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