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AI-900 Exam Preparation: Microsoft Azure AI Fundamentals

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Training content

6
1
1
1
COURSE
Beginner
Duration: 2 minutes and 25 seconds
AI-900 Introduction
This lesson introduces the AI-900 Exam Preparation: Microsoft Azure AI Fundamentals learning path.
COURSE
Beginner
Duration: 15 minutes and 34 seconds
Automating AI Model Creation With Azure Machine Learning
In this lesson, you will learn how to use Azure Machine Learning to train and deploy an AI model.
COURSE
Beginner
Duration: 11 minutes and 42 seconds
Designing Azure AI Vision Solutions
In this lesson, you will use the Vision Studio to explore the capabilities of the Azure AI Vision service.
COURSE
Beginner
Duration: 22 minutes and 46 seconds
Designing Azure AI Language Solutions
In this lesson, you will use the Language Studio to explore the capabilities of the Azure AI Language service.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Using Text Analytics in the Azure AI Services API
Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.
COURSE
Beginner
Duration: 10 minutes and 35 seconds
Designing Azure AI Speech Solutions
In this lesson, you will use the Speech Studio to explore the capabilities of the Azure AI Speech service.
COURSE
Beginner
Duration: 22 minutes and 18 seconds
Understanding the Azure OpenAI Service
This lesson provides an understanding of what the Azure OpenAI service is and what it offers.
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Overview

This course is designed to help you prepare for the AI-900 Microsoft Azure AI Fundamentals exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you gain a solid understanding of Azure's AI services.

This exam is part of Microsoft’s role-based certification program. Candidates who pass the AI-900 exam will earn the Microsoft Certified: Azure AI Fundamentals certification.

Learning Objectives

  • Describe AI 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

Intended Audience

  • Both technical and non-technical people who want to demonstrate their knowledge of how to implement common machine learning and artificial intelligence workloads on Azure
  • People preparing for Microsoft’s AI-900 exam

Prerequisites

  • General programming knowledge would be helpful but is not required
  • Basic experience with Azure (if you don't have any experience, take our Overview of Azure Services course)     

Your certificate for this learning path

About the Author

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Guy Hummel, opens in a new tab
Azure and Google Cloud Content Lead
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Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).

Covered Topics

Machine Learning
Artificial Intelligence
Microsoft Azure
Artificial Intelligence for Azure
Azure AI Services
Azure Bot Service
Azure QnA Maker API