This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.

The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.

The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful

You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts

After completing this course, you will be able to:

• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure

Introduction to AI in Azure

• Introduction to AI concepts
• Introduction to machine learning concepts
• Get started with machine learning in Azure
• Introduction to generative AI concepts
• Get started with generative AI in Azure
• Introduction to natural language processing concepts
• Get started with natural language processing in Azure
• Get started with speech in Azure
• Introduction to computer vision concepts
• Get started with computer vision in Azure
• Introduction to AI-powered information extraction concepts
• Get started with AI-powered information extraction in Azure