Artificial Intelligence and Hospitality Management Course

Apply AI to guest experience, hotel operations, forecasting and hospitality marketing through practical exercises and a rollout plan. Enrol with EPW today.

Travel and Tourism Management Training Courses Confirmed

Artificial Intelligence and Hospitality Management Course

Training Outlines

Course Introduction

Hospitality depends on responsive service, sound commercial judgement and coordinated operations. AI creates opportunities to support these activities, but successful adoption requires clear objectives, reliable information and appropriate human involvement. This course helps managers connect AI capabilities with specific hospitality needs, test proposed applications and plan implementation around guest experience, operational feasibility and measurable performance.

Course Objectives

Distinguish predictive AI, generative AI and routine automation in hospitality applications
Design and evaluate AI-supported guest communication with clear human escalation
Interpret demand forecasts and revenue recommendations using relevant hospitality measures
Identify operational workflows where AI can support productivity and service consistency
Assess guest feedback and marketing outputs for accuracy, relevance and bias
Develop an AI pilot proposal with governance controls, staff responsibilities and success measures

Who Should Attend

Hotel and resort managers, hospitality operations leaders, front office and guest experience managers, revenue and commercial managers, food and beverage managers, marketing professionals, tourism business leaders and digital transformation coordinators. No programming experience is required.

Course Methodology

Short technical briefings, hotel and resort case studies, guided prompting exercises, synthetic data analysis, output-review workshops and a final pilot-design presentation. Participants compare AI outputs with source information, practise human approval and escalation decisions, and receive feedback on service quality, commercial reasoning and implementation feasibility. Exercises use simulated guest and business information.

Day One: AI Foundations and the Guest Journey

Predictive AI, generative AI and automation: capabilities, limitations and suitable uses
Mapping opportunities across enquiries, reservations, arrival, stay and departure
Writing prompts with clear context, approved information and output requirements
Checking guest-facing responses for accuracy, tone, accessibility and escalation needs
Practical exercise: design and test an AI-supported guest enquiry workflow using simulated information

Day Two: Demand Forecasting and Revenue Decision Support

Hospitality data sources, data quality, seasonality, booking pace and cancellations
Interpreting occupancy, average daily rate and revenue per available room
Comparing AI forecasts with simple baselines and assessing uncertainty and forecast error
Reviewing pricing and inventory recommendations against commercial objectives and service commitments
Practical exercise: analyse a simulated demand scenario and justify a revenue recommendation

Day Three: AI in Hospitality Operations and Workforce Productivity

Coordinating housekeeping priorities, room readiness and cross-department handovers
Supporting workload planning, staff knowledge access and training with managerial oversight
Applying demand insights to food and beverage purchasing, inventory and waste reduction
Evaluating maintenance and energy-management alerts alongside operational evidence
Practical exercise: redesign an operational workflow with defined approvals, exceptions and performance measures

Day Four: Guest Insights, Marketing and Reputation Management

Analysing reviews and survey comments while recognising sentiment and sampling limitations
Using permitted guest preferences and segments to develop relevant service and marketing ideas
Creating and reviewing campaign drafts for factual accuracy, brand consistency and cultural suitability
Measuring engagement, conversion, service recovery and the contribution of AI-supported activity
Practical exercise: turn a synthetic feedback dataset into an improvement brief and reviewed campaign concept

Day Five: Responsible Adoption and Implementation Planning

Protecting guest and business information through data minimisation, access controls and approved tools
Assigning accountability for accuracy, bias, human review, escalation and incident response
Assessing suppliers, integration needs, total costs and evidence behind benefit claims
Planning a pilot with staff engagement, training, baseline measures and scale-or-stop criteria
Capstone exercise: present an AI hospitality pilot proposal with a workflow, business case and governance plan

Training Locations

This Artificial Intelligence and Hospitality Management Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Jakarta

Indonesia

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Osaka

Japan

Tokyo

Japan

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

Kuala Lumpur

Malaysia

Malé

Maldives

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Abuja

Nigeria

Lagos

Nigeria

Port Harcourt

Nigeria

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Incheon

South Korea

Seoul

South Korea

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Sri Jayawardenepura Kotte

Sri Lanka

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kaohsiung

Taiwan

Taipei

Taiwan

Ankara

Turkey

Istanbul

Turkey

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Artificial Intelligence and Hospitality Management Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.