- Systems Architecture
- Performance Tuning
- Tensorflow
- MLOps (Machine Learning Operations)
- Model Deployment
- Scalability
- Systems Design
- Google Cloud Platform
- Machine Learning
- Model Evaluation
- Hybrid Cloud Computing
- Distributed Computing
Production Machine Learning Systems
Completed by Hanifan Rizki Nurahman
March 26, 2020
18 hours (approximately)
Hanifan Rizki Nurahman'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
