- DevOps
- Model Deployment
- Automation
- Model Evaluation
- Data Pipelines
- MLOps (Machine Learning Operations)
- Machine Learning
- Continuous Integration
- Continuous Deployment
- Google Cloud Platform
- Cloud Deployment
Machine Learning Operations (MLOps): Getting Started
Completed by Oscar Alfredo Perez Ramirez
July 12, 2023
3 hours (approximately)
Oscar Alfredo Perez Ramirez'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
