Half Day, Live Virtual Training
This Half Day interactive course introduces beginning and mid-level hospitality and tourism professionals to practical applications of artificial intelligence. Through hands-on activities, discussions, and real-world examples, participants will learn how AI tools like Microsoft CoPilot can streamline administrative tasks, enhance personalized guest interactions, and improve overall operational efficiency within the industry. This training offers tracks for hospitality leaders, as well as team members, and is designed to equip professionals with the knowledge and tools to successfully leverage Ai for competitive advantage in hospitality and tourism.
2026 Open Enrollment Dates
May 13, 2026LEADER TRACK
$295/seat
- 8am – 12pm (PST)
- 11am – 3pm (EST)
- via Microsoft Teams
June 10, 2026TEAM MEMBER TRACK
$295/seat
- 8am – 12pm (PST)
- 11am – 3pm (EST)
- via Microsoft Teams
Course Objectives
Primary Focus: Large Language Models for hospitality applications (adaptable for ChatGPT, Claude, Copilot, or Gemini)
Industry-Specific Customization Features:
Real Hospitality Context:
• Current Market Realities: AI market growth to $167.0B by 2031, 65% of hotels report staffing shortages, RevPAR growth projected at only 1.2% in 2024
• Technology Environment: Legacy property management system integration challenges, mobile-first guest expectations, IoT device management complexity
• Guest Expectations: 61% willing to pay more for personalized experiences, 78% prefer automated front desk services, 70% find AI chatbots helpful for simple inquiries
Practical Hospitality Applications:
• Guest Journey: Discovery → Booking → Pre-arrival → Check-in → Stay Experience → Check-out → Post-stay Engagement
• Performance Metrics: RevPAR, ADR (Average Daily Rate), occupancy rates, guest satisfaction scores, operational efficiency ratios
• Compliance Requirements: Data privacy protection, accessibility standards, payment security, local hospitality regulations
Hospitality-Specific Challenges:
• Technology vs. Human Touch: Integrating AI tools while maintaining personal guest relationships and authentic hospitality
• Efficiency vs. Service Quality: Implementing automation to address staffing shortages without compromising guest experience
• Cost vs. Revenue: Investing in AI systems with clear ROI in a margin-sensitive industry with rising operational costs
Hands-on Activities Using Real Scenarios:
Assessment and Follow-up:
• Pre-course Survey: Current AI experience, hospitality role focus, technology usage, guest service priorities
• Between Sessions: Apply AI to actual hospitality project (guest personalization, revenue optimization, operational efficiency enhancement)
