A Concise Introduction to AI Security | Free Course - 2 CPEs

This course contains the use of artificial intelligence to improve content delivery and the overall learning experience. Subject matter experts author, script, and review all content.

Artificial Intelligence is rapidly becoming part of modern applications, business processes, and enterprise environments. As organizations adopt AI and machine learning, they also introduce new security risks, vulnerabilities, attack techniques, and challenges that traditional cybersecurity controls may not fully address.

AI Security Foundations provides a concise introduction to the core concepts required to understand and secure AI-enabled systems.

This course focuses on the security fundamentals behind artificial intelligence and machine learning, from understanding how AI systems operate to recognizing adversarial attacks, vulnerabilities, supply chain risks, data security concerns, and architectural weaknesses.

You will also explore the controls and security practices used to design, protect, and monitor AI systems.

What You Will Learn

By the end of this course, you will be able to:

• Understand the foundations of Artificial Intelligence and Machine Learning

• Explain accuracy, reliability, and robustness in AI systems

• Recognize common adversarial attacks and AI vulnerabilities

• Understand the evolving AI threat landscape

• Explore vulnerability management approaches for AI systems

• Identify AI supply chain security risks

• Understand the fundamentals of AI security architecture

• Apply secure-by-design principles to AI systems

• Recognize AI data risks and protection strategies

• Understand safety controls for AI-generated outputs

• Explore the design of AI security controls

  
  

Course Content

AI Security Foundations

• Introduction to AI Foundations

• Artificial Intelligence and Machine Learning Basics

• Accuracy, Reliability, and Robustness

  
  

AI Threats and Vulnerabilities

• Adversarial Attacks and AI Vulnerabilities

• Understanding the AI Threat Landscape

• Vulnerability Management for AI Systems

  
  

AI Architecture, Data, and Supply Chain Security

• AI Supply Chain Security

• AI Security Architecture Fundamentals

• Designing Secure AI Systems

• AI Data Risks and Protection Strategies

  
  

Who This Course Is For

This course is designed for:

• Cybersecurity professionals

• Security analysts and engineers

• Risk and GRC professionals

• AI and machine learning practitioners

• IT professionals

• Security architects

• Technology leaders and managers

• Students interested in AI security

• Anyone looking for a practical introduction to securing AI systems

  
  

No advanced AI or machine learning experience is required.

The course is designed to give you a structured foundation in AI security, AI threats, vulnerabilities, secure architecture, data protection, and security controls without requiring you to complete a lengthy technical program.

Whether you are beginning your journey into AI security or expanding your existing cybersecurity knowledge, this course provides a concise foundation for understanding how AI systems can be attacked, protected, and securely designed.