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AI Model Validation and Test Automation for Critical Systems Essentials
"AI Model Validation and Test Automation for Critical Systems Essentials" focuses on verifying the reliability, accuracy, and safety of AI systems deployed in high-assurance domains like aerospace and defense. Participants explore model interpretability, robustness testing, and automated validation workflows. The course incorporates strong cybersecurity perspectives, addressing risks such as adversarial attacks, poisoning, and unauthorized model updates. Learners gain hands-on techniques to ensure AI systems meet both functional and cybersecurity performance thresholds before deployment.
Course Overview
None
Learning Objectives
- Understand the principles of AI model validation and testing for critical systems.
- Analyze methodologies for robustly validating the performance and reliability of AI models.
- Evaluate techniques for automating the testing process of AI-powered systems.
- Identify potential failure modes and vulnerabilities in AI models.
- Recognize that rigorous validation and testing are paramount for ensuring the cybersecurity and safety of critical 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):
Competency Areas
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.