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
Access provided by IT Education Association
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
- Large Language Modeling
- Artificial Intelligence and Machine Learning (AI/ML)
- Secure Coding
- Vulnerability Scanning
- Application Security
- Cyber Attacks
- Server Side
- Authentications
- Data Security
- Responsible AI
- AI Security
- Exploitation techniques
- Cyber Security Assessment
- Artificial Intelligence
- Data Ethics
- Security Awareness
Tools you'll learn
Details to know

Add to your LinkedIn profile
16 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Explore more from Computer Science

University of Colorado Boulder




