Skip to content
Launchpad
Enrol

H4· Hospitality and tourism

AI for Travel, Airlines & Tourism

You will design travel products where every fact is checked, and write the messages passengers need when a flight goes wrong, calmly and correctly.

Choose a planRead the syllabus
Who it is for
Airlines, Tourism and Hospitality students who want to plan trips people trust and handle the bad days in travel without guessing.
AI core
9 units · 20 h
This course
6 modules · 12 lessons · 2.3 h
Live projects
2, on Professional and Career
01Roles it prepares you for
  • Travel Consultant
  • Tour Product Executive
  • Ground Operations Trainee
  • Customer Service Executive (travel)

The skills these roles ask for. Preparation, not a promise of a job.

02Tools you will use
  • Perplexity (free)Free tier
  • Deep-research modes in Gemini, ChatGPT or ClaudeFree tier
  • Claude (free plan)Free tier
  • Google MapsFree tier
  • Google SheetsFree tier
  • Saarthi coachSaarthi sandbox

You never pay for a tool subscription. “Verified” means we checked the free access on the vendor’s own site this month. Tool names describe what you learn; no vendor endorses Launchpad.

03Syllabus

What you will learn, in order.

Lesson films are narrated with an AI voice, over visuals made with AI tools and checked by our team. Saarthi, the coach, is an AI. Mentors and reviewers are people.

Part 1 · The AI core, shared by every stream

00Set up your coach1 hLearn how the core works, write the learning-context document that tells every AI tool who you are, and set Saarthi up as a coach that makes you think instead of thinking for you.
  1. How this core works6 min
  2. Write your learning-context document8 min
  3. Seven roles for AI, and study modes7 min
01How LLMs work and fail2.5 hBuild a working mental model of a large language model: tokens, prediction, context windows and memory. Then learn its predictable failures (hallucination, sycophancy, stale knowledge, bad arithmetic) and reproduce them yourself.
  1. Tokens and next-word prediction7 min
  2. Context windows and memory7 min
  3. Hallucination, sycophancy and other failures8 min
  4. Lab: one prompt, three models, five failures8 min
02Description and context engineering3.5 hWrite briefs that get the right output the first time: role, task, context, examples and format. Then make them reusable with Claude and ChatGPT Projects, Gemini Gems, custom GPTs and NotebookLM, and learn to work with PDFs, spreadsheets and images.
  1. The brief: role, task, context, format8 min
  2. Examples and output formats7 min
  3. Projects in Claude and ChatGPT8 min
  4. Gems, custom GPTs and NotebookLM8 min
  5. Working with files: PDFs, spreadsheets, images8 min
03Verify everything2.5 hCheck AI output the way fact-checkers do: lateral reading, tracing citations and numbers to the original, using deep-research modes without trusting them blindly, and testing a prompt properly with a 10-case golden set.
  1. Lateral reading7 min
  2. Checking citations and numbers8 min
  3. Deep-research modes: use and limits7 min
  4. Your first eval: a 10-case golden set8 min
04Connectors and MCP2 hConnect AI to the places your work lives (Drive, Gmail, Sheets, business data) without writing code. Learn what an MCP server is, why a reviewed directory differs from unreviewed community servers, how to grant the least access that works, and how to keep browser extensions on a short leash.
  1. What connectors and MCP are8 min
  2. Trust, least privilege and the reviewed directory8 min
  3. Browser extensions and AI browsers7 min
  4. Lab: ask the seller-data MCP server, check every answer8 min
05Agents and automations3.5 hHand multi-step work to AI safely. Tell an agent from an automation, decide what to delegate, use browser and coding agents with care, and build an n8n workflow that uses AI with a human-approval step before anything leaves the system.
  1. Agents vs automations: what to delegate8 min
  2. Browser agents, safely7 min
  3. Automation basics with n8n and Zapier8 min
  4. Lab: build an automation with a human-approval step8 min
  5. Failure modes and your failure-mode note7 min
06AI for learning and careers1.5 hUse AI to learn faster without outsourcing the learning, write applications that still sound like you, and practise interviews out loud with Saarthi.
  1. Learning with AI, not instead of learning7 min
  2. Applications in your own voice7 min
  3. Mock interview with Saarthi8 min
07Diligence: law, ethics, integrity2.5 hThe rules that apply when you use AI in India: the DPDP Act 2023 and its 2025 Rules, academic integrity and disclosure, copyright (including where Indian law is still unsettled), and bias. You finish by writing your own AI-use policy.
  1. DPDP Act 2023: personal data and AI8 min
  2. Academic integrity and disclosure7 min
  3. Copyright and AI in India8 min
  4. Bias and fairness7 min
  5. Write your personal AI-use policy7 min
08Core capstone1 hPut all four Ds together on one anonymised marketplace settlement file: ask good questions, automate one step, verify every number against Saarthi's P&L engine, and defend your work live in five minutes.
  1. The capstone brief6 min
  2. Lab: ask, automate, verify8 min
  3. Prepare your 5-minute defence7 min

