Build production AI systems through four critical skills: (1) Automating model development via data/model pipelines (2) Optimizing for performance and computing resource usage through experimentation, incorporating explanations, and leveraging shared/existing models (3) Form a complete system through the integration of supporting technologies such as high speed messaging, real-time APIs, parallel processing, data storage, and system management (4) Packaging into a deployed system via containerizing and orchestrating including post-deployment adaptation across heterogeneous computing fabrics. The student acquires the skills through developing a realistic, hands-on, collaborative, and incremental project that produces optimized models integrated into an operational system deployed across hybrid computer environments.
Course Prerequisite(s)
Working knowledge of Python, and Machine Learning Model development from course EN.705.603.
Course Offerings
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Canceled
Optimizing and Deploying Scalable AI Systems
08/27/2024 - 12/10/2024
Tues 4:30 p.m. - 7:10 p.m. |