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University of Florida

AI in Travel, Tourism, Hospitality & Event Management

University of Florida via Coursera

Overview

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Please watch the course trailer: https://vimeo.com/1217667169 In this course, you will explore the foundations, applications, and future implications of artificial intelligence in tourism, hospitality, and event management. You will begin by learning what AI is, how it differs from traditional automation, and how technologies such as machine learning, natural language processing, computer vision, robotics, and generative AI work. You will then examine how AI supports travelers and guests before, during, and after an experience, while considering global adoption, evolving consumer expectations, and emerging industry trends. The course also explores practical applications in marketing, transportation, Mobility as a Service, and hospitality operations, including personalization, predictive analytics, staffing, maintenance, energy management, and guest service. Throughout the course, you will consider the importance of data quality, privacy, ethics, human judgment, and responsible implementation as you evaluate how AI can create value for guests, employees, and organizations. By the end of this course, you will be able to: -- Describe what artificial intelligence is and how it is used in tourism, hospitality, and events. -- Explain key AI concepts and how common AI tools and techniques work. -- Analyze how AI affects tourists, businesses, and destinations around the world. -- Evaluate ethical, legal, and societal issues related to AI in tourism, hospitality, and events. -- Propose future directions and strategies for AI adoption in tourism, hospitality, and events.

Syllabus

  • Orientation
  • Introduction to Artificial Intelligence
    • Let's start by exploring Artificial Intelligence—no, it's not just talking robots or sci-fi movie plots! You'll learn key concepts, understand important AI terminology, and trace how AI developed into the powerful technology now transforming tourism, hospitality, and events. Why start here? Because understanding the basics sets you up perfectly for the application topics coming next. Think of it as the AI orientation session—you've got to know your tools before you can build something impressive. We’ll use interactive lessons, engaging videos, and practical hands-on activities (chatbots included) to keep things lively. Throughout this module, you'll tackle questions like: "How does AI really enhance hospitality and travel?" and "Could robots become your next coworkers?" These discussions will encourage critical thinking and friendly debate, preparing you for real-world applications.
  • How AI Works & AI Ethics
    • In this module, we're unlocking the black box of how machines actually “learn.” Whether it’s a chatbot handling guest questions, a pricing engine adjusting room rates, or an AI recommending the best dinner spot, there’s a learning model behind the scenes driving those decisions. In this module, you’ll explore the three foundational types of machine learning—supervised, unsupervised, and reinforcement learning—and how they show up across the tourism, hospitality, and event industries. We’ll also introduce Natural Language Processing (NLP), the branch of AI that allows machines to understand and generate human language. By the end of the module, you’ll not only recognize the mechanics behind these technologies—you’ll start thinking critically about their benefits, limitations, and ethical implications in real-world guest experiences.
  • Global Impacts and the Future of AI in Tourism, Hospitality, and Events
    • In this module, you will explore how artificial intelligence is transforming hospitality and tourism across marketing, transportation, and hospitality operations. You will learn how AI supports customer segmentation, personalized marketing, predictive analytics, and data-driven campaigns; how Mobility as a Service uses real-time data, optimization, and personalization to create more seamless travel experiences; and how hospitality organizations use AI to improve guest service, staffing, maintenance, energy management, and operational efficiency. The module also emphasizes practical decision-making, including how to evaluate costs, benefits, guest impact, implementation challenges, and ethical considerations when introducing AI solutions.

Taught by

Nico Rose

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