Production Machine Learning Systems
Completed by sang-yun Chae
June 29, 2019
14 hours (approximately)
sang-yun Chae'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: Model Training
- Category: Model Evaluation
- Category: Data Validation
- Category: Data Pipelines
- Category: Tensorflow
- Category: Performance Tuning
- Category: Hybrid Cloud Computing
- Category: MLOps (Machine Learning Operations)
- Category: Scalability
- Category: Cloud Deployment
- Category: Data Quality
- Category: Model Deployment
