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.
Author Name: Sahil Malik
Author Description:
Sahil Malik, the founder and principal of Winsmarts.com, has been a Microsoft MVP and INETA Speaker for the past 8 years, author and reviewer of many books and numerous articles in both the .NET and SharePoint space, consultant and trainer who delivers training and talks at conferences internationally. Sahil has trained for the best names in the Microsoft technology space, and has architected and delivered SharePoint based solutions for extremely high profile clients. Sahil has been deeply invol… more

Table of Contents

• Course Overview
  1min
• Approaching AI, ML Studio, and Machine Learning Service
  25mins
• Setting up Your Dev Environment
  25mins
• Training Your Model
  22mins
• Deploying Your Model
  14mins
• Wrapping Up
  2mins