Overview
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.
This tourism management course is aimed at industry professionals who want to understand the applications of AI in the tourism sector. It would also suit tourism students and academics.
No prior technical knowledge of artificial intelligence is required.
Syllabus
- Introduction to AI
- Welcome to the course
- An introduction to AI
- Definition of AI
- Levels of AI and Quantification
- Environments and agents of AI
- End of Week 1
- Components of AI
- Welcome to Week 2
- Major fields and application in AI
- Classification of AI
- Application of AI
- AI in tourism
- The ethics of AI
- End of course reflection