Operationalizing Microsoft Azure AI Solutions

Focused View

Dayo Bamikole

44:20

14 View

01 - Course Overview

01 - Course Overview.mp4

01:15

02 - Assembling Appropriate Tools and Technologies

02 - Introduction and Overview.mp4

00:36

03 - CI CD.mp4

00:53

04 - Architecture.mp4

00:57

05 - Tools Used to Preparing and Training.mp4

00:58

06 - Demo - Databricks.mp4

02:03

07 - Demo - Machine Learning.mp4

01:55

08 - Understanding the Dataset.mp4

01:21

09 - Preparing the Dataset.mp4

03:39

10 - Train the Model.mp4

05:48

11 - Summary.mp4

00:30

03 - Designing a Version Control Strategy for a Microsoft Azure AI Solution

12 - Introduction.mp4

00:57

13 - Version Control and CI CD.mp4

04:00

14 - Provision Azure Devops Environment.mp4

01:06

15 - Connect Azure Devops Project to Azure Resource Group.mp4

02:49

16 - Create Build Pipeline.mp4

02:03

17 - Release and Deploy Model in Azure Devops.mp4

05:49

18 - Test Model Via HTTP Endpoint.mp4

02:35

19 - Deploy Model to Azure Kubernetes Services.mp4

04:08

20 - Summary.mp4

00:58

Description

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.

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Artificial Intelligence

Microsoft Azure

Dayo Bamikole

Instructor's Courses

Dayo is a Technology Specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. Dayo has traveled around the United States delivering workshops on technical services in the workplace, in over 35 states, as well as Europe. The audience for these workshops varies from Database Administrators to Software Developers. Ifedayo holds several certifications in Azure, such as: Azure Data Engineer, Azure Data Scientist, Azure AI Engineer, Google Cloud Fundamentals and AWS Solutions Architect. Dayo enjoys giving presentations on technology solutions related to real-world activities.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.