This course offers a comprehensive exploration into the intersection of artificial intelligence, systems engineering, and cybersecurity. Participants will learn the principles of designing and engineering robust AI systems while understanding the cybersecurity threats unique to these technologies. The course covers best practices for threat modeling, risk assessment, and the development of effective mitigation strategies to ensure AI system integrity and reliability.
Learning Objectives
- Understand the fundamentals of AI systems engineering.
- Gain proficiency in threat modeling techniques.
- Develop skills in designing AI systems with cybersecurity in mind.
- Learn defensive strategies to mitigate cyber threats in AI systems.
- Apply theoretical knowledge to real-world scenarios through case studies and projects.
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.