- Machine Learning
- Systems Design
- Tensorflow
- Distributed Computing
- Systems Architecture
- Performance Tuning
- Hybrid Cloud Computing
- Google Cloud Platform
- Data Pipelines
- MLOps (Machine Learning Operations)
- Scalability
- Applied Machine Learning
Production Machine Learning Systems
Completed by Jose Andres SANCHEZ SANCHEZ
October 29, 2024
18 hours (approximately)
Jose Andres SANCHEZ SANCHEZ'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
