Overview of the session

This is a hands-on, guided working session designed to take you from concept to a functioning UiPath Document Understanding workflow. Using UiPath’s out-of-the-box (OOTB) machine learning models, you’ll build a complete document automation—from ingestion to extraction to validation—optimized for rapid deployment and real-world scalability.

Whether you’re new to DU or looking to refine your implementation skills, this session gives you the practical steps, best practices, and insights that experienced teams use to build production-ready automations.

What you’ll learn

• Introduction to OOTB ML models
  A walkthrough of available UiPath ML extractors and when to use them.

• End-to-end DU workflow construction
  Create a working pipeline including classification, extraction, validation, and export.

• Configuring the DU framework
  Leveraging Taxonomy Manager, Data Manager, Validation Station, and IXP orchestration.

• Troubleshooting & optimization tips
  Common mistakes, accuracy tuning, and how to scale from prototype to production.

Who should attend?

• Automation Developers — Build along and leave with a working DU automation.

• Solution Architects — Understand the recommended patterns for DU implementations.

• Business Analysts — Learn how ML-based extraction addresses real business use cases.