Master LLM security: prompt injection defense, output filtering, plugin safeguards, red teaming, and risk mitigation
Sub Category
- Network & Security
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Objectives
- Understand and apply the OWASP Top 10 security risks for large language model applications
- Detect and mitigate vulnerabilities like prompt injection and insecure output handling
- Design and implement secure architectures for LLM-powered systems
- Build and document an LLM security risk register and mitigation plan
Pre Requisites
- No prior AI security experience required. Basic familiarity with AI applications, software development, or cybersecurity concepts is helpful but not mandatory.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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