Master GenAI & LLM cybersecurity, OWASP, MITRE ATLAS mappings, and API attack techniques – practical demos included.
Sub Category
- Network & Security
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Objectives
- Understand the core concepts of Large Language Models (LLMs) with real-world examples and security implications.
- Break down the architecture of an LLM system, including layers like Application, Integration, Model, and Infrastructure.
- Identify key attack surfaces in LLM systems and explore vulnerabilities introduced by APIs, public exposure, and misconfigurations.
- Map real-world incidents (like OpenAI vs. DeepSeek) to MITRE ATT&CK/ATLAS frameworks and extract security lessons.
- Perform hands-on security testing on LLM APIs using tools like curl browser and simulate common LLM attacks.
- Learn practical lab skills through PortSwigger exercises focused on LLM security.
Pre Requisites
- No prior cybersecurity or AI experience required.
- This course is beginner-friendly and includes step-by-step explanations, real examples, and lab walkthroughs.
- Familiarity with basic tech concepts (browsers, APIs) 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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