Learning Microsoft Azure

Chapter 6. Artificial Intelligence, Machine Learning, and Cognitive Services in Azure

Making applications easy to use and enabling users to focus on the work that adds the most value will be integral when developing applications going forward. Artificial Intelligence is a central technology for achieving this. Using Azure, all options are covered: a developer can use Cognitive Services to add cognitive intelligence into applications without needing any AI/ML skills. Machine learning engineers and Data Scientists can use Azure Machine Learning in all parts of the project lifecycle. Citizen Developers using low code/no code solutions such as Power Apps can use AI Builder to make an app more intelligent.

Håkan Silfvernagel, Manager AI and Big Data at Miles AS, Microsoft AI MVP and Microsoft Certified Trainer

In the previous chapter, we learned about data storage and databases in cloud computing using Azure. We learned about cloud storage options and data types, especially in our applications’ processes and operations. In this chapter, we will dive deeper into how we can use the data hosted in the cloud through artificial intelligence (AI), machine learning (ML), and other cognitive services in Azure that will help us build intelligent systems.

Artificial Intelligence on Azure: An Introduction

Before diving deep into the vital key and technical concepts of AI and ML and learning about the cognitive services in Azure, we need to know the basics of what they are and how they are ...