About the Introduction to Generative AI course 

Whether you're a tech enthusiast eager to explore cutting-edge advancements or a decision-maker seeking insights into the future, this course is your essential guide.

Over 30 minutes, we'll demystify GenAI, starting with foundational concepts and progressing to explore its vast opportunities and challenges. Through real-world examples, you'll grasp the practical implications of GenAI across industries.  

By the end of this course, you'll emerge equipped with a comprehensive understanding of GenAI terminology, technology, and use cases, empowering you to engage confidently in discussions and integrate GenAI into your business strategies. You will also learn how UiPath incorporates GenAI into its processes and understand the strategic importance and real-world benefits of this integration. Join us and embark on a transformative journey into the realm of Generative AI!  

To facilitate your journey, the course is preceded by a short 10-question assessment that will direct you to the training should you not reach the desired pass mark.The Introduction to Generative AI course takes 30 minutes to complete. At the end, you’ll receive a digital credential badge.

Course prerequisites

The only prerequisite you need is curiosity! Dive into our "Introduction to Generative AI" course with an open mind and a thirst for knowledge—no other requirements necessary.

Course audience 

The Introduction to Generative AI course is aimed at business users and technical audiences, as well as anybody else curious to see the power of Large Language Models in business.

The Introduction to Generative AI course agenda

The full agenda covers:  

• What is GenAI

• GenAI in action

• Potential risks and ethics concerns

• Future trends

The Introduction to Generative AI course learning objectives

At the end of the Introduction to Generative AI course, you should be able to: 

• Explain what Generative AI is with its key terms and what outputs GenAI can produce.

• List at least three reasons why Generative AI is important.

• List at least five potential use cases for Generative AI in business.

• Explain the significance of GenAI within the UiPath ecosystem, recognizing its potential impact on automation strategies.

• Use basic prompt engineering best practices when working with an LLM chatbot.

• Describe risks, pitfalls, limitations, and ethical concerns related to this technology.

• Describe future trends in the space of AI.