Summary
In this chapter, we covered building a cognitive automation use case with UiPath AI Center. In the construction of the use case, we learned how to create a project in AI Center, load training and evaluation datasets, build training and evaluation pipelines, and—finally—deploy an ML skill. We also learned how to leverage the ML skill within our UiPath project and learned how to close the feedback loop with UiPath's Upload File activity, allowing us to upload training data back into the training dataset of AI Center. With these foundations, you can now venture off and build your own cognitive automation.
In the next chapter, we will take another hands-on approach by working together to build the last of three use cases with UiPath and Druid. We will learn how to integrate chatbots and UiPath.
