ChatGPT: Document and Image Information Extraction

Course Info

Date: Dec-29-2025

Length: 1 Week

City: Kuala Lumpur

Fees: 3,985

Type: In Classroom

Available Dates

  • Dec-30-2024

    Kuala Lumpur

  • Mar-31-2025

    Kuala Lumpur

  • June-30-2025

    Kuala Lumpur

  • Sep-29-2025

    Kuala Lumpur

  • Dec-29-2025

    Kuala Lumpur

Dates in Other Venues

  • Dec-30-2024

    Paris

  • Dec-30-2024

    Singapore

  • Jan-20-2025

    Dubai

  • Feb-17-2025

    London

  • Mar-31-2025

    Istanbul

  • Mar-31-2025

    Paris

  • Mar-31-2025

    Barcelona

  • Mar-31-2025

    Amsterdam

  • Mar-31-2025

    Singapore

  • Mar-31-2025

    Dubai

  • Apr-21-2025

    London

  • May-19-2025

    Dubai

  • June-30-2025

    Barcelona

  • June-30-2025

    London

  • June-30-2025

    Singapore

  • June-30-2025

    Istanbul

  • June-30-2025

    Amsterdam

  • June-30-2025

    Paris

  • July-21-2025

    Dubai

  • Aug-18-2025

    London

  • Sep-29-2025

    Paris

  • Sep-29-2025

    Barcelona

  • Sep-29-2025

    Amsterdam

  • Sep-29-2025

    Dubai

  • Sep-29-2025

    Singapore

  • Sep-29-2025

    Istanbul

  • Oct-20-2025

    London

  • Nov-17-2025

    Dubai

  • Dec-29-2025

    London

  • Dec-29-2025

    Barcelona

  • Dec-29-2025

    Istanbul

  • Dec-29-2025

    Singapore

  • Dec-29-2025

    Paris

  • Dec-29-2025

    Amsterdam

Course Details

Course Outline

5 days course

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

Advanced Document information Extraction with NLP


  • Exploring advanced OCR techniques for test extraction accuracy
  • Discovering NLP techniques for information extraction:


  1. Named entity recognition (NER)
  2. Text classification
  3. Summarization


  • Ways of using ChatGPT to enhance document processing
  • Exercise: Extracting and processing data from various document formats using Python and OpenAI’s API
  • Challenges and issues related to document information extraction

Image Information Extraction Techniques


  • Fundamentals of image processing and its role in information extraction
  • Exploring techniques for extracting features from images
  • Ways of using AI models for image analysis
  • Exercise: Building an image information extraction pipeline using Python, OpenCV, and AI models
  • Challenges and best practices in image information extraction

Integrating Document and Image Information Extraction


  • Methods of integrating OCR and image analysis to extract data from complex documents
  • Exploring machine learning techniques used for structured data extraction
  • Steps of creating multimodal information extraction systems
  • Exercise: Developing a multimodal information extraction system to process both documents and images
  • Case studies highlighting the applications of multimodal extraction systems

Automation and Real-World Applications  


  • Understanding the usage of AI and automation tools in streamlining document and image processing tasks
  • Case studies about the successful implementation of document and image extraction in different industries
  • Group activity: Creating and deploying an end-to-end document and image extraction solution
  • Discussing future trends in information extraction and effective strategies for continuous improvement
  • Final presentation and feedback
  • Recap and lesson learned