HOME > IT & Software > Microsoft Applied Skills- Azure AI Document Intelligence

Microsoft Applied Skills- Azure AI Document Intelligence

SynopsisMicrosoft Applied Skills: Azure AI Document Intelligence, ava...
Microsoft Applied Skills- Azure AI Document Intelligence  No.1

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 3? 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?

  • 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 .

  • 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.

  • 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: Whats Next?

    Lecture 3: Congratulations for completing the course

    Lecture 4: Bonus Lecture – AI Microsoft Applied Skills

    Instructors

  • Microsoft Applied Skills- Azure AI Document Intelligence  No.2
    Phillip Burton
    Best Selling Instructor – over 800,000 students so far
  • Microsoft Applied Skills- Azure AI Document Intelligence  No.3
    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

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!