Securing Northstar's machine learning systems on the ML security board: eight domains held at once — data, training, model, supply chain, deployment, inference, privacy and monitoring — guarding a fraud classifier, a recommender and an internal LLM assistant; and the risks closed along the way, from a label-flip ring in the feedback loop and an unsafe pickle model file to a departed contractor who could still trigger training, prompt injection through fetched documents and a production model nobody was watching.

CY-MID-078Mid Level · AI/ML Security

AI & Machine Learning Security — The ML Security Board

A hands-on mid-level course that secures machine-learning systems across their lifecycle. Work the ML security board - eight domains: Data, Training, Model, Supply Chain, Deployment, Inference, Privacy, and Monitoring - defending against poisoning, evasion, model theft, and prompt injection while keeping models trustworthy. Strictly defensive. Four hands-on activities in every lesson.

15 hours8 chapters32 lessons225 activities8 labs

What you'll learn

Protect training data and pipelines from poisoning and tampering.
Defend models against evasion, extraction, and inversion.
Secure the ML supply chain and deployment surface.
Guard inference (incl. prompt injection) and monitor for abuse.

Price:৳8,000