Science, Technology, Engineering & Mathematics

Securing the AI/ML Development Lifecycle: A Practical Guide to Secure AI Engineering

This course explores security throughout the lifecycle of ML/AI systems. Instructor Ed Moyle covers process-aware approaches for “building security in” including AISecOps and MLSecOps. Additionally, Ed explores mechanisms such as AI bills of materials (BOMs) and ways to adapt traditional application/product security efforts to AI-enabled products and software.

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