To deploy ML skills from AI Center on UiPath Orchestrator, you can follow these general steps:
Train and Publish Model: First, you need to train your machine learning model using AI Center. Once the model is trained and validated, publish it from AI Center.
Prepare the ML Package: Export the trained model from AI Center as a deployable ML package. This package typically includes the model file, any dependencies, and configuration files.
Upload Package to Orchestrator: In UiPath Orchestrator, navigate to the ML Skill section and upload the ML package that you exported from AI Center.
Create ML Skill: After uploading the package, create an ML Skill in Orchestrator, specifying details such as name, description, and input/output parameters. Associate the uploaded ML package with this skill.
Deploy ML Skill: Once the ML Skill is created, you can deploy it to your UiPath processes or robots. This allows your automation workflows to utilize the ML capabilities provided by the deployed model.
Integrate ML Skill in Automation: In your UiPath automation projects, incorporate activities or activities packages that enable interaction with the ML Skill deployed on Orchestrator. This allows your workflows to send data to the ML model for prediction or classification tasks and receive the results back for further processing.
By following these steps, you can seamlessly integrate machine learning capabilities from AI Center into your UiPath automation workflows via Orchestrator.