- Continuous Integration
- Automation
- Cloud Deployment
- Machine Learning
- MLOps (Machine Learning Operations)
- DevOps
- Data Pipelines
- Model Evaluation
- Google Cloud Platform
- Model Deployment
- Continuous Deployment
Machine Learning Operations (MLOps): Getting Started
Completed by Guillermo Manuel Galván Soltero
August 25, 2021
3 hours (approximately)
Guillermo Manuel Galván Soltero'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
