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Learner Reviews & Feedback for Red Teaming LLM Applications by DeepLearning.AI

4.8
stars
34 ratings

About the Course

Learn how to test and find vulnerabilities in your LLM applications to make them safer. In this course, you’ll attack various chatbot applications using prompt injections to see how the system reacts and understand security failures. LLM failures can lead to legal liability, reputational damage, and costly service disruptions. This course helps you mitigate these risks proactively. Learn industry-proven red teaming techniques to proactively test, attack, and improve the robustness of your LLM applications. In this course: 1. Explore the nuances of LLM performance evaluation, and understand the differences between benchmarking foundation models and testing LLM applications. 2. Get an overview of fundamental LLM application vulnerabilities and how they affect real-world deployments. 3. Gain hands-on experience with both manual and automated LLM red-teaming methods. 4. See a full demonstration of red-teaming assessment, and apply the concepts and techniques covered throughout the course. After completing this course, you will have a fundamental understanding of how to experiment with LLM vulnerability identification and evaluation on your own applications....

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1 - 4 of 4 Reviews for Red Teaming LLM Applications

By Luiz G G

•

Mar 19, 2025

The lecture was well-taught and covered a very interesting topic!

By Ajay C

•

Oct 26, 2024

May be certification is needed

By Jaquesco P

•

Jan 7, 2025

very good learning

By varun k

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Jul 30, 2024

excellent