- Data Pipelines
- Continuous Deployment
- Google Cloud Platform
- Model Evaluation
- Model Deployment
- DevOps
- Machine Learning
- Automation
- Cloud Deployment
- Continuous Integration
- MLOps (Machine Learning Operations)
Machine Learning Operations (MLOps): Getting Started
Completed by Shreyas Rajendra Chim
July 7, 2021
3 hours (approximately)
Shreyas Rajendra Chim'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
