Learn to Create AI Center Automations in 9 Minutes!

Table of Contents

1. Introduction
2. Setting Up AI Center
3. Creating a Project in AI Center
4. Using ML Packages in AI Center
5. Creating ML Skills in AI Center
6. Building an Automation in UiPath Studio
7. Importing ML Services Package in Studio
8. Consuming ML Skills in Studio
9. Running the Automation
10. Conclusion

Introduction

In this article, we will explore how to build an automation that utilizes a machine learning skill deployed inside of AI Center in the UiPath platform. AI Center is a powerful feature that allows users to deploy and manage machine learning models easily. Whether you are new to AI Center or want to get a taste of its capabilities, this article will guide you through the process step by step.

Setting Up AI Center

To use AI Center, you need to have either a Pro Plan or an Enterprise plan in UiPath. If you already have one of these plans, you can navigate to the Admin section in your UiPath platform and add the AI Center service. It may take a few minutes for the service to become available, but once it's ready, you will see it in the menu bar on the left.

Creating a Project in AI Center

Once AI Center is set up, you can create a project within it. The project dashboard provides various functionalities, but for this demonstration, we will focus on the ML Packages and ML Skills pages. The ML Packages page allows you to select pre-built packages or create your own, while the ML Skills page enables you to create machine learning skills using these packages.

Using ML Packages in AI Center

Before creating a skill, we need to select a package. AI Center offers both out-of-the-box packages and open-source packages. For this demo, we will choose the Sentiment Analysis package, which analyzes text and determines whether it is negative, neutral, or positive in tone. Once you have selected the package, you can give it a name and submit it.

Creating ML Skills in AI Center

After creating the package, we can proceed to the ML Skills page. Here, we can create a new machine learning skill by selecting the package we just created and specifying its version. Once the skill is created, it will be deployed in AI Center.

Building an Automation in UiPath Studio

Now that the skill is available in AI Center, we can go to UiPath Studio and start building the automation. First, we need to import the ML Services package, which allows us to use the skills. Once imported, we can drag the ML Skills activity into our sequence and select the desired skill from the dropdown list. We can then input text into the automation and test the skill by running the automation.

Running the Automation

When running the automation, an input dialogue box will appear, allowing the user to enter text for analysis. The skill will then analyze the text and return a result in the form of a JSON response. We can display the result using a message box activity. The sentiment of the text will be classified as either very negative, negative, neutral, positive, or very positive, along with a confidence score.

Conclusion

In this article, we have learned how to set up AI Center, create projects, use ML packages, and create ML skills. We have also built an automation in UiPath Studio that consumes the ML skill deployed in AI Center. By following these steps, you can leverage the power of AI Center and implement machine learning capabilities in your UiPath workflows.

🤖 Learn how to automate processes using ML skills in UiPath with AI Center!