What this book covers
Chapter 1, Understanding Essential Artificial Intelligence Basics for RPA Developers, will cover the key AI concepts that are relevant in your daily work as an RPA developer.
Chapter 2, Bridging the Gap between RPA and Cognitive Automation, will explore in detail the benefits of adding cognitive automation to your Robotic Process Automation (RPA) toolkit.
Chapter 3, Understanding the UiPath Platform in the Cognitive Automation Life Cycle, will explore the UiPath platform to appreciate how using this platform can help you accelerate and amplify cognitive automation.
Chapter 4, Identifying Cognitive Opportunities, will focus on how to search for cognitive opportunities, and qualify automation opportunities, to ensure the opportunity is fit for cognitive automation.
Chapter 5, Designing Automation with End User Considerations, will focus on how to gather user goals and requirements, and learn how to incorporate these goals into the design of future state automation.
Chapter 6, Understanding Your Tools, will review the activities of Document Understanding, AI Center, and Computer Vision, while reviewing the Document Understanding framework and learning about the out-of-the-box models available with AI Center.
Chapter 7, Testing and Refining Development Efforts, will review how to prepare test data and test cases, and also how to train and increase model accuracy by closing the feedback loop with human validation and UiPath's built-in validation features.
Chapter 8, Use Case 1 – Receipt Processing with Document Understanding, will demonstrate how to build cognitive automation that can interpret the images of receipts using UiPath Document Understanding.
Chapter 9, Use Case 2 – Email Classification with AI Center, will demonstrate how to build cognitive automation that can classify the text of emails using UiPath AI Center.
Chapter 10, Use Case 3 – Chatbots with Druid, will demonstrate how to build a chatbot with Druid that can interact with UiPath automation.
Chapter 11, AI Center Advanced Topics, will cover advanced topics with UiPath AI Center, including Named Entity Recognition and deploying custom ML models.