Artificial Intelligence (AI) and Automation in Hospitality

Course Info

Length: 1 Week

Type: Online

Available Dates

Fees

  • Jan-13-2025

    1,600

  • Feb-10-2025

    1,600

  • Mar-10-2025

    1,600

  • Apr-14-2025

    1,600

  • May-12-2025

    1,600

  • June-09-2025

    1,600

  • July-14-2025

    1,600

  • Aug-11-2025

    1,600

  • Sep-08-2025

    1,600

  • Oct-13-2025

    1,600

  • Nov-10-2025

    1,600

  • Dec-08-2025

    1,600

Course Details

Course Outline

5 days course

Introduction to AI and Hospitality 


  • Definition of AI and its related concepts 
  • Discussing the historical evaluation of AI in hospitality  
  • Overview of AI applications in hospitality
  • Exploring AI technologies:


  1. Machine Learning
  2. Deep Learning
  3. Natural Language Processing (NLP)
  4. Neural Networks
  5. Algorithms


  • Overview of AI tools and platforms
  • Group Discussion: Opportunities and challenges of AI in hospitality

AI in Customer Experience 


  • Overview of the applications and usage of AI in customer experience
  • Utilizing chatbots and virtual assistants to answer customer inquiries
  • Utilizing AI for personalized recommendations and services
  • Exploring the applications of augmented and virtual reality in hospitality
  • Case Study: Implementation of AI in customer experience
  • Activity: Examining chatbots of a hotel or other establishment

AI in Operations Management 


  • Overview of the applications and usage of AI in operations and management
  • Identify the impact of AI on operational efficiency
  • How to use predictive analytics for demand forecasting?
  • Utilizing AI algorithms for resource allocation and scheduling
  • Exploring the applications of automation and robotics in hospitality
  • Case Study: Analyzing the role of AI in various hospitality operations

Data Management and Security


  • Determining the significance of data in decision-making and AI applications
  • Exploring types and sources of data in hospitality
  • Methods for collecting and analyzing guest data
  • Techniques for data management in hospitality
  • Best practices for maintaining data quality in
  • Activity: Draft a data management plan for AI applications in hospitality

Future Trends and Ethical Considerations 


  • Discussing main issues and problems in AI models
  • Understanding the significance of data privacy and security
  • Ethical and legal regulations in data collection and AI deployment
  • Determining the significance of communicating AI strategy with stakeholders and terms
  • Describing long-term strategies for integrating AI into hospitality
  • Discussing emerging technologies and their impact on hospitality
  • Recap and Course Evaluation