- MLOps (Machine Learning Operations)
- Model Deployment
- Google Cloud Platform
- Automation
- Continuous Deployment
- Model Evaluation
- Cloud Deployment
- Machine Learning
- Data Pipelines
- Continuous Integration
- DevOps
Machine Learning Operations (MLOps): Getting Started
Completed by Aliviani Ayu Larashati
January 4, 2021
3 hours (approximately)
Aliviani Ayu Larashati'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
