BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Course Overview
Phoenix TS’ 5-day instructor-led AI+ Security Level 3 training and certification course in Washington, DC Metro, Columbia, MD, or Live Online 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
As an AI CERTs Silver Tier Partner, Phoenix TS delivers official AI CERTs certification programs and offers self-paced learning options at competitive pricing, making it easier than ever for individuals and teams to stay ahead in today’s AI-driven workplace.
Schedule
AI+ Security Level 3
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location
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Why AI+ Security Level 3 Matters
- AI-driven cyber threats are evolving, and organizations require skilled professionals to counteract advanced AI-powered attacks and security vulnerabilities.
- Studies indicate that 84% of cybersecurity professionals believe AI enhances their ability to combat cyber threats.
- High-Growth Areas: AI-Powered Threat Intelligence, Predictive Cyber Defense, Deep Learning for Security, Zero Trust AI Security Frameworks.
- The global AI security market is projected to reach $133 billion by 2030, making this a crucial career move for those seeking high-impact roles in cybersecurity.
At a Glance: Course + Exam Overview
Exam Name: AI+ Security Level 3 (AT-2103)
Exam Format: 50 MCQ’s
Duration: 90 minutes
Passing Score: 70% (35/50)
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
What You’ll Learn
- Apply Deep Learning for Cyber Defense
- Enhance Identify and Access Management with Ai
- Integrate Ai with Cloud and Container Security
- Security IoT Devices using AI
Who Should Enroll
Security Consultant for AI‑Driven Solutions: Advises organizations on implementing AI-powered security tools, optimizing defenses across industries.
IAM Engineer: Builds AI-enhanced identity and access management systems, improving authentication, verification, and access control for large-scale deployments.
Cloud Security Architect: Designs and integrates AI into cloud security infrastructure—focusing on container security, incident response, threat detection, and resilient architectures.
IoT Security Specialist: Applies AI to secure IoT ecosystems, spanning devices, networks, and data flows within industries like healthcare, smart cities, and manufacturing.
Course Outline
Module 1: Foundations of AI and Machine Learning for Security Engineering
Module 2: Machine Learning for Threat Detection and Response
Module 3: Deep Learning for Security Applications
Module 4: Adversarial AI in Security
Module 5: AI in Network Security
Module 6: AI in Endpoint Security
Module 7: Secure AI System Engineering
Module 8: AI for Cloud and Container Security
Module 9: AI and Blockchain for Security
Module 10: AI in Identity and Access Management (IAM)
Module 11: AI for Physical and IoT Security
Module 12: Capstone Project – Engineering AI Security Systems
Frequently Asked Questions
What will I learn in this course?
You will learn how AI and machine learning enhance cybersecurity, including threat detection, network security, adversarial AI defense, secure AI systems, cloud security, and more. You’ll also apply these concepts in a hands-on capstone project.
How does the course integrate AI with blockchain and container security?
The course explores the use of AI to enhance blockchain security, such as fraud detection and transaction monitoring, as well as its application in securing containerized environments by automating threat detection and improving system reliability.
Do I need to know how to code for this course?
Basic programming knowledge is helpful, especially in Python, as the course involves implementing AI models. However, tutorials and resources are provided to help you learn necessary coding skills throughout the course.
Will this course help me in my current cybersecurity job?
Yes, if you’re already working in cybersecurity, this course will deepen your expertise in integrating AI for advanced threat detection, automating security protocols, and strengthening defenses across networks, endpoints, and cloud systems.
Is this course suitable for beginners in AI and cybersecurity?
While the course is designed for individuals with an intermediate level of experience in cybersecurity, it offers foundational insights into AI, making it accessible for learners looking to specialize in AI-driven security solutions.
BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Phoenix TS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org
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