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