Course Synopsis:

The Diploma in AI-Enabled Guest Services and Operations prepares students for modern hospitality environments where service excellence is enhanced through the use of artificial intelligence (AI) and digital technologies. The programme develops strong operational competencies in guest services, front office management, accommodation operations, food and beverage service, customer experience management, and professional communication.

Students are introduced to AI-supported systems such as smart reservation platforms, property management systems, operational dashboards, customer analytics tools, and digital feedback monitoring systems that support efficient service delivery and informed decision-making. While maintaining a strong hospitality operations foundation, the programme equips graduates with the ability to work confidently in technology-enhanced hospitality environments where data insights and automation support service quality and operational performance.

Course Objectives

Upon successful completion of the programme, learners will be able to:

• Perform guest service and operational functions using structured hospitality service standards in technology-enhanced environments.
• Apply AI-enabled tools and digital systems to improve operational efficiency and service delivery
• Interpret operational dashboards, performance indicators, and forecasting data to support service planning and decision-making.
• Manage guest interactions professionally using both traditional service techniques and AI-supported communication systems.
• Analyse customer journeys and digital feedback data to improve service personalization and operational performance.
• Communicate effectively in multicultural and digitally enabled hospitality workplaces.
• Apply theoretical knowledge in a real-world setting through an industrial attachment, gaining practical experience and industry exposure.

Modules:

1. AI-Enabled Guest Services and Digital Operations  
This module develops core guest service competencies across the hospitality service lifecycle while introducing AI-enabled digital systems used in modern operations. Students learn guest service standards, reservation handling, service coordination, and operational workflow management. AI-supported booking platforms, occupancy dashboards, and digital workflow monitoring tools are introduced to support efficient operations and service accuracy. Emphasis is placed on professionalism, service consistency, and responsible management of guest information.

2. Food and Beverage Service Operations  
This module focuses on the operational aspects of food and beverage service within hospitality environments. Students practise various service styles, including restaurant and banquet service, while utilising modern POS systems, digital inventory monitoring tools, and basic demand forecasting dashboards. AI-generated insights are introduced to support service recovery, operational efficiency, and wastage reduction. Emphasis is placed on service quality, hygiene standards, and coordinated service delivery.

3. Accommodation and Front Office Services  
This module develops competencies in accommodation and front office management within digitally supported hospitality environments. Students learn guest cycle management, reservations, room allocation, occupancy tracking, and coordination between departments using property management systems. AI-supported personalization tools and online reputation monitoring platforms are introduced to enhance guest satisfaction and operational performance.

4. Applied AI Tools in Hospitality Operations  
This module provides practical exposure to AI tools used in hospitality operations. Students learn how AI systems support forecasting, operational monitoring, and customer analytics. Learners interpret dashboards, forecasting reports, and customer behaviour data to support operational planning and decision-making. Ethical considerations and responsible use of AI technologies are also introduced.

5. Customer Experience and Data Analytics  
This module focuses on analysing guest behaviour and improving service quality through operational data insights. Students learn customer journey mapping, service touchpoint evaluation, and interpretation of digital feedback platforms. Basic hospitality data analytics techniques are introduced, including sentiment analysis and service performance monitoring. Emphasis is placed on using data-driven insights to enhance guest satisfaction, personalization, and continuous service improvement.

6. AI-Supported Professional Communication in Hospitality  
This module develops professional communication skills required in hospitality workplaces. Students practise structured communication techniques using digital collaboration tools, automated messaging systems, and AI-supported chatbots. Cross-cultural communication, service recovery dialogue, conflict management, and responsible digital communication practices are emphasised to ensure effective interaction in technology-enhanced service environments.

7. Project  
Participation in an industrial attachment is mandatory and forms an essential component of the course. In the event that a student is unable to secure a suitable internship due to circumstances beyond the college’s control, the alternative requirement will be the completion of a Project Work (Our project in lieu of IA will be of 3 months duration).

Course Structure 

Entry Requirement