An Introduction to Artificial Intelligence in the Tourism Industry

Discover how artificial intelligence is set to shape the future of tourism, in this introductory tourism management course aimed at industry professional, from Luleå University of Technology

Duration

2 weeks

Weekly study

4 hours

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Get an introduction to the potential applications of AI in tourism management

We are in the midst of what commentators are calling the Fourth Industrial Revolution, or Industry 4.0.

This describes the advent of new technologies that are set to irreversibly change working practices across sectors. Chief among these technologies are artificial intelligence and machine learning. These changes will almost certainly have a profound effect on the future of tourism.

This tourism management course offers an introduction to artificial intelligence, and considers how it will affect the tourism industry.

Explore applications of AI in the tourism industry, such as generative AI

You will gain a broad understanding of how AI and machine learning work, and learn to distinguish fact from fiction. You will consider the latest trends and developments, considering real-life artificial intelligence use cases. You will also consider key questions around AI ethics, addressing the common and valid concerns that come with these new technologies.

With this introduction to AI, you will begin to understand the potential applications of AI in the tourism industry. This will empower you to shape its future.

Shape the future of tourism

This tourism management course does not require any prior technical knowledge of artificial intelligence or computer programming. It is aimed at tourism industry professionals, with a stake in the future of tourism.

It is designed and delivered by leading artificial intelligence experts at the Luleå University of Technology.

  • Week 1

    Introduction to AI

    • Welcome to the course

      Welcome to the course An Introduction to Artificial Intelligence in the Tourism. In this week, we present artificial intelligence and the history of AI.

    • An introduction to AI

      What is and what is not AI? Also included here is a short history of AI.

    • Definition of AI

      An explanation about how experts define AI

    • Levels of AI and Quantification

      We go through the levels of Intelligence and explain the differences between strong AI and weak AI.

    • Environments and agents of AI

      An introduction to different types of AI environments and agents.

    • End of Week 1

      A summary of the week

  • Week 2

    Components of AI

    • Welcome to Week 2

      In Week 2, we are going to talk about all the important components of AI. We will cover topics like Machine Learning, Reasoning, and Robotics as well as discuss ethics in AI and how to apply it to the Tourism sector.

    • Major fields and application in AI

      An examination of the sub-areas of AI as per the European Union Expert Report: machine learning, reasoning and robotics.

    • Classification of AI

      We talk about classification, in general, as well as clustering and how to apply it to AI.

    • Application of AI

      We talk about general application of AI such as speech and translation.

    • AI in tourism

      We give recommendations for the tourism sector and talk about online customer service.

    • The ethics of AI

      In this section, we will discuss ethical concepts and the ethical requirements in AI.

    • End of course reflection

      We look back at the course and reflect on what we have been learning.

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