Accueil / AI-3002 : Developing Solutions with Azure AI Document Intelligence

AI-3002 : Developing Solutions with Azure AI Document Intelligence

Artificial Intelligence
Level : Intermediate
Useful information
Duration : 1 Day (7 Hours)
Remote price : 800 € excl tax/pers
Targeted audience
  • AI Engineers, Data Engineers, Developers
Next dates
Remote
Intra-company
On demand

Training Overview

This hands-on training teaches you how to plan and use Azure AI Document Intelligence solutions to optimize your document management. You will learn how to create and connect Azure AI resources, choose between predefined, custom, or composite models, and efficiently extract data from forms. You will also explore creating custom skills to enrich your Azure Cognitive Search pipelines.

Learning Objectives

Trainees will be able to:

  • Plan an Azure AI Document Intelligence solution
  • Use predefined Azure AI Document Intelligence models
  • Extract data from forms with Azure Document Intelligence
  • Create a composite Form Recognizer model
  • Create a custom Form Recognizer skill for Azure Cognitive Search.
Prerequisites

Participants should have a solid understanding of creating and using document intelligence models in Document Intelligence Studio and in code. They should also have programming experience in Python or C#, be familiar with the Azure Portal, and be comfortable with provisioning Azure AI resources.

 

Training Program

Plan an Azure AI Document Intelligence Solution

  • Describe the components of an Azure AI Document Intelligence solution.
  • Create and connect to Azure AI Document Intelligence resources in Azure.
  • Choose between predefined, custom, or composite models.

Use Predefined Azure AI Document Intelligence Models

  • Identify business problems that can be solved using predefined models in Azure AI Document Intelligence.
  • Analyze forms using General Document, Read, and Layout models.
  • Analyze forms using predefined Financial, ID, and Tax models.

Extract Data from Forms with Azure Document Intelligence

  • Identify how the layout service, predefined models, and custom service in Azure Document Intelligence can automate processes.
  • Use Optical Character Recognition (OCR) features of Azure Document Intelligence with SDKs, REST API, and Azure Document Intelligence Studio.
  • Develop and test custom models.

Create a Composite Form Recognizer Model

  • Describe business problems that can be solved with custom and composite models.
  • Train a custom model to extract data from forms with unusual structures.
  • Create a composite model that can analyze forms in multiple formats.

Create a Custom Form Recognizer Skill for Azure Cognitive Search

  • Describe how a custom skill can enrich content passed through an Azure Cognitive Search pipeline.
  • Develop a custom skill that calls an Azure Forms Analyzer solution to extract data from forms.

 

Published on 16/02/2024
Teaching Method

In this training, we mix theory with technical workshops to quickly make you operational. Additionally, each participant receives course materials at the end of the training.

One of our consultant trainers conducts the training. With solid field experience, they make the learning process both interactive and enriching.

For assessment, the trainer regularly asks questions and uses various methods to continuously measure your progress. This approach promotes a dynamic and engaging learning experience.

After the training, we ask you to complete a satisfaction questionnaire. Your feedback helps us to maintain and constantly improve the quality of our training.

Finally, we offer the flexibility to deliver this training both in-person and remotely, and it can be customized to meet your company’s specific needs upon request.

Accessibility

You can register for one of our training courses up to two business days before it starts, if there are still available places and you signed quote.

If you have specific needs related to a disability, please do not hesitate to make a request; we are happy to adjust our services according to the type of disability.

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