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This module previews the topics covered in the course and how to use Qwiklabs to complete each of your labs using Google Cloud.

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This module explores what else a production ML system needs to do and how to meet those needs. You review how to make important, high-level, design decisions around training and model serving need to make in order to get the right performance profile for your model.

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In this module, you identify performance considerations for machine learning models.

Machine learning models are not all identical. For some models, you focus on improving I/O performance, and on others, you focus on squeezing out more computational speed.

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Production Machine Learning Systems

Quiz: Architecting production ML systems