AI for Supply Chain and Logistics Optimization
03/11/2024Performance Monitoring and Optimization
04/11/2024Document and Image Information Extraction
£4,500.00
Overview:
This course provides an in-depth understanding of extracting structured information from documents and images using state-of-the-art AI techniques. Participants will explore OCR, NLP, and multimodal AI models, leveraging tools like Hugging Face, OpenCV, and CLIP to create efficient and scalable information extraction pipelines. The course is designed to apply these skills to real-world challenges in various sectors, such as healthcare, finance, and legal services, ensuring that participants can build compliant and automated extraction workflows.
Program Objectives:
At the end of this program, participants will be able to:
- Understand foundational concepts in document and image information extraction.
- Apply OCR and NLP techniques to extract text accurately from documents and images.
- Utilize advanced AI models, including Hugging Face and CLIP, for complex information extraction.
- Design multimodal information extraction systems that handle text, tables, and images.
- Implement low-code/no-code tools for accessible and efficient information extraction solutions.
- Create automated, compliant information extraction workflows suitable for diverse industries.
- Explore emerging trends and best practices in document and image information extraction.
Target Audience:
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- Data Scientists and AI Engineers
- IT Professionals and Software Developers
- Content Managers and Compliance Officers
- Healthcare Administrators and Legal Analysts
- Marketing and Business Analysts
- Archivists, Journalists, and Business Leaders
Program Outline:
Day 1: Foundations of OCR, NLP, and Information Extraction
- Introduction to Information Extraction – OCR, NLP, and Applications Across Industries.
- OCR Basics and Key Techniques for Accurate Text Extraction.
- NLP Fundamentals for Information Extraction – Tokenization, Named Entity Recognition (NER), and Text Summarization.
- Real-World Use Cases for Document and Image Information Extraction.
- Hands-On Exercise: Setting Up Python and Hugging Face Transformers for OCR and NLP.
- Reflection & Review: Group Discussion on the Role of Information Extraction in Various Sectors.
Day 2: Advanced Document Information Extraction
- Advanced OCR Techniques to Improve Accuracy and Text Quality.
- Advanced NLP Techniques for Document Extraction – Document Classification, Summarization, and Contextual Analysis with Hugging Face Models.
- Enhancing Data Extraction Workflows Using Generative AI (e.g., OpenAI’s GPT and Hugging Face Models).
- Low-Code/No-Code Tools for Document Extraction (e.g., Microsoft Power Automate, Google Document AI).
- Hands-On Exercise: Extracting Structured Data from Complex Document Formats Using Hugging Face and OpenAI APIs.
- Reflection & Review: Challenges and Best Practices in Document Information Extraction.
Day 3: Image Information Extraction and Analysis
- Introduction to Image Processing for Information Extraction – Basics of OpenCV.
- Techniques for Image Analysis, including Table and Chart Recognition.
- Using AI Models for Visual Feature Extraction (CLIP and Hugging Face Vision Transformers).
- Case Studies of Image-Based Information Extraction in Healthcare and Legal Sectors.
- Hands-On Exercise: Building an Image Extraction Pipeline with Python, OpenCV, and CLIP.
- Reflection & Review: Addressing Common Challenges and Best Practices in Image Data Extraction.
Day 4: Multimodal Information Extraction – Combining Document and Image Data
- Approaches to Multimodal Information Extraction – Integrating Text, Tables, and Images.
- Utilizing Pre-Trained Multimodal Models (e.g., CLIP and Hugging Face Transformers) for Complex Data Extraction.
- Developing a Multimodal Pipeline for Structured Data Extraction Across Text and Visual Inputs.
- Practical Examples of Multimodal Extraction in Finance, Marketing, and Compliance.
- Hands-On Exercise: Building a Multimodal Information Extraction System Using Hugging Face Models and CLIP.
- Reflection & Review: Group Discussion on Multimodal Applications and Industry-Specific Challenges.
Day 5: Automation, Compliance, and Future Trends in Information Extraction
- Automation Techniques for Document and Image Processing Using AI.
- Compliance and Data Privacy Considerations in Automated Information Extraction.
- Industry Case Studies of Successful Implementations in Healthcare, Legal, and Finance.
- Future Trends – Enhanced Multimodal Models, Generative AI, and Automated Document Summarization.
- Capstone Project: Developing an End-to-End Information Extraction Solution Focused on Compliance and Real-World Application.
- Reflection & Review: Project Presentations, Peer Feedback, and Final Discussion on Emerging Technologies.