- Model Evaluation
- Scalability
- Systems Design
- Systems Architecture
- MLOps (Machine Learning Operations)
- Tensorflow
- Performance Tuning
- Machine Learning
- Model Deployment
- Hybrid Cloud Computing
- Distributed Computing
- Google Cloud Platform
Production Machine Learning Systems
Completed by Tamir Bennatan
August 14, 2021
18 hours (approximately)
Tamir Bennatan'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
