- Systems Architecture
- Machine Learning
- Tensorflow
- Scalability
- Hybrid Cloud Computing
- Model Evaluation
- Google Cloud Platform
- Distributed Computing
- Model Deployment
- MLOps (Machine Learning Operations)
- Performance Tuning
- Systems Design
Production Machine Learning Systems
Completed by 희준 조
June 26, 2019
18 hours (approximately)
희준 조'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
