Process Documents with Azure AI Document Intelligence
1h 56mIntermediate2024-09-24
Authors
Ziggy Zulueta
Course details
This comprehensive course offers you an in-depth understanding of Azure AI Document Intelligence, a powerful tool for processing and analyzing documents. In this course, Ziggy Zulueta—a Microsoft AI Most Valuable Professional—defines what Azure AI Document Intelligence is, what it needs, and its various models. Learn about the specifics of general document analysis models, prebuilt models, and custom models, providing learners with a thorough understanding of each type and their applications. Explore practical aspects, such as accessing these models using Document Intelligence Studio, REST API, and Python SDK. Dive into special considerations for Gen AI applications and the process of merging cross-page tables. By the end of this course, you will be equipped with the knowledge and skills to effectively use Azure AI Document Intelligence in various scenarios.
Learning objectives
Understand what Azure Document Intelligence is, what the different models are, and when to use them.
Understand how to access Azure Document Intelligence through the Document Intelligence Studio, REST API, and the Document Intelligence Python SDK.
Understand in detail general document analysis, document specific model types, custom and composed models.
Create custom and composed models to cater to specific needs.
Create applications that can process documents through the use of Azure Document Intelligence to meet different business requirements.
Learning objectives
Understand what Azure Document Intelligence is, what the different models are, and when to use them.
Understand how to access Azure Document Intelligence through the Document Intelligence Studio, REST API, and the Document Intelligence Python SDK.
Understand in detail general document analysis, document specific model types, custom and composed models.
Create custom and composed models to cater to specific needs.
Create applications that can process documents through the use of Azure Document Intelligence to meet different business requirements.
Skills covered
Azure AI ServicesArtificial Intelligence for DesignCloud AdministrationAI Productivity ToolsVideoAzurePhotographyGraphic DesignCloud PlatformsAnimation and IllustrationCloud ComputingBusiness Software and ToolsMicrosoftOne-Off
Concepts
0. Introduction
- 01 - Document processing with AI
1. What Is Azure AI Document Intelligence
- 02 - The need for Document Intelligence
- 03 - What is Azure Document Intelligence
- 04 - Create an Azure Document Intelligence resource
- 05 - Exploring the Document Intelligence Studio
- 06 - Introduction to Document Intelligence SDKs and API
2. Document Analysis Models
- 07 - Document analysis model definition
- 08 - Document analysis via Studio
- 09 - Document analysis via API and Python
- 10 - Document analysis add-on capabilities
3. Prebuilt Models - Document-Specific Model Types
- 11 - Scenario-specific model types definition
- 12 - Scenario-specific model types via Studio
- 13 - Scenario-specific model types via REST API and Python
4. Custom Models and Composed Models
- 14 - Custom model definition
- 15 - Setup a custom model via Document Intelligence Studio
- 16 - Custom models via REST API and Python SDK
- 17 - Composed model definition
- 18 - Custom classification models definition
- 19 - Challenge - Creating a custom model
- 20 - Solution - Creating a custom model
5. Special Scenarios
- 21 - Using Document Intelligence for generative AI
- 22 - Automating with Azure Logic Apps and Power Automate
- 23 - Running Document Intelligence in containers
Conclusion
- 24 - Key takeaways
- 25 - Resources for additional learning