Production Machine Learning Systems
Completed by JING NING
January 25, 2019
18 hours (approximately)
JING NING'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: Distributed Computing
- Category: Systems Design
- Category: Google Cloud Platform
- Category: Model Optimization
- Category: MLOps (Machine Learning Operations)
- Category: Machine Learning
- Category: Data Pipelines
- Category: Model Deployment
- Category: Model Training
- Category: Dependency Analysis
- Category: Hybrid Cloud Computing
- Category: Tensorflow
