- Hybrid Cloud Computing
- Tensorflow
- Data Pipelines
- MLOps (Machine Learning Operations)
- Performance Tuning
- Google Cloud Platform
- Systems Design
- Applied Machine Learning
- Systems Architecture
- Machine Learning
- Scalability
- Distributed Computing
Production Machine Learning Systems
Completed by Anastasiia Kunashko
May 2, 2024
18 hours (approximately)
Anastasiia Kunashko'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
