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.
Course info
Level
Intermediate
Updated
Dec 16, 2019
Duration
44m
Table of contents
Description
Course info
Level
Intermediate
Updated
Dec 16, 2019
Duration
44m
Description

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.

About the author
About the author

Ifedayo is a tech specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. He loves teaching and watching people learn.

Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
(Music) Hi everyone. My name is Ifedayo Bamikole, and welcome to my course on Operationalizing Microsoft Azure AI Solutions. I am a cloud solutions architect on the data and AI team at Microsoft. In this course, we are going to devise a strategy for managing version control of an AI solution. We will also identify the tools for the solution, as well as how to integrate it with other Azure services. By the end of this course, you will know how to take your AI model from conception to production by operationalizing your AI solution with Azure DevOps. Before beginning the course, you should be familiar with Azure Machine Learning Services, and if you're not, you can do so by checking the Pluralsight course on Designing Machine Learning Solutions on Microsoft Azure. After learning how to operationalize Microsoft Azure AI solutions, you can then continue your learning by diving into Securing Microsoft Azure AI Solutions. I hope you will join me to learn how to operationalize Microsoft AI solutions at Pluralsight.