- Performance Tuning
- Systems Design
- Model Evaluation
- Systems Architecture
- Hybrid Cloud Computing
- Scalability
- Machine Learning
- Model Deployment
- Google Cloud Platform
- Tensorflow
- Distributed Computing
- MLOps (Machine Learning Operations)
Production Machine Learning Systems
Completed by Shriman Narayan Tiwari
July 7, 2021
18 hours (approximately)
Shriman Narayan Tiwari'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
