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Generative AI Red Teaming Masterclass (GAIRT)

Delve into the ethical, technical, and security dimensions of AI red teaming with the "Generative AI Red Teaming Masterclass (GAIRT)." Learn how to simulate adversarial scenarios to stress-test generative AI models, identify vulnerabilities, and develop defensive strategies that enhance model robustness and integrity.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Understand the principles and techniques of red teaming for Generative AI.
  • Identify and exploit vulnerabilities in Generative AI models.
  • Develop strategies for mitigating risks associated with Generative AI.
  • Apply ethical considerations in Generative AI red teaming.
  • Evaluate the effectiveness of red teaming exercises for Generative AI systems.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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