• Online, Instructor-Led

Learning Objectives

  • Understand the fundamental concepts of cybersecurity in the context of autonomous and semi-autonomous systems.

  • Identify potential security threats and vulnerabilities specific to autonomous and semi-autonomous systems.

  • Learn techniques for risk assessment and management in the deployment of autonomous systems.

  • Explore encryption and authentication methods to ensure the security of communication in autonomous systems.

  • Understand the role of machine learning and artificial intelligence in enhancing cybersecurity for autonomous systems.

  • Develop skills in implementing security measures to protect autonomous and semi-autonomous systems from cyber attacks.

  • Examine case studies and real-world examples of cybersecurity challenges and solutions in autonomous systems.

  • Collaborate with peers on practical projects to apply cybersecurity principles to autonomous and semi-autonomous system scenarios.

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):