- Performance Tuning
- Distributed Computing
- Hybrid Cloud Computing
- Model Deployment
- Tensorflow
- Scalability
- Systems Design
- Model Evaluation
- MLOps (Machine Learning Operations)
- Machine Learning
- Google Cloud Platform
- Systems Architecture
Production Machine Learning Systems
Completed by Raghav Kabra
February 29, 2020
18 hours (approximately)
Raghav Kabra'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
