Operationalizing Microsoft Azure AI Solutions
In Microsoft Azure, models can be created with Azure Databricks and Azure Machine Learning (ML). In this course we will focus on operationalizing our AI Model with Microsoft Azure's version control platform, Azure DevOps.
What you'll learn
Machine learning and the Azure Artificial Intelligence (AI) platform allow you to use existing data to forecast future behaviors, outcomes, and trends. In this course, Operationalizing Microsoft Azure AI Solutions, you’ll focus on what it means to operationalize AI in Microsoft Azure. First, you’ll go through the lifecycle of an AI model, creating the model in Azure Databricks and Azure Machine Learning Services. Next, you’ll discover how to deploy the model into Azure’s version control tool, Azure Devops, and containerize it such that it can be used by the end user. Finally, you’ll explore how to identify integration points with other Microsoft services and the containers used in Azure - Azure Container Instances and Azure Kubernetes Services. When you’re finished with this course, you’ll have the skills and knowledge of Microsoft Azure needed to devise a strategy for managing version control of an AI solution.
Table of contents
About the author
Network Interface Layer and Ethernet Operation for Cisco CCNA 200-125/100-105
- 3h 5m