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Certified Quantum-AI Convergence Engineer (CQAI-CE)
"Certified Quantum-AI Convergence Engineer (CQAI-CE)" explores the integration of quantum computing with AI for next-gen applications. Participants learn how to protect AI models running on quantum platforms and mitigate novel attack vectors. Cybersecurity in convergence systems is vital to ensure high-performance computing does not introduce new exploitable gaps.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the synergistic applications and challenges at the intersection of quantum computing and AI.
- Design and optimize quantum machine learning algorithms for enhanced performance.
- Identify potential security vulnerabilities arising from quantum-AI convergence.
- This role directly impacts cybersecurity by addressing novel threats that may emerge from the integration of quantum and AI technologies, ensuring secure development and deployment of these advanced systems.
- Develop secure architectures and best practices for quantum-enhanced 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.