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Certified AI Resilience Engineer (CAIRE)
The "Certified AI Resilience Engineer (CAIRE)" teaches professionals to design AI systems capable of withstanding failures, attacks, and disruptions. You’ll explore redundancy, fault tolerance, and cyber defense strategies. Cybersecurity is central, as resilience includes protecting against data breaches, adversarial attacks, and system compromises in high-stakes environments.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand concepts of AI system resilience and fault tolerance.
- Design and implement architectures for resilient AI deployment.
- Develop strategies for AI system recovery from failures or attacks.
- This training strengthens cybersecurity by focusing on building AI systems that can withstand and recover from cyberattacks, ensuring their continued operation even under duress.
- Apply techniques for anomaly detection and proactive threat response in 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.