UiPath Instructor Led Training Gen AI Training

About the Gen AI Instructor Led Training This course is tailor-made for tech-savvy individuals keen on delving into the latest advancements in the field. Over a one-day session, 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! Upon successfully completing the course, you'll be awarded a diploma of completion. Course prerequisites Attendees must have software development skills and a minimum of experience with RPA tools is recommended. Course audience The GenAI Instructor Led Training is aimed at technical audiences. Agenda The full agenda covers: - Introducing UiPath Business Platform - What is GenAI? - Specialized vs. Generative AI - Success stories - Open AI Platform - Autopilot - DU GenAI - Trust layer - Prompt Engineering - Learning resources - Technical exercises Learning objectives - At the end of the GenAI Instructor Led Training, you should be able to: - Explain what Generative AI is and what outputs it can produce. - List at least three reasons why Generative AI is important. - Explain the key terms related to Generative AI. - 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 pitfalls, limitations and ethical concerns related to this technology.