- Performance Tuning
- Systems Architecture
- Systems Design
- Hybrid Cloud Computing
- Distributed Computing
- Model Evaluation
- Model Deployment
- MLOps (Machine Learning Operations)
- Machine Learning
- Scalability
- Google Cloud Platform
- Tensorflow
Production Machine Learning Systems
Completed by Dmytro Filatov
March 30, 2021
18 hours (approximately)
Dmytro Filatov'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
