• Classroom
  • Online, Instructor-Led
Course Description

The AI Security Course provides participants with an in-depth understanding of securing artificial intelligence (AI) systems from potential vulnerabilities and attacks. The course explores the unique security challenges posed by AI technologies and equips participants with the knowledge and skills needed to protect AI systems throughout their lifecycle. Participants will learn about AI-specific threats, defensive measures, and best practices for ensuring the confidentiality, integrity, and availability of AI systems. The course emphasizes the importance of integrating security considerations into the design, development, and deployment of AI solutions.

Learning Objectives

  • Understand the Foundations of Artificial Intelligence (AI)

  • Explore the Intersection of AI and Cybersecurity

  • Identify Common Threats and Vulnerabilities in AI Systems

  • Master Techniques for Securing Machine Learning Models

  • Learn Ethical Considerations and Responsible AI Practices

  • Gain Hands-On Experience with AI Security Tools and Technologies

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

  • Software Development
  • Threat Analysis
  • Vulnerability Assessment and Management
  • Cyber Defense Analysis
  • Risk Management