1. Introduction

This tutorial aims to introduce you to the world of Artificial Intelligence (AI) and Robotic Process Automation (RPA), particularly in the context of automating workflows. We'll cover the concepts, principles, key features, and practical application of AI and RPA in process automation.

By the end of this tutorial, you will learn:
- How AI and RPA can be used for workflow automation
- How to implement AI and RPA into your workflow
- Best practices when automating workflows using AI and RPA

Prerequisites:
- Basic understanding of programming concepts
- Familiarity with any high-level programming language
- Basic understanding of AI and RPA would be beneficial but not necessary

2. Step-by-Step Guide

2.1 Understanding AI and RPA

AI refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding.

RPA, on the other hand, is a technology that uses either minimal coding or no coding at all to automate manual tasks. RPA bots can mimic human tasks and integrate the work of systems and humans.

2.2 Integrating AI and RPA

AI and RPA can be integrated to create intelligent bots that not only automate tasks but also learn from the data they process to optimize their performance.

2.3 Best Practices

When implementing AI and RPA, it's essential to:
- Start with simple tasks
- Test your bots regularly
- Train your bots with quality data

3. Code Examples

Since this is a conceptual tutorial, we won't be using specific code examples. However, we'll explain how you could theoretically apply these concepts in a practical scenario.

For instance, consider a workflow where you're automating the process of extracting information from invoices. You could use an RPA tool to extract the data and an AI to understand and categorize the information.

4. Summary

In this tutorial, we've covered:
- What AI and RPA are
- How they can be integrated for workflow automation
- Best practices when incorporating AI and RPA in your workflows

Next, you might want to delve deeper into each technology, learning more about different RPA tools like UiPath, Blue Prism, etc., and exploring different AI concepts like machine learning, deep learning, etc.

5. Practice Exercises

1. Exercise 1: Identify a simple task in your daily routine that could be automated using RPA.

2. Solution: This will depend on your routine. For instance, you might identify that checking and responding to emails can be automated.

3. Exercise 2: How can AI be integrated into the solution you identified in exercise 1 to optimize the process?

4. Solution: In the email example, an AI can learn which emails are most important to you and prioritize them in your inbox.

Remember, the key to mastering AI and RPA is practice and continuous learning. Keep exploring and experimenting with these technologies, and you'll find them becoming an integral part of your skillset.