AI Red Teaming and Assurance Course (Self-Paced)
IDCYSE9008SP

Self-paced online training with expert support

Deploying AI responsibly is not the hard part. Proving it to your leadership, your oversight bodies and the public is; this course teaches federal staff to deliberately try to break an AI system, and then to build the evidence that says it is trustworthy enough to use.

$1,049 12 clock hours Live Support Start anytime

This course includes

  • 12 hours of project-based training from experts
  • Answers from real instructors
  • Retake for free within 1 year
  • Verified digital certificate of completion
  • Learn at an accredited institution
  • Credits: 1.2 CEUs

This course is self-paced. For live online or in-person instruction, take AI Red Teaming and Assurance Course.

The capstone of the applied AI security path, this course closes the loop between testing an AI system and being able to defend the decision to run it. It separates two things agencies routinely conflate: red teaming is deliberately trying to break, mislead or misuse a system, while assurance is the documented evidence that the system is trustworthy enough for its intended purpose. It runs the engagement lifecycle — scoping testing to the system's risk classification, setting objectives, writing rules of engagement, and handling team composition and deconfliction — then technique, matching method to attack surface and weighing manual testing against automated approaches.

It covers agentic AI, where the attack surface expands from what a system says to what a system does, and the assurance case as claim, argument and evidence, in the form an oversight body can audit, alongside Test, Evaluation, Verification and Validation records, model and system cards, and how documentation feeds a risk-acceptance decision. It teaches difficult judgment calls: telling a red-team finding apart from an ordinary software bug, prioritizing by impact rather than technical complexity, and recognizing when a finding becomes an incident. There is no lab; scenario-based practice includes a prompt-assessment exercise using real example prompts from an engagement, so acquisition and oversight staff can take it alongside testers. It sits atop a four-course ladder running from AI Security Fundamentals for the Cyber Workforce Course (Self-Paced) and AI Security & Governance for Government Course (Self-Paced) through Securing AI/ML Systems Course (Self-Paced) and AI Security Monitoring and Incident Response Course (Self-Paced).

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Since 1921, Graduate School USA has partnered with over 125 federal agencies and trained more than one million federal employees. Led by instructors with deep, real-world knowledge of federal regulations, policies, and practices, our private group programs are practical, mission-driven, and tailored to your agency’s objectives. We offer expertise across key federal domains—including human resources, financial management, acquisition and contracting, leadership, and more—to deliver training where and how your team needs it.

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