Production Machine Learning Systems
Completed by Brady Thompson
August 6, 2019
18 hours (approximately)
Brady Thompson'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: MLOps (Machine Learning Operations)
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Hybrid Cloud Computing
- Category: Machine Learning
- Category: Distributed Computing
- Category: Systems Design
- Category: Google Cloud Platform
- Category: Tensorflow
- Category: Model Deployment
- Category: Dependency Analysis
- Category: Data Pipelines
