- Systems Architecture
- Hybrid Cloud Computing
- Model Evaluation
- Scalability
- Model Deployment
- Tensorflow
- MLOps (Machine Learning Operations)
- Systems Design
- Distributed Computing
- Machine Learning
- Google Cloud Platform
- Performance Tuning
Production Machine Learning Systems
Completed by Serop Baghdadlian
February 23, 2023
18 hours (approximately)
Serop Baghdadlian'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
