Microsoft Applied Skills: Azure AI Document Intelligence
Microsoft Applied Skills: Azure AI Document Intelligence, available at $44.99, has an average rating of 4.65, with 54 lectures, based on 95 reviews, and has 794 subscribers.
You will learn about Create and configure resources Programmatically analyze data in forms Create a template-based custom model Configure model endpoints for document types Extract key value pairs This course is ideal for individuals who are This is for you if you want use Document Intelligence to OCR (optical character recognition) documents, and retrieve specific data such as invoice dates, addresses and comments or This course will guide you through the skills required for the Microsoft Applied Skills credential "Create an intelligent document processing solution with Azure AI Document Intelligence". It is particularly useful for This is for you if you want use Document Intelligence to OCR (optical character recognition) documents, and retrieve specific data such as invoice dates, addresses and comments or This course will guide you through the skills required for the Microsoft Applied Skills credential "Create an intelligent document processing solution with Azure AI Document Intelligence".
Enroll now: Microsoft Applied Skills: Azure AI Document Intelligence
Summary
Title: Microsoft Applied Skills: Azure AI Document Intelligence
Price: $44.99
Average Rating: 4.65
Number of Lectures: 54
Number of Published Lectures: 54
Number of Curriculum Items: 54
Number of Published Curriculum Objects: 54
Original Price: $99.99
Quality Status: approved
Status: Live
What You Will Learn
- Create and configure resources
- Programmatically analyze data in forms
- Create a template-based custom model
- Configure model endpoints for document types
- Extract key value pairs
Who Should Attend
- This is for you if you want use Document Intelligence to OCR (optical character recognition) documents, and retrieve specific data such as invoice dates, addresses and comments
- This course will guide you through the skills required for the Microsoft Applied Skills credential "Create an intelligent document processing solution with Azure AI Document Intelligence".
Target Audiences
- This is for you if you want use Document Intelligence to OCR (optical character recognition) documents, and retrieve specific data such as invoice dates, addresses and comments
- This course will guide you through the skills required for the Microsoft Applied Skills credential "Create an intelligent document processing solution with Azure AI Document Intelligence".
Microsoft Azure allows you to extract printed and handwritten text from your documents. Among other things, you can extract barcodes, formulas, font styles, tables and check boxes.
In this 3½ hour course we’ll cover the skills that you need for the APL-3002 Microsoft Applied Skills credential for creating an intelligent document processing solution with Azure AI Document Intelligence.
It will also help with the Microsoft exam AI-102 “Designing and Implementing a Microsoft Azure AI Solution”.
This course has been updated in line with the expanded Study Guide (June 2024).
What do people like you say about this course?
Duncan says: Excellent course, especially for beginners with Python (with previous coding experience in another language). I passed the Microsoft Assessment after this with 100%. The course doesn’t give you answers word for word but rather teaches you the skills just like a good course should.
Adam says: The instructor knocked it out of the park with this one. Sure, the concepts were pretty simple and that makes it easy, but I’ve seen plenty of instructors mess this up. The instruction was clear and concise and I had no problem following along.
Li says: This is really a course that fully meets or even exceeds my expectations. The instructor explains each function in great detail, and I have to do all the exercises again. I am really lucky to be able to find this course. Yes! Recommended to you who need to use Document Intelligence!
What will we do in this course?
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First, we’ll sign up for a free Azure subscription. Then, we’ll create a Document Intelligence resource, and use it to analyze documents. We’ll use the general-purpose read and layout models, before looking at prebuilt models such as the invoice model .
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After that, we’ll analyze the data using Python and C#. We connect to the Document Intelligence resource and analyse documents both on the Internet and on our computer, extracting paragraphs, tables, key value pairs, and more.
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Finally, we’ll create our own custom extraction model. We’ll upload documents into an Azure Storage Account container, train the model based on selected fields, and test it using the portal, Python and C#.
There are several practice activities throughout the course, so you can be sure that you are learning.
By the end of the course, you’ll be able to analyse your own documents in the portal and using Python and C#, and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Welcome to Udemy
Lecture 3: How to get the best out of your Udemy course
Lecture 4: Do you want auto-translated subtitles in more languages?
Lecture 5: Curriculum
Lecture 6: Resources
Chapter 2: Using Azure AI Document Intelligence in the portal
Lecture 1: Creating an Azure account, and exploring Azure interface
Lecture 2: 1. Creating a Document Intelligence resource
Lecture 3: Using the Read model
Lecture 4: 7. Using the Layout model
Lecture 5: 4. The Prebuilt models
Lecture 6: Practice Activity Number 1
Lecture 7: Practice Activity Number 1 – The Solution
Chapter 3: The Read Model, and installing Visual Studio Code
Lecture 1: The Read model
Lecture 2: 5, 6. Installing Visual Studio Code and copying connection details
Chapter 4: Connecting to the Read Model using Python
Lecture 1: Connecting to the Read model using Python
Lecture 2: 14, 16, 20. Extracting the analysis using Python – Part 1
Lecture 3: 18. Extracting the analysis using Python – Part 2
Lecture 4: Practice Activity Number 2 using Python
Lecture 5: Practice Activity Number 2 using Python – The Solution
Chapter 5: Connecting to the Read Model using C#
Lecture 1: Starting to create our C# program
Lecture 2: Connecting to the Read model using C#
Lecture 3: 14, 16, 20. Extracting the analysis using C# – Part 1
Lecture 4: 18. Extracting the analysis using C# – Part 2
Lecture 5: Practice Activity 3 using C#
Lecture 6: Practice Activity Number 3 using C# – The Solution
Chapter 6: Connecting to the Layout Model using Python and C#
Lecture 1: The Layout Model
Lecture 2: 8. Extracting data using Python
Lecture 3: Using Environment variables and a local file using Python
Lecture 4: 8. Extracting Data using C#
Lecture 5: Practice Activity Number 4 (using either Python or C#)
Lecture 6: Practice Activity Number 4 – The Solution
Chapter 7: Connecting to the Invoice Prebuilt Model using Python and C#
Lecture 1: The Invoice Model
Lecture 2: Extracting Table Data Using Python
Lecture 3: Extracting Key-Value Pairs Using Python
Lecture 4: Extracting Table Data Using C#
Lecture 5: Extracting Key-Value Pairs Using C#
Lecture 6: Practice Activity Number 5 (using either Python or C#)
Lecture 7: Practice Activity Number 5 – The Solution
Chapter 8: Using a custom extraction model
Lecture 1: 13. Introducing custom extraction models
Lecture 2: 2, 3. Creating an Azure Blob Storage Account, and upload files to a container
Lecture 3: 9, 10, 11. Creating Model
Lecture 4: 10. Labelling Data
Lecture 5: 11, 12. Training and Testing Our Model
Lecture 6: Using our custom model using Python and C#
Lecture 7: 15, 19. Using documents from an Azure Storage Account
Lecture 8: 17. Using model results to calculate a total in Python
Lecture 9: 17. Using model results to calculate a total in C#
Lecture 10: Practice Activity Number 6
Lecture 11: Practice Activity Number 6 – The Solution
Chapter 9: Congratulations for completing the course
Lecture 1: Deleting Azure resources
Lecture 2: What's Next?
Lecture 3: Congratulations for completing the course
Lecture 4: Bonus Lecture – AI Microsoft Applied Skills
Instructors
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Phillip Burton
Best Selling Instructor – over 800,000 students so far -
I Do Data Limited
Improve your skills in SQL, Office, Tableau, Power BI + more
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 7 votes
- 4 stars: 31 votes
- 5 stars: 54 votes
Frequently Asked Questions
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