Production Machine Learning Systems
Updated on
Course overview
- Provider
- Coursera
- Course type
- Free online course
- Level
- Advanced
- Deadline
- Flexible
- Duration
- 21 hours
- Certificate
- Paid Certificate Available
- Course author
- Google Cloud Training
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Compare static vs. dynamic training and inference
Manage model dependencies
Set up distributed training for fault tolerance, replication, and more
Export models for portability
Description
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, and how to write distributed training models with custom estimators.
