Production Machine Learning Systems
Completed by Seyed Nima Miryeganeh
October 3, 2019
18 hours (approximately)
Seyed Nima Miryeganeh'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: Hybrid Cloud Computing
- Category: Data Pipelines
- Category: Model Training
- Category: Google Cloud Platform
- Category: Machine Learning
- Category: Distributed Computing
- Category: Systems Design
- Category: MLOps (Machine Learning Operations)
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Tensorflow
