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Red Teaming LLM Applications

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.

Status: Threat Modeling
Status: Prompt Engineering
BeginnerProject2 hours

Featured reviews

LG

5.0Reviewed Mar 18, 2025

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

All reviews

Showing: 6 of 6

Luiz Goldman Galvao
5.0
Reviewed Mar 19, 2025
Jayanti Bhanushali
5.0
Reviewed Jan 15, 2026
Ajay Chakravarthi
5.0
Reviewed Oct 26, 2024
Jaquesco Poggenpoel
5.0
Reviewed Jan 7, 2025
k lokesh
5.0
Reviewed Jul 30, 2024
Loga mummoorthi S
4.0
Reviewed Mar 26, 2026