Part 2 · AI for Travel, Airlines & Tourism

01Research you can sell2 lessonsUse deep-research tools for travel, and verify every fact before it goes into a customer's plan.
  1. Deep research for travel: verify before you sell9 min
  2. Fact-check a coastal Karnataka destination sheet14 min
02Designing itinerary products2 lessonsTurn verified facts into an itinerary people enjoy: pacing, logistics, seasons, accessibility and responsible tourism.
  1. What makes an itinerary a product9 min
  2. Build a three-day coastal itinerary from your fact log15 min
03Itinerary agents and their limits2 lessonsWhat AI agents can do in travel planning and booking, where they break, and how to keep a human in charge.
  1. What an itinerary agent can and cannot do8 min
  2. Run a research agent with a verification log14 min
04How disruption unfolds2 lessonsDelays, cancellations and diversions from the ground side: who knows what, when, and what passengers are owed.
  1. Anatomy of a flight disruption9 min
  2. Map a disruption timeline and its messages14 min
05Disruption communication templates and escalation2 lessonsWrite a reusable template set for delays, cancellations and diversions, with rules for when a human must take over.
  1. Writing for bad days: templates and escalation rules9 min
  2. Build a disruption template set and test it15 min
06The consultant conversation2 lessonsNeeds discovery, honest recommendations and quotes, and handling a client call with AI as your preparation partner.
  1. Needs discovery and honest selling8 min
  2. Mock client call, follow-up and quote15 min
04Live projects

Two briefs. Real-shaped work.

  1. Project 1

    Coastal-Karnataka itinerary product with every fact verified

    Design a sellable four-day coastal Karnataka itinerary product (for example Mangaluru–Udupi–Kundapura–Murudeshwar) for a defined traveller persona, with a monsoon variant. Every fact in the client document must trace to a dated entry in a fact log at verification level 1 to 3, or be shown as 'to be confirmed'. Include an agent research run with a verification score, an example costing with dated prices, and accessibility notes for every stop.

    You hand in

    • Traveller persona and product summary (route, inclusions, season variants)
    • Fact log with source, level, date checked and checker for every fact
    • Day sheets for both seasons with times, buffers, mobility notes, food, rain plans and fact IDs
    • Agent research run with its verification log and fully supported share
    • Dated example cost table and a client-ready document
    • A 5-minute live defence where Saarthi challenges three facts at random

    Data: Public sources the student finds and verifies, plus the Saarthi sandbox persona and AI-drafted destination sheet. No real client data.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

  2. Project 2

    Disruption-communication templates and escalation rules

    A synthetic regional airline flying from Mangaluru wants a disruption communication kit. Build templates for delays, cancellations, diversions and missed connections across SMS, app, gate and travel-agent channels in English, Kannada and Hindi; escalation rules for vulnerable passengers and sensitive cases; and a slot-filling prompt that never invents a reason or entitlement. Test the kit on synthetic ops updates including traps, and run a live disruption drill.

    You hand in

    • At least eight templates with slots, rules, approved-reason list and channel
    • Escalation sheet with at least eight triggers, owners, response targets and first actions
    • Translation log with back-translations and native-speaker checks
    • Slot-filling prompt and test results on at least ten synthetic ops updates including traps
    • Entitlement note citing the current DGCA requirement sections relied on, with open questions
    • Two-page playbook and a live drill with Saarthi as a disrupted passenger

    Data: Synthetic ops logs, ops updates and passenger messages for a fictional airline from the Saarthi sandbox. No real airline or passenger data.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

05Practise out loud

In voice mock interviews and client calls, Saarthi plays: Meera Iyer, a Bengaluru software lead planning a four-day coastal Karnataka trip in late May for her parents (both in their late sixties, one with a knee problem) and her nine-year-old. She has read three AI-made itineraries that disagree with each other and wants a consultant who can tell her which facts are true. Later in the call she plays a passenger whose return flight has just been cancelled.

On plans that include mock interviews. You get written feedback after every call.

06Enrol

Pick a plan for AI for Travel, Airlines & Tourism.

One payment. The access deadline for each plan is shown before you pay.

  • Foundation

    01

    Learn the AI your field now runs on.

    ₹2,999

    One payment. GST included.

    • Access for 120 days (about 4 months) from the day you pay
    • No 1:1 mentor sessions
    • The common AI core and your domain course
    • Saarthi, your AI coach, any hour
    • Hands-on labs on free tools
    • Verifiable certificate
    Enrol on Foundation

  • Professional

    02

    Prove it on real work.

    ₹7,999

    One payment. GST included.

    • Access for 180 days (about 6 months) from the day you pay
    • One 1:1 session with a mentor
    • Everything in Foundation
    • Two live projects, reviewed by Saarthi and a mentor
    • Public portfolio page of verified work
    • Voice mock interviews
    • One 1:1 coaching session
    Enrol on Professional

  • Career

    03

    Work alongside our team.

    ₹14,999

    One payment. GST included.

    • Access for 240 days (about 8 months) from the day you pay
    • Four 1:1 sessions with a mentor
    • One 1:1 call with an industry expert
    • Everything in Professional
    • Four-week supervised practicum with the Saarthi team
    • Four 1:1 coaching sessions with your mentor
    • An exclusive 1:1 call with an industry expert in your field
    • CV and LinkedIn review
    • Priority mentor replies
    Enrol on Career

Your access period starts the day you pay and is shown before you pay. One exam pause per enrolment, for up to 15 days. When access ends the course locks, and your portfolio page and certificate stay live. Full refund within 7 days, pro-rata after that, and an automatic refund for any practicum, 1:1 mentor or expert session we do not deliver. Refund policy