According to Andrew Ng (@AndrewYNg), LandingAI has launched a new course titled 'Document AI: From OCR to Agentic Doc Extraction,' taught by David Park and Andrea Kropp (source: Andrew Ng on Twitter, Jan 14, 2026). The course addresses the widespread challenge of extracting structured data from unstructured documents such as PDFs and JPEGs. It covers practical techniques for building agentic document extraction systems using advanced optical character recognition (OCR) and AI-driven automation. This initiative offers concrete business opportunities for enterprises dealing with large volumes of document-based data, helping them automate workflows, improve data accuracy, and enable faster decision-making through AI-powered document processing (source: Andrew Ng on Twitter, Jan 14, 2026).

According to @DeepLearningAI, the new course 'Document AI: From OCR to Agentic Doc Extraction' developed with LandingAI introduces Agentic Document Extraction (ADE), which surpasses traditional OCR by enabling AI models to interpret documents as visual objects. This approach allows extraction of structured data, including tables, charts, and reading order, outputting formats like Markdown and JSON mapped to specific regions on the page. The course, taught by David Park and Andrea Kropp, demonstrates practical applications of ADE for business automation, document analytics, and workflow integration, offering significant efficiency improvements over legacy OCR solutions (source: @DeepLearningAI, Jan 14, 2026).