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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.
Introduction to Information Extraction