- Distributed Computing
- Hybrid Cloud Computing
- Google Cloud Platform
- Systems Architecture
- Tensorflow
- Performance Tuning
- Model Deployment
- MLOps (Machine Learning Operations)
- Machine Learning
- Systems Design
- Scalability
- Model Evaluation
Production Machine Learning Systems
Completed by Daniel T Ocansey
October 9, 2022
18 hours (approximately)
Daniel T Ocansey'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
