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Azure AI Document Intelligence for Business Automation 2026

Name: Azure AI Document Intelligence for Business Automation 2026
Rating: 4.9 (25 reviews)

Master Intelligent Document Processing with Azure AI – Automate Invoices, Forms & Business Workflows using Python & C#

Created byE-Learning Edge

Last updated 4/2026

English

English [Auto],

What you'll learn

You will understand the fundamentals of Intelligent Document Processing (IDP) and how it transforms manual workflows into automated systems.
You will Explore real-world business use cases such as invoice processing, KYC verification, and insurance claim automation.
You will learn to Set up and navigate the Microsoft Azure environment for Document Intelligence solutions.
You will learn to Create and configure Azure AI Document Intelligence resources step-by-step.
You will Extract text and structured data using the Read and Layout models in Azure AI.
You will Work with prebuilt models to automate extraction of key information from common business documents.
You will learn to Connect and integrate Azure Document Intelligence with Python for real-world automation tasks.
You will Build and run document processing solutions using C# for enterprise-level applications.
You will learn to Extract tables, key-value pairs, and structured data from invoices and forms efficiently.
You will learn to Design, train, and deploy custom document extraction models for unique business needs.

Course content

7 sections • 41 lectures • 5h 28m total length

Course Opener3:16
What is Document Intelligence?7:21
Use Cases in Business6:24
Explore real-world use cases of document AI in business automation, including accounts payable, loan processing, claims, KYC, and HR, to drive cost reduction, speed, accuracy, and scalable growth.
Setting up Azure account, and exploring Azure Interface8:54

Creating Document Intelligence Resource in Azure8:33
Using and understanding the Read Model16:01
Explore how to use the read model in Azure Document Intelligence Studio to extract printed and handwritten text, view JSON results, and compare pricing with the layout model.
Using and understanding the Layout Model7:28
Understanding the Prebuilt Model8:02
Explore Azure document intelligence prebuilt models to extract structured data from contracts, invoices, IDs, and other documents, enabling rapid automation and compliance workflows.
Practice Activity6:45
Follow along in the Azure portal to use Document Intelligence Studio, comparing read, layout, and pre-built invoice models to extract text, tables, and structured data from PDFs.

9. Understanding Model, Installing VS Code, and Copying Connection Details - 17:42
Explore Azure document intelligence with Python and C# by examining the read model and data structure (pages, lines, words, and paragraphs) and install and use VS Code.
10. Understanding Model, Installing VS Code, and Copying Connection Details - 24:08
11. Connecting to the Read Model using PYTHON11:12
12. Extracting the Analysis using Python - 18:32
Learn to extract structured information from a document intelligence result using Python by looping over pages, lines, and words, accessing content and metadata.
13. Extracting the Analysis using Python - 26:29
Extract and print word content and confidence from Azure AI Document Intelligence using Python, traversing pages, lines, and words, then access paragraphs with result.paragraphs and layout considerations.
14. Practice Activity using Python - PART 16:39
Develop a Python project in VS Code to connect to the Azure AI Document Intelligence read model and analyze a document. Extract pages, lines, words with confidence, and paragraphs.
15. Practice Activity using Python - PART 21:47
Connect to Azure AI Document Intelligence with Python, using the read model to extract structured data from pages to lines, words, and paragraphs—foundational across document types.

16. Starting to create our C# Program8:20
17. Extracting the Analysis using C# - PART 17:23
Connect a C# application to Azure AI Document Intelligence and analyze documents with the prebuilt read model, using an endpoint and API key, in an asynchronous pipeline.
18. Extracting the Analysis using C# - PART 25:44
Loop through document pages to extract lines and print page numbers and line content using for each and for loops in C#, with string interpolation.
19. Extracting the Analysis using C# - PART 36:18
20. Practice Activity using C#6:28

