- Tensorflow
- Systems Design
- Model Evaluation
- Distributed Computing
- Scalability
- MLOps (Machine Learning Operations)
- Machine Learning
- Model Deployment
- Systems Architecture
- Google Cloud Platform
- Performance Tuning
- Hybrid Cloud Computing
Production Machine Learning Systems
Completed by Habib Ur Rehman Qaiser
August 2, 2024
18 hours (approximately)
Habib Ur Rehman Qaiser'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
