This is the repository for the LinkedIn Learning course Process Documents with Azure AI Document Intelligence. The full course is available from LinkedIn Learning.
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.
The files are named to correspond to the videos in the course. The naming convention is CHAPTER#_MOVIE#. As an example, the branch named 01_05 corresponds to the first chapter and the fifth video in that chapter.
Sample documents are available in the sampledocs folder. They can be used to test the layout model, addon features, prebuilt and markdown python codes.
The Covid consent forms for the exercise is located in the exercisedata folder. instructions.md - exercise instructions trainingdata folder - will contain the training files testdata folder - will contain the test file
- To use these python files, you must have the following installed in your environment:
- python-dotenv
- azure-ai-documentintelligence
- Instructions shall be discussed in Chapter 1, Video#5 Intro to Document Intelligence SDKs
Ziggy Zulueta
Microsoft AI Most Valuable Professional
Check out my other courses on LinkedIn Learning.