Azure Machine Learning: Deploy and consume models

"Deploy and Consume Models with Azure Machine Learning" provides learning materials on how to take machine learning models and make them usable in real-world applications using Microsoft's Azure cloud platform. It focuses on the transition of a developed model from its training phase to a deployed and actively used state. You will learn about the essential steps involved in deploying machine learning models. This includes understanding the Azure Machine Learning service and how it facilitates the deployment process. The key learning objective is to grasp how to take a trained model and make it available for making predictions or inferences on new data. This involves configuring the model for deployment, setting up endpoints to access the model, and understanding how to consume the model's predictions within an application or system. This course will equip someone with the knowledge of how to move a machine learning model from a theoretical or experimental phase to a practical, operational one within the Azure cloud environment.

• How to deploy machine learning models using Azure Machine Learning service
• The steps involved in deploying machine learning models
• How to configure a model for deployment
• How to set up endpoints to access the deployed model
• How to consume the model's predictions within an application or system