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PROGRAM 26 · TEAM TRAINING

AI & Data for Hospitality & Tourism Professionals

Five-star replies, full rooms, and guests who come back.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Request a proposalSee the curriculum

Who this course is for

  • Hotel, resort and restaurant managers
  • Front office, reservations and guest relations teams
  • Sales, marketing and revenue staff
  • Tour operators, travel agencies and teams in Cox's Bazar, Sylhet, Dhaka and beyond

What your team will be able to do

  • Reply to bookings, enquiries and reviews in minutes, in Bangla and English
  • Create packages, menus and seasonal campaigns that sell
  • Analyse occupancy, rates and guest feedback in Excel
  • Deploy four working automations for your property or agency
How it runs

3 days at your office, 8 sessions

Three sessions a day plus a hands-on build lab every afternoon. Day 3 ends with capstone presentations.

Day 1

9:00 am – 5:00 pm

AI chatbots for hospitality work

9:00–10:30S1Prompt engineering for hospitality
10:30Tea break
10:45–12:15S2Guest replies, reviews & service recovery
12:15Lunch & prayer
1:00–2:30S3Packages, menus & marketing
2:45–4:30LABBuild lab: prompt library on your own files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Property data, then the first two builds

9:00–10:30S4Formulas & hospitality data cleaning
10:30Tea break
10:45–12:15S5Occupancy, revenue & guest experience
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: Assistant & alerts
2:45–4:30LABBuild lab: dashboard, assistant and alerts on your data
4:30–5:00Q&A and day recap

Day 3

9:00 am – 5:00 pm

Last two builds and the capstone

9:00–10:30S7Project 03: Guest request tickets
10:30Tea break
10:45–12:15S8Project 04: Invoice & voucher extraction
12:15Lunch & prayer
1:00–3:00LABCapstone build clinic
3:15–4:30LABCapstone presentations
4:30–5:00Certificates and next steps
Group: 10–40 people from one organisationSame content and projects in both formatsBangla delivery with English technical termsEvery session ends with a deliverable
Curriculum

8 sessions, one build in each

3 modules · 8 sessions · 4 hands-on projects

PART 1AI Chatbots for Hospitality WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for hospitality work (guest replies, review responses, menu text, itineraries, booking tables)
  • Free vs paid tiers; a workflow that needs no international payment card
  • Bangla vs English output quality; when to draft in English and translate
  • Which tool for a long document, which for a formula, which for a polished letter

Prompt Engineering Fundamentals

  • What a prompt is; why the same question gives different answers
  • The four-part structure: role, context, task, output format
  • Role prompting: act as a front office manager, guest relations officer, revenue manager or tour planner
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own hospitality work
  • Step-by-step reasoning for multi-part tasks such as pricing a 3-day package with transport, hotel and meals or handling an overbooking
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a holiday package (target guest → itinerary → costing → offer text → social posts) into a sequence of smaller steps

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first; refining instead of restarting
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated hospitality tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: guest passport and NID copies, card details, guest phone lists, room rate contracts with agents, staff records
  • Anonymising data before prompting; safe vs unsafe hospitality use cases
  • Hallucination awareness; verifying every figure, date, name and legal reference
  • The verification rule: AI drafts, a person checks before anything leaves the building
DELIVERABLEa personal prompt library of 10 templates for your repeated hospitality tasks.
PART 2Hospitality Data Analysis in Excel & Google SheetsSessions 4–5
PART 3Applied Projects: AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

Guest Service & SOP Assistant

Front desk, reservations and restaurant staff get answers from your property fact sheet, house rules, SOPs and cancellation policy, with the section cited.

  1. INFact sheet, SOPs & policies
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Licence, Booking & Contract Alerts

Licences, hygiene certificates, rate contracts, group booking deposits and maintenance dates checked daily, with alerts 30, 15 and 7 days ahead.

  1. INLicence & contract tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Guest Request & Maintenance Tickets

Guest requests and room defects routed to housekeeping, engineering or F&B, with escalation to the duty manager when the target time is missed.

  1. INGuest request form
  2. RULESTicket routing script
  3. OUTTicket logged, done and checked
Built with Apps Script · Forms
04Session 8

Invoice & Booking Voucher Extraction

Supplier invoices and agent vouchers become clean rows, matched against contracted rates, with duplicates and prices above the agreed rate flagged.

  1. INSupplier invoices & vouchers
  2. AIGemini structured extraction
  3. OUTChecked rows in your sheet
Built with Gemini API · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in Hospitality

Fairness & Non-Discrimination

  • Where bias enters hospitality decisions: data, wording, criteria and past patterns
  • Proxy discrimination: address, age, gender or background inferred indirectly

Privacy & Data Protection

  • Data minimisation: collect only what the decision requires
  • Retention and deletion of guest and staff data

Guest Trust & Honest Hospitality

  • No fake reviews, fake photos or misleading 'sea view' claims
  • Guest identity documents handled only as the law requires

Accountability & Human Oversight

  • Human-in-the-loop by design: AI recommends, a named person decides
  • Who owns an AI-assisted decision when it is challenged

Workforce Impact & Your AI Use Policy

  • Talking to hospitality teams about AI without triggering job-loss fear
  • Reskilling and role redesign as AI absorbs routine work
Outcomes

By the end, your team can

  • Choose the right AI tool and write prompts that work first time
  • Maintain a prompt library covering your repeated hospitality tasks
  • Reply to guests and reviews quickly and handle complaints well
  • Create packages, menus and seasonal campaigns that sell
  • Clean booking and F&B data and build an occupancy and revenue dashboard
  • Build and deploy automations with Make, Apps Script and the Gemini API
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

A guest reply library and review response set
A 3-day package, a festival menu and a campaign set
An occupancy and revenue dashboard you can defend number by number
A grounded guest service & sop assistant your colleagues can use
A licence, booking & contract alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own property or travel business

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle SheetsPower Query
Workspace
GmailCalendarMeetFormsDrive
Automation & AI builds
MakeGoogle AI StudioApps ScriptGemini API
Hospitality tools
PMS and POS exportsBooking.com and Agoda extranetsGoogle Business Profile

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and access to booking or review reports
  • One real work file to practise on from Session 2
  • No coding background required; free tiers only

How your team will learn

  • build-along classes (you work while the trainer works)
  • practise on your own workplace file, not dummy data
  • every session ends with a deliverable
  • Bangla delivery with English technical terms
  • recordings, prompt library and setup guides
  • certificate after capstone submission
Request a proposal

Bring this program to your hospitality team

Tell us about your team. We reply within one working day with a plan built around your own documents and workflows.

  1. 1 · A short discovery call with your hospitality lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp
Request a proposal