Course AI-900T00 Microsoft Azure AI Fundamentals

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.

This course can be taken as an optional first step in learning about cloud AI services with Microsoft Azure, before taking further Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate.

After completing this course, students will be able to:

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

Audience Profile

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

Before attending this course, students must have:

• Experience using computers and the internet