- Cloud Deployment
- Model Deployment
- Continuous Integration
- Model Evaluation
- Continuous Deployment
- Google Cloud Platform
- Machine Learning
- MLOps (Machine Learning Operations)
- Data Pipelines
- DevOps
- Automation
Machine Learning Operations (MLOps): Getting Started
Completed by Salma Knani
June 15, 2021
3 hours (approximately)
Salma Knani'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
