AI Security Specialists secure AI systems and defend against AI-powered threats, including adversarial attacks and model poisoning.
Open access educational materials and documentation
Comprehensive AI security landscape and incident analysis
Beginner’s guide to cloud security with AI enhancements.
Cloud security fundamentals with AI-driven protection
Gamified Azure cloud security training
Introductory course covering AI security basics and common vulnerabilities.
Free course on adversarial machine learning concepts and defense strategies.
Strategic approaches to implementing AI in cybersecurity operations.
Comprehensive resources on adversarial machine learning and detection methods.
Advanced AI security resources and research from SANS Institute.
Advanced course on federated learning security and privacy-preserving ML.
Foundational security course covering essential concepts with AI-enhanced learning.
Professional courses and premium content for advanced learning
Certification covering fundamental AI security concepts and defense mechanisms.
Practical certification covering AI security implementations and threat detection.
Professional certificate covering AI applications in cybersecurity from CMU.
Specialized training on advanced adversarial ML techniques and defenses.
Advanced certification covering AI security throughout the development lifecycle.
Management certification focusing on AI governance and risk assessment.
Labs and Projects for further hands-on development and training
Build system to detect adversarial attacks on ML models using statistical testing, anomaly detection, and ensemble methods.