Document Understanding and Advanced UiPath RPA

• Basic programming skills (.NET, C#, VB, etc)

Audience

• Developers
• Test automation engineers
• Business intelligence professionals with technical skills
• Digital Marketing professionals with technical skills

UiPath is an RPA (Robotic Process Automation) tool for automating an organization's everyday tasks, freeing employees from the daily routine of rote work. UiPath uses diagrams, flowcharts and drag and drop options to define activities for automation. It allows for convenient administration of rules-based tasks and allows components to be shared and reused among different projects and teams.

The UiPath extensible architecture uses predictive analytics, cognitive capabilities and artificial intelligence to automate complex processes.

In this instructor-led, live training (onsite or remote), participants will learn how to use advanced functionality in UiPath Studio, as well as leveraging the ReFramework to build sophisticated agents with AI capabilities (document understanding).

By the end of this training, participants will be able to:

• Manage advanced UiPath RPA projects.
• Create enterprise-grade robotic workforce using ReFramework.
• Extract information from unstructured data sources (e.g. invoices, images).
• Create advanced applications with machine learning / AI capabilities (e.g. spam detection).

Format of the Course

• Interactive lecture and discussion
• Lots of exercises and practice
• Hands-on implementation in a live-lab environment

DAY 1

• UiPath Overview
• Variables, arguments, and control flow
• Data manipulation with lists and dictionaries
• Logging and debugging

DAY 2

• Version Control Systems Integration in Studio (v2020.10)
• State Machines in Studio
• Project Settings in Studio
• Workflow Analyzer in Studio

DAY 3

• Introduction to Robotic Enterprise Framework
• Build a ReFramework Project with Tabular Data
• Practice with ReFramework (afternoon)

DAY 4

• Document Understanding Framework - Overview
• Intelligent OCR activities
• Working with Taxonomies in the Document Understanding Framework
• Digitizing Scanned and Native Documents

DAY 5

• Document Classification
• Data Extraction
• Validating the Extraction Results
• Exporting the Data and Training the Classifiers