PickAClass · AI Applications (Interdisciplinary) · AI for Cybersecurity

Adversarial Machine Learning in Security

Explore how attackers use AI to create evasive threats and learn to build robust AI security models that are resilient to adversarial attacks like data poisoning and evasion.

Adversarial Machine Learning in Security

AI Security Foundations: Defending Machine Learning and LLMs

AI Security Foundation Exam Prep: AIF-001 Study Guide

Cybersecurity Essentials: Data Privacy and AI Protection

Securing AI Systems: Defending Artificial Intelligence against Cyber Threats

Foundations of AI Security

Securing AI Applications Against Prompt Injection

Security Foundations for AI Software and Services

Foundations of AI Security: Guarding Models, Data, and Systems

AI for Cyber Security: Modern Threat Detection and Defense

AI Security and Governance: Technical and Legal Foundations

Securing AI Systems: Fundamentals of AI Security and Risk Management

AI Security Fundamentals: Protecting Intelligent Systems

Introduction to AI Security: Protecting Systems in the Age of Intelligence

Securing AI: Data Protection and Risk Mitigation for Beginners

AI Security Fundamentals: Safeguarding Models and Data

Securing AI in Education with Security Copilot and Data Protection

Securing Machine Learning Pipelines: AI Hardening Basics

Introduction to Exploit Development, Malware, and Cyber Defense

Mobile AI Security: Detecting and Responding to On-Device Threats

Secure AI Infrastructure with Foundry Hubs and Projects