Process Documents with Azure AI Document Intelligence

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01 - Introduction

01 - Document processing with AI.mp4

00:55

02 - 1. What Is Azure AI Document Intelligence

01 - The need for Document Intelligence.mp4

03:02

02 - What is Azure Document Intelligence.mp4

04:16

03 - Create an Azure Document Intelligence resource.mp4

03:01

04 - Exploring the Document Intelligence Studio.mp4

03:56

05 - Introduction to Document Intelligence SDKs and API.mp4

03:53

03 - 2. Document Analysis Models

01 - Document analysis model definition.mp4

05:21

02 - Document analysis via Studio.mp4

05:01

03 - Document analysis via API and Python.mp4

05:27

04 - Document analysis add-on capabilities.mp4

05:02

04 - 3. Prebuilt Models Document-Specific Model Types

01 - Scenario-specific model types definition.mp4

04:24

02 - Scenario-specific model types via Studio.mp4

03:54

03 - Scenario-specific model types via REST API and Python.mp4

05:25

05 - 4. Custom Models and Composed Models

01 - Custom model definition.mp4

04:35

02 - Setup a custom model via Document Intelligence Studio.mp4

08:41

03 - Custom models via REST API and Python SDK.mp4

03:42

04 - Composed model definition.mp4

05:52

05 - Custom classification models definition.mp4

09:10

06 - Challenge Creating a custom model.mp4

02:13

07 - Solution Creating a custom model.mp4

03:15

06 - 5. Special Scenarios

01 - Using Document Intelligence for generative AI.mp4

05:18

02 - Automating with Azure Logic Apps and Power Automate.mp4

05:02

03 - Running Document Intelligence in containers.mp4

07:19

07 - Conclusion

01 - Key takeaways.mp4

03:20

02 - Resources for additional learning.mp4

04:00

Description

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.

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