Tier 2: Specialist
Red-Teaming & Safety
Systematic adversarial testing of AI systems, safety-taxonomy coverage, and policy adjudication.
Learning Outcomes
What You Will Learn
Curriculum
Course Modules
Adversarial Testing Methodology
Principles and techniques for medical AI red-teaming.
Safety Testing Practice
Practice writing adversarial prompts.
Multi-Factor Safety Scenarios
Advanced red-teaming with complex interaction chains.
Advanced Red-Team Practice
Advanced adversarial prompt exercises.
Red-Teaming & Policy Assessment
Terminal assessment covering adversarial design and refusal-appropriateness.
Sneak Peek
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.
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