hands-on lab

Working with Azure AI Document Intelligence Service

Intermediate
Up to 1h
40
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

Azure AI Document Intelligence service is a robust document scanning and analysis service that can be used to extract insights from documents. These documents can vary from invoices, receipts, business cards, and more. The service uses machine learning models to analyze documents and extract information from them. Along with using pre-built models, you can also create custom models to extract information from documents that are unique to your organization.

Organizations looking to leverage AI capabilities to extract insights from their documents can use the Azure AI Document Intelligence service to automate the process. This service can be used to extract information from various document types, which can be used to automate the data extraction process and reduce manual effort.

In this hands-on lab, you will learn how to create an Azure AI Document Intelligence service using Azure Portal. You will also learn how to create a custom model using the Azure AI Document Intelligence Studio to extract information from documents that are unique to your organization.

Learning objectives

Upon completion of this intermediate-level lab, you will be able to:

  • Create an Azure AI Document Intelligence service using Azure Portal
  • Explore the Azure AI Document Intelligence Studio
  • Interact with the pre-built models in the Azure AI Document Intelligence Studio
  • Create a custom model using the Azure AI Document Intelligence Studio

Intended audience

  • Candidates for AI-102: Azure AI Engineer Associate certification
  • Cloud Architects
  • Data Engineers
  • AI Engineers
  • Machine Learning Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Azure AI
  • Azure AI Studio

The following content can be used to fulfill the prerequisites:

Environment before

Environment after

About the author

Students
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Labs
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Parveen is an Azure advocate with previous experience in the professional consulting services industries. He specializes in infrastructure and DevOps with a wide range of knowledge in security and access management. He is also an Azure Certified - DevOps Engineer Expert, Security Engineer, Developer Associate, Administrator Associate, CompTIA Certified - Network+, Security+, and AWS Cloud Practitioner.
Parveen enjoys writing about cloud technologies and sharing the knowledge with the community to help students upskill in the cloud.

Covered topics

Lab steps

Logging in to the Microsoft Azure Portal
Creating Azure AI Document Intelligence Service
Analyzing Documents using Prebuilt Models in Azure AI Document Intelligence
Creating Custom Model using Azure AI Document Intelligence Studio