Introduction to generative AI in the UiPath ecosystem
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.
We will demystify GenAI, starting with foundational concepts and progressing to explore its vast opportunities and challenges. Through real-world examples, you will grasp the practical implications of GenAI across industries.
By the end of this course, you will 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!
The Introduction to generative AI in the UiPath ecosystem course takes 75 minutes to complete. At the end, you will receive a diploma of completion.
The only prerequisite you need is curiosity! Dive into our " Introduction to generative AI in the UiPath ecosystem" course with an open mind and a thirst for knowledge—no other requirements necessary.
This course is aimed at business users and technical audiences, as well as anybody else curious to see the power of large language models (LLMs) in business.
The full agenda covers:
What is GenAI
Relevance of GenAI
GenAI in business
Gen AI within the UiPath Platform
Make GenAI work for you
Pitfalls and limitations of generative AI
Ethics and data privacy
Future trends
At the end of this 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 a large language mode (LLM) chatbot.
Describe the risks, pitfalls, limitations, and ethical concerns related to this technology.
Describe future trends in the space of AI.
