UiPath IXP Course

This course covers everything from basics to expert level. Start with strategy planning and real-world Use Case analysis based on the DU Framework. Dive deep into End-to-End automation development in Studio using advanced Machine Learning, Active Learning, and Enterprise-grade templates.

⏱️ Duration: 3-Day Course

Who Should Attend?

Designed for professionals looking to master end-to-end intelligent document processing, advanced ML model training, and enterprise-scale deployments.

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Automation Developers

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Solution Architects

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AI & ML Engineers

Course Learning Objectives

Analyze real-world Use Cases based on the DU Framework (Digitization, Classification, Extraction, Validation)
Develop End-to-End automation in Studio using advanced Machine Learning
Practice designing Taxonomy and managing Confidence Levels
Train ML Models—both Out-of-the-Box (OOTB) and through Data Labeling to maximize accuracy
Improve models using Active Learning techniques (Build, Measure, Publish, Monitor) using smaller datasets
Utilize the Document Understanding Process Template, an Enterprise standard
Build robust workflows with professional Error handling and Logging systems
Understand the lifecycle and Licensing structure of document management projects
Utilize Generative Extraction, Classification, and Validation via Cloud API

Comprehensive 3-Day Agenda

Day 1: Overview & Automation Build

1. UiPath Document Understanding (DU) Overview

  • The importance and role of IDP: Introduction to Intelligent Document Processing and why modern organizations need it for document management.
  • Learn the 4-step Framework: Understand the workflow from converting image data to digital data (Digitization), document sorting (Classification), reading data from documents (Extraction), to human review of the extracted data (Validation).
  • Core components and tools: Understand how to use UiPath Document Understanding (DU) alongside UiPath Studio.
  • Project management: Study the document management project lifecycle, including the Licensing structure.

2. Build a Document Understanding automation in Studio

  • Environment preparation and design: Steps to set up UiPath Studio along with defining Project Requirements and Solution Design.
  • Develop Document Understanding Workflow using the standard structure (DU Framework).
  • Understand and install necessary Packages in Studio required for Document Understanding.
  • Understand Confidence Scores of extracted data for Validation.
Day 2: ML Model Training

3. Train ML models for document understanding

  • Fundamentals and selecting ML Models: Introduction to Model-based document data extraction and selecting Out-of-the-box ML Models from UiPath.
  • Data preparation and Labeling: Steps for gathering Requirements to select the appropriate Extractor and selecting documents for Data Labeling to train the model.
  • The Train and Deploy model process.
  • Working with ML skills in Studio.
  • Building models with Form AI.
Day 3: Enterprise Templates & Active Learning

4. The Document Understanding Process template in Studio

  • Learn the Document Understanding Process Template.
  • Architecture of the Document Understanding Process.
  • Limitations and challenges encountered, along with solutions.
  • Utilizing the Document Understanding Process Template in real-world scenarios.
  • Architecture and licensing calculation of UiPath Document Understanding.

5. Active learning in modern projects of UiPath Document Understanding

  • Learn Active Learning in UiPath Document Understanding (modern experience).
  • Understand how to use Build, Measure, Publish, and Monitor components.
  • Understand the use of Generative Extraction, Classification, and Validation via Cloud API of UiPath Document Understanding.
UiPath IXP Course Instructor

Learn from Industry Experts

Get hands-on experience with advanced Machine Learning and Active Learning techniques guided by our certified UiPath instructors.

Enterprise Solutions

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