On‑Demand: $495 | Instructor‑Led: $3,895 | Duration: 5 Days
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.
All students receive:
| Start Date | End Date | CLASS TIMES (EST) | DELIVERY/LOCATION | Status | Price | Enroll Now |
|---|---|---|---|---|---|---|
| 3/23/2026 | 3/27/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$3,795 | ||
| 4/27/2026 | 5/1/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$3,795 | ||
| 5/4/2026 | 5/8/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$3,795 | ||
| 6/22/2026 | 6/26/2026 |
9:00AM - 5:00PM
|
GTR Guaranteed-to-Run |
$3,795 |
GTR Guaranteed-to-Run
GTR Guaranteed-to-Run
GTR Guaranteed-to-Run
GTR Guaranteed-to-Run
On-Demand Learning (ODL) is a self-paced training solution designed to work around your individual schedule, budget, and learning needs. Our ODL courses provide you with exclusive access to interactive platforms combining high-quality instructor videos from subject matter experts, official courseware and study materials, hands-on labs, practice exercises, skill assessments and knowledge checks. The modular, self-paced ODL course structure adapts to your unique learning needs and style, providing an optimal training experience.
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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.
All students receive:
Required:
Foundations of AI and Machine Learning for Security Engineering
Machine Learning for Threat Detection and Response
Deep Learning for Security Applications
Adversarial AI in Security
AI in Network Security
This course builds skills and demonstrates qualifications for the job roles and average base salaries below.Â
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