AI-900: Azure AI Fundamentals

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 to become professional data scientists or software developers, but to build 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 blends instructor-led courses with online materials on the Microsoft Learn platform. The practical exercises in the course are based on Learn 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. AI-900: Azure AI Fundamentals

Audience Profile

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 the fundamentals of programming will be helpful.

Items in this collection

Introduction to Artificial Intelligence in Azure (10 units)

Using automated machine learning in Azure Machine Learning (9 Units)

Create a regression model with Azure Machine Learning designer (8 Units)

Create a classification model with Azure Machine Learning designer (8 Units)

Create a clustering model with Azure Machine Learning designer (10 Units)

Image analysis with the Computer Vision service (5 Units)

Image Classification with Custom Vision Service (6 Units)

Object detection in images with the Custom Vision service (6 Units)

Detection and analysis of faces with the Face service (5 Units)

Reading texts with the Computer Vision service (5 Units)

Analysis of receipts with the Form Recognizer service (5 Units)

Text analysis with the Language service (5 Units)

Speech recognition and synthesis (5 Units)

Text and voice translation (5 Units)

Creating a language model with conversational language recognition (5 Units)

Compilation of a bot with the Language service and Azure Bot Service (5 Units)

Previous requirements

Prerequisite certification is not required to take this course. Students in the Azure AI Fundamentals course begin with a basic understanding of computer and Internet concepts and an interest in using Azure AI services. AZ-220: Microsoft Azure IoT Developer

Specifically:

Experience in the use of computers and the Internet.

Interest in use cases for artificial intelligence applications and Machine Learning models.

Desire to learn through hands-on exploration.

Course outline

Module 1: Exploring the Basics of Artificial Intelligence

In this module, you will learn about common uses for artificial intelligence (AI) and the different types of workloads 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 Basics of Machine Learning

Machine learning is the foundation of modern AI 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 fundamental principles 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 on Azure

After completing this module, students will be able to:

Describe the characteristics 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 will 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 characteristics of Natural Language Processing (NLP) workloads in Azure

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