Managing ML Models at Scale - Intuit’s ML Platform

The course teaches learners about managing machine learning models at scale using Intuit's ML Platform. The learning outcomes include understanding the model management problem statement at Intuit, the platform's capabilities such as feature management, processing, and collaborations, and how these capabilities have increased model publishing velocity. The course covers tools like GitOps, SageMaker, Kubernetes, and Argo Workflows. The teaching method involves a talk discussing the platform's features and self-serve capabilities. The intended audience includes data scientists, machine learning engineers, and individuals interested in scaling machine learning models securely and efficiently.