- DevOps
- Automation
- Machine Learning
- Continuous Integration
- Google Cloud Platform
- MLOps (Machine Learning Operations)
- Cloud Deployment
- Model Deployment
- Continuous Deployment
- Data Pipelines
- Model Evaluation
Machine Learning Operations (MLOps): Getting Started
Completed by Yue Zhang
February 10, 2025
3 hours (approximately)
Yue Zhang'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
