AI Security Engineer: Zero to Advanced

Master the skills to secure AI systems, from threat modeling to advanced defense strategies, and become a sought-after AI Security Engineer.

Fundamentals of AI Security and Threat Modeling

Unit 1: Introduction to AI Security

Unit 2: AI-Specific Threat Modeling Techniques

Unit 3: AI Security Best Practices and Regulations

Securing AI Training Data and Pipelines

Unit 1: Data Security Fundamentals for AI

Unit 2: Data Anonymization Techniques

Unit 3: Securing AI Training Pipelines

Unit 4: Data Governance and Compliance

Developing and Deploying Secure AI Models

Unit 1: Adversarial Training for Robustness

Unit 2: Federated Learning with Privacy

Unit 3: Homomorphic Encryption for AI

Unit 4: Model Monitoring and Anomaly Detection

AI-Powered Security Solutions and Automation

Unit 1: AI for Threat Detection

Unit 2: AI for Incident Response

Unit 3: AI for Vulnerability Management

Unit 4: Automating Security Compliance

AI Supply Chain Security and Continuous Learning

Unit 1: Understanding AI Supply Chain Risks

Unit 2: Securing the AI Lifecycle

Unit 3: Continuous Learning and Adaptation