Understanding Layout Model8:16
Extracting Data using Python9:55
Using Environment Variables and Local File using Python10:07
Move credentials to a .env file and load them with os.getenv, then switch from a remote document to a local file in Python using a file stream.
Extracting Data using C#9:25
Switch to the pre-built layout model in C# to extract pages, lines, words, and selection marks, using a local file stream and a 0.92 confidence filter.
Practice Activity using either Python or C#10:11

The Invoice Model6:50
Extracting Table Data using Python9:25
Extracting key-value pairs using Python9:34
Extract key-value pairs from invoice documents with Python, looping through result.documents and fields to filter string values and reveal clean, relevant data such as customer name and invoice id.
Extracting Table Data using C#9:57
Extracting key-value pairs using C#10:37
Extract key-value pairs from an invoice by iterating result.documents and document.fields in C#, then safely retrieve values and filter for string data.
Practice Activity using either Python or C#10:51

Introducing Custom Extraction Models8:10
Creating an Azure Blob Storage Account and adding files to a Container8:49
Azure storage account and blob container, upload sample invoices for training, and understand blob storage and metadata like labels.json, ocr files, and schema definitions for a custom model.
Creating a Custom Extraction Model - PART 110:03
Create a custom extraction model in Azure AI Document Intelligence by building a project in Document Intelligence Studio, connect resources and storage, and label invoice data to form training data.
Creating a Custom Extraction Model - PART 25:56
Create a custom extraction model by mapping table fields (items, quantity, amount), populating data, and labeling training data in blob storage using layout analysis and optical character recognition.
Labelling Data in our Custom Extraction Model - PART 110:29
Labelling Data in our Custom Extraction Model - PART 25:29
Training and Testing our Custom Model Extraction10:33
Train and test a custom document extraction model in Azure document intelligence, converting labeled data to a trained model, evaluating accuracy, and validating with a new document.
Working with our Custom Models using Python and C#8:49
Course Closure1:44

Requirements

Basic programming knowledge in Python or C# is helpful
Basic understanding of business documents (invoices, forms, etc.) is a plus
Willingness to learn automation and AI-based document processing

Description

Unlock the Power of AI to Automate Document Processing in Your Business!

Are you tired of manual data entry, handling piles of documents, or repetitive business processes? This course will help you transform the way you work using Azure AI Document Intelligence — one of the most powerful tools for automating document-based workflows.

In this hands-on course, you will learn how to extract, analyze, and process data from documents like invoices, forms, and business records using AI. Whether you're a beginner or a professional, this course will guide you step-by-step from basics to building real-world automation solutions.

What You’ll Learn:

· Understand Intelligent Document Processing (IDP) and real-world applications

· Set up and work with Microsoft Azure for Document Intelligence

· Extract text and structured data using Read and Layout models

· Use prebuilt models for invoices, forms, and key-value extraction

· Build document processing solutions using Python and C#

· Work with tables, forms, and structured data efficiently

· Create, train, and deploy custom AI models for your own use cases

By the End of This Course, You’ll be able to build intelligent document processing solutions that can automatically extract, analyze, and organize business data — saving time, reducing errors, and increasing efficiency. Automate business workflows and reduce manual effort.

The future belongs to those who automate—start now, build real skills, and stay ahead in the AI-driven world!

Who this course is for:

Beginners who want to start learning AI-powered business automation
Students and professionals interested in Microsoft Azure and cloud-based AI services
Python or C# developers looking to build real-world document processing applications
Anyone looking to build practical, job-ready skills in AI automation without deep prior experience

Azure AI Document Intelligence for Business Automation 2026

What you'll learn

Explore related topics

Course content

Introduction to Document AI4 lectures • 26min

Setting Up and using Azure Document Intelligence5 lectures • 47min

The Read Model- VS Code Connection, and Connection using Python7 lectures • 46min

Connecting to the Read Model using C#5 lectures • 34min

Connecting to the Layout Model using Python and C#5 lectures • 48min

Connecting to the Invoice Prebuilt Model using Python and C#6 lectures • 57min

Using a Custom Extraction Mode9 lectures • 1hr 10min

Requirements

Description

Who this course is for: