• Classroom
  • Online, Instructor-Led
Course Description

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):

Specialty Areas

  • Vulnerability Assessment and Management
  • Threat Analysis
  • Targets
  • Risk Management
  • Cyber Operational Planning