- Machine Learning
- Systems Design
- Performance Tuning
- Scalability
- Model Deployment
- Tensorflow
- Distributed Computing
- Systems Architecture
- MLOps (Machine Learning Operations)
- Hybrid Cloud Computing
- Google Cloud Platform
- Model Evaluation
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
