Machine Learning System Design

This course provides an in-depth exploration of machine learning systems design, covering the complete lifecycle from project scoping and data acquisition to model deployment and monitoring. We connect theoretical foundations with practical application, emphasizing that as foundation (pre-trained) models become more sophisticated, human judgment becomes more critical for the successful implementation of machine learning in production. This course focuses on fundamental, tool-agnostic principles and industry best practices. You will learn to make strategic decisions regarding data quality, system architecture, model selection, and safety to effectively integrate AI/ML applications into business and technological contexts.