Course Overview
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.
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The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.Ā
Who is it for?
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 donāt 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.Ā Ā Ā
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Entry Requirements
Familiarity with computers and using a webĀ browser..Ā
The Exam
Recommended as preparation for the following exam, which may be purchased separately:Ā
- Exam AI-900: Microsoft Azure AI Fundamentals.Ā
Course Objectives
After completing this course, you will be able to:Ā
- Describe Artificial Intelligence workloads and considerationsĀ
- Describe fundamental principles of machine learning on AzureĀ
- Describe features of computer vision workloads on AzureĀ
- Describe features of Natural Language Processing (NLP) workloads on AzureĀ
- Describe features of conversational AI workloads on Azure
Syllabus – Key points
Module 1: Introduction to AIĀ
In this module, you’ll learn about common uses of artificial intelligence (AI), and the different types ofĀ workloadĀ associated with AI. You’ll then explore considerations and principles for responsible AI development.Ā
- Artificial Intelligence in AzureĀ
- Responsible AIĀ
After completing this module,Ā you will be able toĀ
- Describe Artificial Intelligence workloads and considerationsĀ
Module 2: Machine LearningĀ
Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.Ā
- Introduction to Machine LearningĀ
- Azure Machine LearningĀ
After completing this module,Ā you will be able toĀ
- Describe fundamental principles of machine learning on AzureĀ
Module 3: Computer VisionĀ
Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you’ll explore multiple computer vision techniques and services.Ā
- Computer Vision ConceptsĀ
- Computer Vision in AzureĀ
After completing this module,Ā you will be able to
Ā
- Describe features of computer vision workloads on AzureĀ
Module 4: Natural Language ProcessingĀ
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 thatĀ analyzeĀ text, recognize and synthesize speech, translate between languages, and interpret commands.Ā
After completing this module,Ā you will be able toĀ
- Describe features of Natural Language Processing (NLP) workloads on AzureĀ
Module 5: Conversational AIĀ
Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.Ā
- Conversational AI ConceptsĀ
- Conversational AI in AzureĀ
After completing this module,Ā you will be able toĀ
- Describe features of conversational AI workloads on AzureĀ
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