Adversarial Machine Learning Courses and Certifications

AI Security: Risks, Defences and Safety

Explore AI security fundamentals, defend against adversarial attacks, secure industrial systems, and implement responsible AI governance for emerging threats.

• Coursera
• 13 hours 3 minutes
• Self-Paced
• Paid Course

Career Certificate

AI-Powered Cybersecurity

Master AI-powered cybersecurity by building ML models to detect threats, defend against adversarial attacks, and execute structured incident response with operational confidence.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Edureka

Generative AI for Security Fundamentals

Master AI-powered cybersecurity fundamentals, secure prompt engineering, threat detection with LLMs, and defense strategies against adversarial attacks in modern security environments.

• Coursera
• 10 hours 31 minutes
• Self-Paced
• Paid Course

Board Infinity

AI Risk and Compliance: Audit and Governance Foundations

Master AI risk and compliance by exploring adversarial threats, EU AI Act, NIST RMF, explainability techniques, guardrails, and PII protection for enterprise AI governance.

• Coursera
• 18 hours 22 minutes
• Self-Paced
• Paid Course

Edureka

Generative AI for Cybersecurity Professionals

Unlock AI and GenAI integration for cybersecurity professionals, covering threat detection, prompt engineering, adversarial defense, and governance frameworks for secure SOC operations.

• Coursera
• 10 hours 41 minutes
• Self-Paced
• Paid Course

Yannic Kilcher

The Dimpled Manifold Model of Adversarial Examples in Machine Learning - Research Paper Explained

Explores the Dimpled Manifold Model to explain adversarial examples in machine learning, challenging existing theories and providing experimental evidence for a new perspective on neural network vulnerabilities.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Ekoparty Security Conference

Adversary Emulation in Machine Learning Systems - A Practical Approach Using AI

Descubre cómo los atacantes aprovechan la IA y el machine learning para comprometer sistemas empresariales, desde técnicas avanzadas de evasión hasta ataques dirigidos que superan defensas tradicionales.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Ekoparty Security Conference

Ransomware y Machine Learning: Un Viaje por el Lado Oscuro de la IA

Explora las vulnerabilidades en IA y machine learning, desde ataques adversariales hasta investigaciones sobre ransomware, con énfasis en la seguridad de modelos LLM y sus implicaciones éticas.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Introduction to Adversarial Attacks in Machine Learning - Lecture 1

Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

USENIX Enigma Conference

Adversarial Examples in Machine Learning - Crafting and Defending Against Attacks

Explore machine learning vulnerabilities, adversarial examples, and their impact on system security. Learn crafting techniques and defenses through practical tutorials and real-world applications.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

CompTIA SecAI+ (CY0-001) Complete Course & Exam Prep 2026

227 ratings at Udemy

Pass CompTIA SecAI+ (CY0-001) Exam, Master AI-Driven Cybersecurity, Securing AI Systems & Governance

• Udemy
• 1 day 4 hours 33 minutes
• Self-Paced
• Paid Course

Universal Adversarial Perturbations in Machine Learning - Spring 2021

Explore universal adversarial perturbations in machine learning, covering definitions, contributions, experiments, and cross-model universality.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Explaining and Harnessing Adversarial Examples in Machine Learning - Spring 2021

Explore adversarial examples in machine learning, their impact on linear and non-linear models, and techniques like adversarial training to improve model robustness and generalization.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Black Hat

Protecting the Protector - Hardening Machine Learning Defenses Against Adversarial Attacks

Strategies for enhancing machine learning model resilience against tampering, comparing cloud and client-based models, and exploring defense techniques for endpoint protection systems.

• YouTube
• 50 minutes
• Self-Paced
• Conference Talk

Open Data Science

Robustness to Adversarial Inputs and Tail Risk via Boosting - Machine Learning Model Defense Strategies

Explore innovative strategies for robust machine learning models against adversarial inputs and tail risks, focusing on ensemble methods and risk-sensitive decision-making in high-stakes environments.

• YouTube
• 47 minutes
• Self-Paced
• Free Video