According to DeepLearning.AI, their new course with LandingAI, 'Document AI: From OCR to Agentic Doc Extraction,' teaches users to extract information from complex documents, including those with handwritten formulas, nested captions, and overlapping watermarks. The curriculum covers practical applications of optical character recognition, layout detection, and advanced document reading, offering professionals actionable skills for automating data extraction in business workflows. As reported by DeepLearning.AI on Twitter, this course addresses growing industry needs for intelligent, agent-driven document processing.

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).