- Machine Learning
- Tensorflow
- Scalability
- Model Deployment
- Systems Design
- MLOps (Machine Learning Operations)
- Hybrid Cloud Computing
- Systems Architecture
- Distributed Computing
- Model Evaluation
- Performance Tuning
- Google Cloud Platform
Production Machine Learning Systems
Completed by Daniel Camacho
December 31, 2024
18 hours (approximately)
Daniel Camacho'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
