Development for the Fully Automated Enterprise

Product alignment: 

This course was built using the 2020.10 product version of UiPath Platform and is applicable to newer versions as well.

Audience: 

RPA Developers with relevant experience with other RPA tools, as well as other Experienced Developers

Learning objectives

At the end of this course, you should be able to:

• Describe how AI Center works and the types of ML models it can manage.
• Recognize the types of problems that can be solved by deploying Machine Learning models in automated processes.
• Differentiate between what OCR is and what Document Understanding is.
• Explain the Document Understanding Framework.
• Define Entities, Fields and Relationships in Data Service.
• Use Entities to structure data in your projects.
• Store data in new Entity Records in Data Service and query existing Records.

Course agenda:

1. AI Center

• Introducing AI Center
• Use Cases for AI Center
• An End-to-End Preview of AI Center

2. Document Understanding

• OCR vs Document Understanding
• Document Understanding Framework⁠—Overview
• Intelligent OCR Activities

3. Data Service

• Data Service Key Concepts
• Scenario Introduction
• Creating Entities in Data Service
• Using Entities in Studio Projects
• Storing Values in Data Service

4. Practice

• AI Center and Studio
• Data Service