- Model Evaluation
- Model Deployment
- Automation
- Google Cloud Platform
- Data Pipelines
- DevOps
- Cloud Deployment
- Continuous Deployment
- Continuous Integration
- Machine Learning
- MLOps (Machine Learning Operations)
Machine Learning Operations (MLOps): Getting Started
Completed by Santiago Olivar Aicinena
April 26, 2021
3 hours (approximately)
Santiago Olivar Aicinena'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
