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

Security & Ethical Hacking: Attacking Web and AI Systems
This course is part of Security and Ethical Hacking Specialization

Instructor: Ahmed M. Hamza
Included with
Recommended experience
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
- Cyber Security Assessment
- Server Side
- Security Awareness
- Data Ethics
- Exploitation techniques
- Cyber Attacks
- Vulnerability Scanning
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- AI Security
- Responsible AI
- Authentications
- Secure Coding
- Data Security
- Large Language Modeling
- Application Security
Tools you'll learn
Details to know

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There are 4 modules in this course
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Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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