- Model Deployment
- Hybrid Cloud Computing
- Tensorflow
- Distributed Computing
- Scalability
- Machine Learning
- Google Cloud Platform
- Systems Design
- Systems Architecture
- Model Evaluation
- Performance Tuning
- MLOps (Machine Learning Operations)
Production Machine Learning Systems
Completed by Daniel Sileshi Asfaw
February 6, 2021
18 hours (approximately)
Daniel Sileshi Asfaw'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
