Production Machine Learning Systems

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16 hours

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Intermediate

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{'ML Engineer', 'AI/Data Engineer', 'DevOps'}

+600 pts

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training,...

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Production Machine Learning Systems

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