Mastering UiPath AI Center: Retrain Invoice ML Model for Document Understanding

In this video, we’ll take you step-by-step through retraining the Invoice Machine Learning (ML) package in UiPath AI Center, covering essential processes such as dataset creation, document labeling, pipeline setup, ML skill deployment, and ML logs. This guide is perfect for those looking to enhance their automation workflows within UiPath Document Understanding by leveraging AI-powered data extraction.

Overview of UiPath AI Center
UiPath AI Center is a powerful platform for managing machine learning within automation projects. It allows you to train, deploy, monitor, and retrain custom ML models. From training new models to creating ML skills for direct integration in RPA workflows, AI Center is a robust tool for AI-driven automation.

In this tutorial, we’ll cover the following key steps:

Dataset Creation:
Learn how to create and structure datasets in AI Center, setting up a foundation for training and evaluation. This includes preparing and uploading a set of invoices to help the ML model learn from a diverse range of document samples.

Document Labeling with Data Manager:
We’ll guide you through labeling key fields in invoices using AI Center’s Data Manager. Accurate labeling is essential for enabling the model to recognize specific data, such as invoice numbers and amounts.

Pipeline Creation:
Discover how to create and configure training and evaluation pipelines in AI Center. This step initiates the retraining process, enabling the model to learn from your dataset and improve its accuracy on invoice data extraction tasks.

ML Skill Creation:
After training, we’ll show you how to deploy the model as an ML skill, making it usable within UiPath Studio. This custom ML skill integrates directly into Document Understanding workflows, allowing for seamless automation of invoice data extraction.

ML Logs Overview:
Finally, we’ll review the ML Logs section in AI Center, where you can monitor training progress, model performance, and any deployment details to ensure that your retraining process runs smoothly.

By the end of this video, you’ll have a complete understanding of how to use UiPath AI Center to train and deploy a custom Invoice ML model for RPA, enabling smarter automation and more efficient data handling in Document Understanding.