- MLOps (Machine Learning Operations)
- Data Pipelines
- Continuous Deployment
- Model Evaluation
- Google Cloud Platform
- Cloud Deployment
- Automation
- Model Deployment
- Machine Learning
- DevOps
- Continuous Integration
Machine Learning Operations (MLOps): Getting Started
Completed by Tufan Dutta
February 17, 2022
3 hours (approximately)
Tufan Dutta'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
