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Getting Started with Amazon Textract (Includes Labs)

Offered By: Amazon Web Services via AWS Skill Builder

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Amazon Textract Courses Machine Learning Courses Cloud Computing Courses

Course Description

Overview

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Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents and goes beyond optical character recognition (OCR) to identify, understand, and extract data from forms and tables. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and costs of Amazon Textract. You will review an architecture for a text-extraction solution using Amazon Textract that you can further adapt to your use case. You can also practice what you learned in the course with the help of a lab.

  • Course level: Fundamental
  • Duration: 1 Hour 30 Minutes


Activities:

This course includes presentations, graphics, and a step-by-step tutorial to follow along.


Course objectives:

In this course, you will do the following:

  • Understand how Amazon Textract works.
  • Familiarize yourself with basic concepts of Amazon Textract.
  • Recognize the benefits of Amazon Textract.
  • List typical use cases for Amazon Textract.
  • Describe the typical architectures associated with an Amazon Textract solution.
  • Specify what it would take to implement Amazon Textract in a real-world scenario.
  • Understand the cost structure of Amazon Textract.
  • Implement a demonstration of Amazon Textract in the AWS Management Console.


Prerequisites

We recommend that attendees of this course have completed the following trainings:

  • AWS Technical Essentials


Course outline

  • Amazon Textract Basics
  • How Is Amazon Textract Used to Architect a Solution?
  • Amazon Textract Use Cases
  • Amazon Textract Guidelines and Best Practices
  • Amazon Textract Costs
  • Self-Paced Lab: Getting Started with Amazon Textract: Process Documents with Synchronous and Asynchronous Operations
  • Learn More about Amazon Textract

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