Learning Path Overview

Our AI Security learning path is structured into progressive modules, each building upon the previous knowledge. Each module includes theoretical concepts, practical exercises, and real-world applications.

📊 Your Learning Progress

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🎯 Learning Modules

Module 1: AI Security Fundamentals

Beginner 4-6 hours

Build a solid foundation in AI security concepts, threat landscape, and basic protection mechanisms.

  • Introduction to AI and Machine Learning
  • AI Security Threat Landscape
  • Attack Surface Analysis
  • Basic Security Controls

Module 2: Adversarial Attacks

Intermediate 6-8 hours

Master adversarial attacks, including evasion attacks, poisoning attacks, and model extraction techniques.

  • Evasion Attacks (FGSM, PGD, C&W)
  • Poisoning Attacks
  • Model Extraction
  • Backdoor Attacks

Module 3: AI Defense Strategies

Advanced 8-10 hours

Learn advanced defense mechanisms including adversarial training, robust optimization, and AI monitoring.

  • Adversarial Training
  • Robust Optimization
  • AI Monitoring & Detection
  • Defensive Distillation

Module 4: AI Security Operations

Expert 10-12 hours

Master AI security operations including incident response, compliance, and enterprise AI security management.

  • AI Incident Response
  • AI Compliance & Governance
  • Enterprise AI Security
  • AI Security Metrics

🔗 Related Learning Paths

🛠️ Essential Tools & Platforms

Adversarial Attack Tools

Monitoring & Detection

Research Platforms

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