Prerequisites
- Completion of AI+ Security Level 1™ and Level 2™.
- Intermediate/Advanced Python Programming Skills: Proficiency in Python, including deep learning frameworks such as TensorFlow and PyTorch.
- Machine Learning Knowledge: Understanding of adversarial AI, model training, and deep learning concepts.
- Advanced Cybersecurity Skills: Proficiency in threat detection, incident response, and network/endpoint security.
- AI in Security Engineering: Knowledge of AI for IAM, IoT security, and physical security systems.
- Cloud and Container Security: Familiarity with cloud security, containerization, and blockchain technologies.
- Linux/CLI Expertise: Advanced command-line skills with experience in Linux-based security tools.
- 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).
Exam Details
- Modules (12)
- Examination (1)
- 50 MCQs, 90 Minutes
- Passing Score (70% (35/50) )
Exam Blueprint
| Modules | Percentage |
|---|---|
| Foundations of AI and Machine Learning for Security Engineering | 5 |
| Machine Learning for Threat Detection and Response | 7 |
| Deep Learning for Security Applications | 7 |
| Adversarial AI in Security | 7 |
| AI in Network Security | 7 |
| AI in Endpoint Security | 7 |
| Secure AI System Engineering | 10 |
| AI for Cloud and Container Security | 10 |
| AI and Blockchain for Security | 10 |
| AI in Identity and Access Management (IAM) | 10 |
| AI for Physical and IoT Security | 10 |
| Capstone Project – Engineering AI Security Systems | 10 |
What you will get
High-Quality Videos, E-book (PDF & Audio), and Podcasts
AI Mentor for Personalized Guidance
Quizzes, Assessments, and Course Resources
Online Proctored Exam with One Free Retake
Comprehensive Exam Study Guide
Why This Certification Matters
Deep Specialization in AI Security
Dive into advanced AI applications for cybersecurity, including adversarial AI, deep learning, and real-time threat detection.Cutting-Edge Curriculum
Covers AI for cloud, containers, blockchain, IoT, physical systems, and zero-trust architectures—bridging the gap between AI engineering and security operations.Hands-On Project Experience
Build and deploy a real-world AI security solution through a capstone project, enhancing your practical skills and confidence.Future-Ready Skillset
Learn to secure decentralized, multi-cloud, and serverless environments, and explore post-quantum cryptography and federated learning.Global Career Opportunities
Equips professionals for high-demand roles like AI Security Engineer, Security Data Scientist, or Secure DevOps Lead in a rapidly evolving threat landscape.
Who Should Enroll in AI+ Security Level 3™
Cybersecurity Engineers & Architects
Looking to deepen their expertise by integrating AI into secure system design and threat prevention strategies.AI & Machine Learning Engineers
Eager to apply their knowledge in high-stakes cybersecurity domains, from anomaly detection to adversarial defense.Security Analysts & SOC Professionals
Aiming to enhance detection, response, and forensic capabilities using AI-driven insights and automation.DevSecOps and Infrastructure Engineers
Interested in automating secure deployments across containers, cloud, and serverless environments using AI tools.Governance, Risk, and Compliance (GRC) Experts
Wanting to understand AI's role in enforcing compliance, security automation, and secure AI deployment lifecycle.Product Managers in Security Tech
Responsible for building or scaling AI-enhanced security products and platforms.Senior Technologists & CISOs
Seeking a strategic view of AI security trends and hands-on exposure to emerging risks like federated learning, quantum threats, and secure multi-party computation.Graduates with AI or Cybersecurity Backgrounds
Ready to level up into advanced, real-world applications at the intersection of AI and security.
- Adversarial Robustness Toolbox (ART)
- Microsoft Azure AD Conditional Access
- Microsoft Defender for Endpoint
- Splunk User Behavior Analytics (UBA)
Prerequisites
Prior Certifications
Completion of AI+ Security Level 1™ and Level 2™ is recommended for foundational continuity.Programming Skills
Proficient to expert-level knowledge in Python, including experience with deep learning frameworks like TensorFlow and PyTorch.Machine Learning Knowledge
Solid understanding of deep learning, adversarial AI, and model training techniques.Advanced Cybersecurity Expertise
Proficiency in threat detection, incident response, network and endpoint security concepts.AI in Security Engineering
Familiarity with AI’s role in IAM, IoT security, and physical security systems.Cloud & Container Security
Working knowledge of cloud security protocols, containerization tools, and blockchain technologies.Linux & Command-Line Mastery
Advanced skills in Linux CLI and experience using security tools in Unix-based environments.
⚠️ Note: There are no mandatory prerequisites. Certification is awarded based solely on exam performance. However, preparation via self-study or official AI CERTS Authorized Training Partners (ATPs) is highly recommended.
Frequently Asked Questions
What will I learn in this course?
You’ll gain advanced skills in integrating AI with cybersecurity, including deep learning for threat detection, AI for IoT security, cloud and container protection, identity and access management, and AI-enhanced incident response.
How does the course integrate AI with blockchain and container security?
The course explores AI-driven methods to secure blockchain environments and containerized applications, focusing on automation, threat prediction, and resilience against advanced attacks.
Do I need to know how to code for this course?
Yes. Intermediate to advanced Python programming skills are highly recommended, as the course includes practical labs involving AI and deep learning frameworks like TensorFlow and PyTorch.
Will this course help me in my current cybersecurity job?
Absolutely. The course prepares professionals to adopt and implement AI-powered cybersecurity strategies, making you more effective in threat mitigation, automation, and security engineering.
Is this course suitable for beginners in AI and cybersecurity?
No. This course is designed for professionals with prior exposure to cybersecurity and AI, ideally those who have completed AI+ Security Level 1™ and 2™ certifications.
