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PROGRAM 47 · TEAM TRAINING

AI & Data for Aviation & Travel Professionals

Faster bookings, happier travellers, and packages that sell.

Important: Visa rules, entry requirements, fares and refund conditions change often. Every AI-drafted itinerary, visa checklist or fare explanation is checked against the embassy, airline or GDS source before it reaches a traveller.

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

  • Travel agency owners, ticketing and reservation staff
  • Hajj, Umrah and holiday package teams
  • Airline sales, ground handling and customer service staff
  • Visa processing, student travel and corporate travel desks

What your team will be able to do

  • Build itineraries, packages and visa checklists in minutes, then verify them
  • Reply to booking, change and refund questions clearly in Bangla and English
  • Analyse bookings, margins and supplier performance with AI help
  • Deploy four working automations in your own agency or airline team
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 travel work

9:00–10:30S1Prompt engineering for travel
10:30Tea break
10:45–12:15S2Itineraries, packages & replies
12:15Lunch & prayer
1:00–2:30S3Travel marketing & short video
2:45–4:30LABBuild lab: package and replies on your own files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Analysis, then the first two builds

9:00–10:30S4Formulas & travel data cleaning
10:30Tea break
10:45–12:15S5Bookings, margins & customer trends
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Travel 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: Booking & refund workflow
10:30Tea break
10:45–12:15S8Project 04: Travel document 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 Travel WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for travel work (itineraries, traveller replies in Bangla, long fare rules, campaign copy)
  • 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 travel consultant, ticketing officer, tour package designer or airline customer service agent
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own travel work
  • Step-by-step reasoning for multi-part tasks such as comparing three routings to Jeddah on fare, layover time and baggage
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a holiday package (destination → flights → hotels → day plan → price → sales post) 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 travel tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: passport scans and numbers, PNRs with passenger names, NID numbers, card and bKash payment details, GDS login credentials, supplier net rates
  • Anonymising data before prompting; safe vs unsafe travel 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 travel tasks.
PART 2Travel 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

Travel Policy & Package Assistant

Sales, reservation and customer service colleagues get answers from your brochures, fare and refund policies and visa checklists, with the section cited.

  1. INBrochures, fare & refund rules
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Booking & Licence Deadline Alert Engine

Ticket time limits, passport expiry, supplier payments and licence renewals checked daily, with alerts 30, 15 and 7 days ahead.

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

Booking Request & Refund Workflow

Requests are checked for missing documents and passport validity, low-margin quotes go to the manager and refunds are routed with the fare rule.

  1. INBooking request form
  2. RULESQuote & refund routing script
  3. OUTApproved quote to the traveller
Built with Apps Script · Forms
04Session 8

Travel Document Extraction Pipeline

E-tickets, hotel vouchers and supplier invoices become clean rows, with name mismatches and invoice differences flagged for review.

  1. INE-tickets, vouchers & invoices
  2. AIGemini structured extraction
  3. OUTMatched rows per traveller
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 Travel

Fairness & Non-Discrimination

  • Where bias enters travel 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 traveller, passport and payment data

Honest Selling & Traveller Protection

  • No hidden charges, fake 'last seats' or misleading package photos
  • Clear refund and cancellation terms before payment, not after

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 travel 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 travel tasks
  • Build packages, itineraries and verified visa checklists with AI
  • Run seasonal travel campaigns with creatives and short video
  • Clean booking data and track package margins in a 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 7-day package with pricing and a traveller reply library
A seasonal campaign kit with ad copy, carousel and reel
An agency dashboard showing which packages truly make money
A grounded travel policy & package assistant your colleagues can use
A booking & licence deadline alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own agency or airline team

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
Travel tools
GDS and airline portal reportsMeta Ads ManagerGoogle MapsLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort and anonymised booking or sales 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 agency 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 agency 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