Introduction
Azure Machine Learning (ML) is a cloud service for managing machine learning project lifecycles. ML professionals, data scientists, and engineers can use Azure Machine Learning to train and deploy models and manage machine learning operations (MLOps).
An Azure Machine Learning workspace is a centralized environment for managing machine learning projects, allowing collaboration and organization of experiments, datasets, models, and deployments. The workspace provides tools for creating, training, and deploying models, along with managing compute resources and data assets. As a cloud operations professional, you need to manage Azure Machine Learning workspace authentication and authorization.
Learning objectives
After completing this module, you'll be able to:
- Set up authentication for Azure Machine Learning resources and workflows
- Manage access to Azure Machine Learning workspaces
- Set up authentication between Azure Machine Learning and other services