Production Machine Learning Systems
Completed by Mikhail Sednev
November 23, 2019
18 hours (approximately)
Mikhail Sednev'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: Hybrid Cloud Computing
- Category: Google Cloud Platform
- Category: MLOps (Machine Learning Operations)
- Category: Tensorflow
- Category: Performance Tuning
- Category: Systems Design
- Category: Data Pipelines
- Category: Model Deployment
- Category: Dependency Analysis
- Category: Model Optimization
- Category: Model Training
