intermediate6 Bytes15m / Byte

Cybersecurity in the Age of AI

Explore the intersection of AI and cybersecurity, focusing on AI-driven threats and defenses. You'll analyse adversarial AI techniques, learn to implement AI-powered security measures using tools like TensorFlow and Scikit-learn, and develop strategies for securing AI systems against attacks. By the end of this course, you'll be able to identify vulnerabilities in AI models and deploy robust security protocols.

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Lessons
6
Price
Free
Course Curriculum

What you'll learn

3 Modules
6 Lessons
~30m total
01
01
Module 01
AI Threat Landscape
This module introduces the evolving landscape of AI-driven cybersecurity threats. You'll explore various attack vectors and learn how AI is being weaponized by malicious actors. Key concepts include adversarial attacks, data poisoning, and model evasion techniques.
2 lessons10 min
0%
▾
02
02
Module 02
AI Security Strategies
This module focuses on implementing AI-powered security measures to protect against cyber threats. You'll learn how to use AI for intrusion detection, anomaly detection, and threat intelligence. Key tools include TensorFlow, Scikit-learn, and various cybersecurity frameworks.
2 lessons10 min🔒 Locked
0%
▾
03
03
Module 03
AI in Cyber Warfare
This module explores how AI is being used in both offensive and defensive cybersecurity strategies. We'll examine adversarial AI techniques and AI-driven threat detection systems using Python and TensorFlow.
2 lessons10 min🔒 Locked
0%
▾
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Cybersecurity in the Age of AI
30/05/2026
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