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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...

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$675 USD GSA  $245.21
Course Code AI-900T00
Duration 1 day
Available Formats Classroom, Virtual

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 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.

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.

Skills Gained

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

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:

  • Experience using computers and the internet.
  • Interest in use cases for AI applications and machine learning models.
  • A willingness to learn through hands-on exploration.

Course Details

Outline

  • Get started with AI on Azure
  • Use Automated Machine Learning in Azure Machine Learning
  • Create a regression model with Azure Machine Learning designer
  • Create a classification model with Azure Machine Learning designer
  • Create a clustering model with Azure Machine Learning designer
  • Analyze images with Azure AI Vision
  • Classify images with Azure AI Custom Vision
  • Detect objects in images with Azure AI Custom Vision
  • Detect and analyze faces with Azure AI Face
  • Read text with Azure AI Computer Vision
  • Analyze receipts with Azure AI Document Intelligence
  • Analyze text with Azure AI Language
  • Recognize and synthesize speech with Azure AI Speech
  • Translate text and speech with Azure AI services
  • Create a language model with Azure AI Language
  • Build a bot with Azure AI Language and Azure AI Bot Service