AI+ Security Level 3™

 AT-2103

Master the Future of Cybersecurity with AI-Driven Solutions

The AI+ Security Level 3™ course provides a comprehensive exploration of the intersection between AI and cybersecurity, focusing on advanced topics critical to modern security engineering. It covers foundational concepts in AI and machine learning for security, delving into areas like threat detection, response mechanisms, and the use of deep learning for security applications. The course addresses the challenges of adversarial AI, network and endpoint security, and secure AI system engineering, along with emerging topics such as AI for cloud, container security, and blockchain integration. Key subjects also include AI in identity and access management (IAM), IoT security, and physical security systems, culminating in a hands-on capstone project that tasks learners with designing and engineering AI-driven security solutions.

Prerequisites

• Completion of AI+ Security Level 1™ and 2™
• Intermediate/Advanced Python Programming: Proficiency or expert in Python, including deep learning frameworks (TensorFlow, PyTorch).
• Intermediate Machine Learning Knowledge: Proficiency in understanding of deep learning, adversarial AI, and model training.
• Advanced Cybersecurity Knowledge: Proficiency in threat detection, incident response, and network/endpoint security.
• AI in Security Engineering: Knowledge of AI’s role in identity and access management (IAM), IoT security, and physical security.
• Cloud and Container Expertise: Understanding of cloud security, containerization, and blockchain technologies.
• Linux/CLI Mastery: Advanced command-line skills and experience with security tools in Linux environments

There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTs® Authorized Training Partners (ATPs).