This course introduces fundamental concepts related to artificial intelligence (AI) and services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students how to become professional data scientists or software developers, but rather to raise awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that mixes instructor-led courses with online materials on the Microsoft Learn platform. The practical exercises in the course are based on Learning modules, and students are encouraged to use the Learn content as reference materials to reinforce what they learn in class and explore topics in greater depth. Microsoft Certified Azure AI Fundamentals

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions that artificial intelligence (AI) makes possible and the services in Microsoft Azure that you can use to create them. You do not need to have any experience 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 graphs. The course includes hands-on activities that involve working with data and running code, so knowing fundamental programming principles will be helpful. AI-900: Azure AI Fundamentals

Module 1: Exploring the basics of artificial intelligence

In this module, you will learn about common uses of artificial intelligence (AI) and the different types of workload associated with AI. You will then explore considerations and principles for responsible AI development.

Lessons

Introduction to artificial intelligence

Artificial intelligence in Microsoft Azure

After completing this module, students will be able to:

Describe AI workloads and considerations

Module 2: Exploring the Fundamentals of Machine Learning

Machine learning is the foundation of modern artificial intelligence solutions. In this module, you will learn about some fundamental machine learning concepts and how to use the Azure Machine Learning service to create and publish machine learning models.

Lessons

Introduction to machine learning

Azure Machine Learning

After completing this module, students will be able to:

Describe the fundamentals of machine learning in Azure

Module 3: Exploring the Basics of Computer Vision

Computer vision is an area of ​​AI that deals with understanding the world visually, through images, video files and cameras. In this module, you will explore multiple computer vision techniques and services.

Lessons

Computer vision concepts

Building Computer Vision solutions in Azure

After completing this module, students will be able to:

Describe the features of computer vision workloads in Azure

Module 4: Exploring the Basics of Natural Language Processing

This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Lessons

Introduction to natural language processing

Building natural language solutions in Azure

After completing this module, students will be able to:

Describe the features of natural language processing (NLP) workloads in Azure