Red-Teaming & Safety

Systematic adversarial testing of AI systems, safety-taxonomy coverage, and policy adjudication.

165 minutes·5 modules·Free
Start This Course

What You Will Learn

Principles and techniques for medical AI red-teaming.
Practice writing adversarial prompts.
Advanced red-teaming with complex interaction chains.
Advanced adversarial prompt exercises.

Course Modules

1

Adversarial Testing Methodology

Principles and techniques for medical AI red-teaming.

Lesson30m
2

Safety Testing Practice

Practice writing adversarial prompts.

Practice45m
3

Multi-Factor Safety Scenarios

Advanced red-teaming with complex interaction chains.

Lesson25m
4

Advanced Red-Team Practice

Advanced adversarial prompt exercises.

Practice20m
5

Red-Teaming & Policy Assessment

Terminal assessment covering adversarial design and refusal-appropriateness.

Quiz45m

Course Preview

Adversarial Testing Methodology What is Red-Teaming? Red-teaming is the practice of deliberately trying to make an AI system produce harmful, incorrect, or inappropriate outputs. In medical AI, this is critical safety work — finding failures before they reach patients.

Register to access the full course content.

Ready to Begin?

Register for free, complete this course, and earn your RLHF certification.