- Systems Design
- Performance Tuning
- Applied Machine Learning
- Distributed Computing
- Systems Architecture
- Data Pipelines
- MLOps (Machine Learning Operations)
- Machine Learning
- Scalability
- Tensorflow
- Google Cloud Platform
- Hybrid Cloud Computing
Production Machine Learning Systems
Completed by Aleksandr Kalinkin
November 8, 2021
18 hours (approximately)
Aleksandr Kalinkin'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
