Microsoft Applied Skills: Azure Ai Document Intelligence

OCR

What you'll 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

Requirements

There are no requirements for watching the course.

We'll look at how you can get a free trial of Azure for use in this course.

If you want to use the code in this course, you will need a Windows machine or some Linux systems. You cannot currently use this code on MacOS, Android or iOS devices. However, you can watch the videos in this course on these devices.

Description

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 Microsoft Applied Skills credential for creating an intelligent document processing solution with Azure AI Document Intelligence.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.

Overview

Section 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

Section 2: Using Azure AI Document Intelligence in the portal

Lecture 7 Creating an Azure account, and exploring Azure interface

Lecture 8 Creating a Document Intelligence resource

Lecture 9 Using the Read model

Lecture 10 Using the Layout model

Lecture 11 The Prebuilt models

Lecture 12 Practice Activity Number 1

Lecture 13 Practice Activity Number 1 - The Solution

Section 3: The Read Model, and installing Visual Studio Code

Lecture 14 The Read model

Lecture 15 Installing Visual Studio Code and copying connection details

Section 4: Connecting to the Read Model using Python

Lecture 16 Connecting to the Read model using Python

Lecture 17 Extracting the analysis using Python - Part 1

Lecture 18 Extracting the analysis using Python - Part 2

Lecture 19 Practice Activity Number 2 using Python

Lecture 20 Practice Activity Number 2 using Python - The Solution

Section 5: Connecting to the Read Model using C#

Lecture 21 Starting to create our C# program

Lecture 22 Connecting to the Read model using C#

Lecture 23 Extracting the analysis using C# - Part 1

Lecture 24 Extracting the analysis using C# - Part 2

Lecture 25 Practice Activity 3 using C#

Lecture 26 Practice Activity Number 3 using C# - The Solution

Section 6: Connecting to the Layout Model using Python and C#

Lecture 27 The Layout Model

Lecture 28 Extracting data using Python

Lecture 29 Using Environment variables and a local file using Python

Lecture 30 Extracting Data using C#

Lecture 31 Practice Activity Number 4 (using either Python or C#)

Lecture 32 Practice Activity Number 4 - The Solution

Section 7: Connecting to the Invoice Prebuilt Model using Python and C#

Lecture 33 The Invoice Model

Lecture 34 Extracting Table Data Using Python

Lecture 35 Extracting Key-Value Pairs Using Python

Lecture 36 Extracting Table Data Using C#

Lecture 37 Extracting Key-Value Pairs Using C#

Lecture 38 Practice Activity Number 5 (using either Python or C#)

Lecture 39 Practice Activity Number 5 - The Solution

Section 8: Using a custom extraction model

Lecture 40 Introducing custom extraction models

Lecture 41 Creating an Azure Blob Storage Account, and upload files to a container

Lecture 42 Creating Model

Lecture 43 Labelling Data

Lecture 44 Training and Testing Our Model

Lecture 45 Using our custom model using Python and C#

Lecture 46 Practice Activity Number 6

Lecture 47 Practice Activity Number 6 - The Solution

Section 9: Congratulations for completing the course

Lecture 48 Deleting Azure resources

Lecture 49 What's Next?

Lecture 50 Congratulations for completing the course

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".