- DevOps
- Data Pipelines
- Model Evaluation
- Model Deployment
- Automation
- Cloud Deployment
- MLOps (Machine Learning Operations)
- Google Cloud Platform
- Continuous Deployment
- Continuous Integration
- Machine Learning
Machine Learning Operations (MLOps): Getting Started
Completed by Nattanan Warintarawet
June 8, 2021
3 hours (approximately)
Nattanan Warintarawet's account is verified. Coursera certifies their successful completion of Machine Learning Operations (MLOps): Getting Started
What you will learn
Identify and use core technologies required to support effective MLOps.
Adopt the best CI/CD practices in the context of ML systems.
Configure and provision Google Cloud architectures for reliable and effective MLOps environments.
Implement reliable and repeatable training and inference workflows.
Skills you will gain
