How to use AI and LLMs for Offensive and Defensive Security
While addressing privacy and security concerns, learners will acquire proficiency in the use of LLMs and tools for a variety of applications.
Description for How to use AI and LLMs for Offensive and Defensive Security
A Comprehensive Examination of LLM Models and Tools: Investigate a variety of LLMs, such as those that prioritize privacy, and utilize tools such as Open WebUI and Huggingface.
Advanced Prompting Methods: Learn strategies to prevent prompt leakage and jailbreaking, as well as prompting methods such as zero-shot, few-shot, chain-of-thought, and system prompts.
Troubleshooting and Bot Development: Develop proficiency in the development of personalized bots, the diagnosis of LLM systems, and the efficient administration of APIs and tools such as Fabric and Yolo.
Artificial Intelligence for Security Applications: Gain an understanding of the effective use of LLMs for both defensive and offensive security, thereby improving both protective measures and attack strategies.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Udemy provided by Martin Voelk
Duration: 3h 46m
Schedule: Full lifetime access
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