Developing AI Models in Microsoft Azure

AI is no longer science fiction or the exclusive domain of scientists. In this course, you will explore how to train and deploy custom AI models using Microsoft Azure Machine Learning Service.
Course info
Level
Intermediate
Updated
May 31, 2019
Duration
1h 31m
Table of contents
Description
Course info
Level
Intermediate
Updated
May 31, 2019
Duration
1h 31m
Description

AI is all around us, and it is no longer just the work of scientists. In this course, Developing AI Models in Microsoft Azure, you will learn the ins and outs of Azure Machine Learning Service. You'll start with the basics, and learn how to set up your development environment with a demo walking through each important step. With your development environment set up, you'll examine how to use the facilities of the Azure machine learning workspace, interact with it via VSCode and Jupyter notebooks using the Azure ML SDK, how to provision remote compute, and how to deploy a model to the various options, such as docker image, ACI, or AKS. By the end of this course, you will have the necessary skills to tackle any enterprise class custom AI problem in the Microsoft Azure ecosystem.

About the author
About the author

Sahil Malik has been a Microsoft MVP for the past 8 years, author of several books and numerous articles in both the .NET and SharePoint space, consultant and trainer who delivers talks at conferences internationally.

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