ChatGPT: Document and Image Information Extraction

Course Info

Length:

5 Days

Type:

In Classroom

City:

London

Course ID:

AINL1030
Available DatesVenue
2025-10-20London
2025-12-29London
2026-02-16London
2026-04-20London
2026-06-29London
2026-08-31London
2026-10-19London
2026-12-21London
Available DatesOther Venue
2025-09-29Barcelona
2025-09-29Dubai
2025-09-29Amsterdam
2025-09-29Paris
2025-09-29Istanbul
2025-09-29Kuala Lumpur
2025-09-29Singapore
2025-11-17Dubai
2025-12-29Amsterdam
2025-12-29Singapore
2025-12-29Barcelona
2025-12-29Paris
2025-12-29Istanbul
2025-12-29Kuala Lumpur
2026-01-19Dubai
2026-03-30Kuala Lumpur
2026-03-30Hong Kong
2026-03-30Barcelona
2026-03-30Singapore
2026-03-30Amsterdam
2026-03-30Paris
2026-03-30Istanbul
2026-03-30Dubai
2026-05-18Dubai
2026-06-29Singapore
2026-06-29Kuala Lumpur
2026-06-29Barcelona
2026-06-29Hong Kong
2026-06-29Amsterdam
2026-06-29Istanbul
2026-06-29Paris
2026-07-20Dubai
2026-09-21Paris
2026-09-21Barcelona
2026-09-21Istanbul
2026-09-21Amsterdam
2026-09-21Kuala Lumpur
2026-09-21Dubai
2026-09-21Hong Kong
2026-09-21Singapore
2026-11-30Dubai
2026-12-21Singapore
2026-12-21Amsterdam
2026-12-21Paris
2026-12-21Barcelona
2026-12-21Istanbul
2026-12-21Kuala Lumpur
2026-12-21Hong Kong

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Information extraction from documents and images is a critical skill for professionals across various industries, especially as businesses increasingly rely on AI-driven solutions for data processing and decision-making. This course offers an in-depth exploration of how AI, natural language processing (NLP), and optical character recognition (OCR) technologies can be used to extract meaningful information from both text and visual content. Over five days, participants will gain hands-on experience in setting up extraction pipelines, working with real-world data, and integrating cutting-edge techniques to process both document-based and image-based information.


The course covers fundamental principles of OCR and NLP, as well as advanced methods for improving accuracy and handling complex formats. Attendees will explore multimodal extraction systems that combine document and image processing, focusing on practical applications and challenges in various sectors such as healthcare, marketing, and legal fields. By the end of the course, participants will be equipped with the knowledge and tools needed to build automated information extraction solutions and improve efficiency in their workflows.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to Information Extraction 


  • Definition and purpose of information extraction
  • Basics of document and image information extraction
  • Fundamentals of Optical Character Recognition (OCR) technology and its application in text extraction
  • Identifying the role of natural language processing (NLP) in information extraction
  • Exploring the applications of document and image information extraction across various industries
  • Exercise: Setting up Python and relevant libraries for basic ORC and NLP tasks

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