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, to provision remote compute, and 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.

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.

AI-102 Certification course

Approaching AI, ML Studio, and Machine Learning Service
Setting up Your Dev Environment
Training Your Model
Deploying Your Model