- Continuous Integration
- Cloud Deployment
- Model Evaluation
- Data Pipelines
- Continuous Deployment
- Google Cloud Platform
- DevOps
- Model Deployment
- Machine Learning
- MLOps (Machine Learning Operations)
- Automation
Machine Learning Operations (MLOps): Getting Started
Completed by Shubham Chhajed
February 23, 2021
3 hours (approximately)
Shubham Chhajed'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
