Production Machine Learning Systems
Completed by Michael Watson
December 10, 2018
18 hours (approximately)
Michael Watson's account is verified. Coursera certifies their successful completion of Production Machine Learning Systems
What you will learn
Compare static versus dynamic training and inference
Manage model dependencies
Set up distributed training for fault tolerance, replication, and more
Export models for portability
Skills you will gain
- Category: Dependency Analysis
- Category: Model Deployment
- Category: Model Training
- Category: Google Cloud Platform
- Category: MLOps (Machine Learning Operations)
- Category: Tensorflow
- Category: Data Pipelines
- Category: Hybrid Cloud Computing
- Category: Performance Tuning
- Category: Distributed Computing
- Category: Systems Design
- Category: Machine Learning
