About the Fundamentals of Model Training course

This course is meant to provide technical audiences and business users with the knowledge required before training a model on their data in the UiPath Communications Mining platform.

This course will go through key concepts, including labels and entities and how they work, as well as an overview of the steps involved in end-to-end model training process.

The Fundamentals of Model Training takes 30 mins to complete. At the end, you’ll receive a diploma of completion.

Course prerequisites

To make the most of this learning experience, we recommend going through the introductory UiPath Communications Mining Overview course.

Course audience

The Fundamentals of Model Training course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.

The Fundamentals of Model Training course agenda

The full agenda covers:

What is model training and what makes a ‘good’ model
Label, entities, and metadata
Introduction to model training
Training with label sentiment analysis

Fundamentals of Model Training course learning objectives

At the end of the Fundamentals of Model Training course, you should be able to:

Define what model training is.
Describe what makes a 'good' model.
Explain labels, entities, metadata, and how to use them.
Explain what the model learns from during training.
Explain the overview of model training process.
Explain best practices for applying labels and entities.