December 2023
Advanced
2h
English
Closed Captioning available in English
Overview
In this 2 hr course, you will learn how to tackle the OWASP Top 10 risks with hands-on techniques for securing large language models (LLMs). The course covers both theoretical and practical elements, focusing on the unique attack vectors of LLMs and providing skills to secure enterprise-grade applications.
What I will be able to do after this course
- Safeguard LLM applications from supply chain vulnerabilities.
- Prevent data poisoning, unauthorized access, and theft effectively.
- Employ filters and sanitization methods on user inputs and model outputs.
- Recognize and block potential jailbreaking and misuse of LLM systems.
- Utilize tools and frameworks to automate security features in LLM deployments.
Course Instructor(s)
Clint Bodungen is a cybersecurity expert with extensive experience in developing secure enterprise applications. With a focus on practical, hands-on training, Clint has taught numerous professionals on effectively safeguarding their applications against modern threats. His approach centers on blending theoretical concepts with real-world examples for maximum impact.
Who is it for?
This course is ideal for developers, data scientists, and security professionals actively working on or interested in securing large language model (LLM) applications. Having at least a fundamental understanding of AI systems and cybersecurity challenges will enhance the learning experience. Participants aim to protect their applications against emerging LLM threats and align with industry best practices.
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