Fall enrollment starts July 28, and closes September 28. Check out the Academic Term Calendar for more information.
Machine Learning System Design
COM SCI X 450.43
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…
Evaluate ML system designs for real-world applications
Design complete ML pipelines from data to deployment
About this course:
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.
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