-on approach using Python programming to build email filtering and phishing detection systems.
- Comprehensive exploration of the role AI plays in current cybersecurity measures such as SIEM systems, firewalls, and IDS/IPS.
- Addresses AI security risks including data poisoning, data bias, model vulnerabilities, and ethical concerns.
Potential Drawbacks
- Some content may be repetitive for those with a basic understanding of AI and cybersecurity principles.
- The pacing of the training may be slow for more experienced professionals.
- Limited focus on using alternative AI tools like Bard, Claude, or Bing Chat in cyber security scenarios.
- Lack of hands-on experience in network security and malware detection in later sections.
5666936
udemy ID
19/11/2023
course created date
18/01/2024
course indexed date
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