Description
A Deep Dive into LLM Red Teaming. This advanced, hands-on course focuses on penetration testing and securing large language models and is designed for AI professionals, cybersecurity experts, and penetration teams. Participants will learn how to attack and defend against AI vulnerabilities through practical techniques. The course content covers comprehensive topics such as instruction injection, model constraint breaking, indirect attacks, and system message manipulation. Throughout the course, various practical scenarios, including direct and indirect injection, are demonstrated, and advanced tactics such as multi-stage manipulation and concealing malicious intent in normal inputs are explored. Participants will also learn how to design custom testing frameworks and use open source tools to automate the vulnerability discovery process. By the end of this course, learners will have a deep understanding of resistance testing, a thorough understanding of how language models can be exploited, and the ability to develop AI systems that are resistant to attacks. This training is essential for anyone interested in mastering the offensive and defensive aspects of AI security.
What you will learn
- Identify and exploit common LLM vulnerabilities such as Prompt injection and jailbreaks.
- Design and execute penetration testing scenarios to test the behavior of the AI model under attack.
- Analyze and bypass system-level protections in LLMs using advanced manipulation tactics.
- Building a testing framework to automate the discovery of security flaws in language models.
This course is suitable for people who:
- AI Enthusiasts, Prompt Engineers, Ethical Hackers, and developers curious about LLM security and penetration testing.
- Beginner to intermediate learners who want hands-on experience testing and debugging large language models.
- Anyone building or deploying LLM-based applications who wants to understand and defend against real-world threats.
Course details
- Publisher: Udemy
- Lecturer: Ing.Seif | Europe Innovation
- Training level: Beginner to advanced
- Training duration: 2 hours and 32 minutes
- Number of lessons: 21
Course topics
Prerequisites for the A Deep Dive into LLM Red Teaming course
- Basic understanding of how large language models (LLMs) work is helpful, but not required.
- No prior cybersecurity experience needed, you’ll learn red teaming concepts from scratch.
- A curiosity to explore how AI systems can be attacked, tested, and secured!
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
969 MB
