In this course you will learn how the security of web-based software, including deployed AI agents, can be compromised. Real-world attacks we study are conducted against a variety of web technologies and frameworks. In addition, we will introduce the topic of Adversarial Machine Learning (exploiting algorithms and learning techniques) in the Artificial Intelligence domain, including Language Models. We will review and study modern, cutting-edge research in this area.
Security & Ethical Hacking: Attacking Web and AI Systems
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Perform and prevent web application attacks and knowledge of defensive techniques.
Understand AI/ML platform and model attacks as an extension of web attacks.
Describe the range of attacks on artificial intelligence algorithms and systems (adversarial machine learning).
Skills you'll gain
Details to know
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Recently updated!
August 2025
Assessments
15 assignments
Taught in English
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There are 4 modules in this course
In this module, we introduce the protocols of the World Wide Web communication, history, and examine several important attack types targeting the server directly through vulnerabilities of web applications – including logic flaws not tied to a particular software weakness.
What's included
2 videos9 readings7 assignments
In this module, we study exploit categories incorporating the client/browser (and assumed privileges of the client) in web attacks, including defenses and potential bypasses.
What's included
1 video8 readings4 assignments
Function-calling language models (AI agents) present unique risks. We practice attacks on live, deployed models that have excessive agency in their server environments, presenting modern, high-level exploitation primitive in web-deployed language agents.
What's included
1 video2 readings3 assignments
This module is an introduction and deep dive into more fundamental, algorithmic types of exploitation against AI systems, namely through study (and careful manipulation) of the machine learning models that power them.
What's included
1 video4 readings1 assignment
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