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B1· Business, management and commerce

AI for Marketing & D2C Growth

You will plan, write, design and measure marketing for a real Indian D2C brand with AI doing the heavy lifting, and you will be able to prove every number you report.

Choose a planRead the syllabus
Who it is for
BBA, BCom and MBA students who want to work in digital, performance or content marketing, and media students who want to sell what they make.
AI core
9 units · 20 h
This course
6 modules · 12 lessons · 3.9 h
Live projects
2, on Professional and Career
01Roles it prepares you for
  • Digital marketing executive
  • Performance marketing executive
  • Content and SEO executive
  • Growth associate (D2C or marketplace brand)

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

02Tools you will use
  • Claude (free plan)Free tier
  • ChatGPT (free plan)Free tier
  • Gemini (free plan)Free tier
  • Canva (free plan, Canva AI features)Free tier
  • HeyGen (free plan)Free tier
  • Meta Ads Manager (Advantage+ campaigns, no spend needed to explore)Free tier
  • Google Ads (Performance Max, no spend needed to explore)Free tier
  • Perplexity (free plan)Free tier
  • Google SheetsFree tier
  • n8n (Saarthi-hosted sandbox)Saarthi sandbox
  • Saarthi anonymised seller data packSaarthi 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 Marketing & D2C Growth

01Growth maths and your brand brief2 lessonsThe handful of numbers that decide whether marketing makes money, and a reusable brand brief that keeps every AI draft on-voice.
  1. The five numbers behind every D2C brand10 min
  2. Build a brand brief your AI tools can reuse25 min
02Listings that convert2 lessonsHow marketplace listings are read by shoppers and by search, how to mine reviews for what buyers really care about, and how to rewrite with a testable hypothesis.
  1. Anatomy of a marketplace listing10 min
  2. Review mining to a listing rewrite25 min
03Creative at scale, honestly2 lessonsUsing Canva AI, image and video tools to make many ad variations quickly, organised as a test rather than a pile, with the disclosure and consent rules that apply in India.
  1. A creative testing matrix, not a pile of ads10 min
  2. Make a six-cell creative set in Canva30 min
04Performance ads when the algorithm drives2 lessonsWhat Meta Advantage+, Google Performance Max and Amazon Sponsored Ads automate, which levers stay yours, and how to read a search-term report.
  1. What the machine controls and what you still control12 min
  2. Triage a search-term report30 min
05The Indian festive calendar and content operations2 lessonsPlanning campaigns backwards from India's sale events and stock deadlines, and running an always-on content calendar with AI without losing accuracy.
  1. Plan backwards from the sale10 min
  2. Build a verified festive campaign calendar25 min
06Measure honestly and automate the report2 lessonsWhy platform-reported results overstate impact, how to measure what marketing really added, and an n8n workflow that writes the weekly report for a human to approve.
  1. Attribution, incrementality and UTMs10 min
  2. An n8n weekly report with a human approval step35 min
04Live projects

Two briefs. Real-shaped work.

  1. Project 1

    Listing and A+ content rewrite for 20 SKUs

    A fictional ethnic-wear brand in the data pack sells 20 SKUs on Amazon.in. Its listings were written in a hurry and its reviews show recurring objections. Rewrite title, bullets, backend search terms and an A+ content outline for all 20, grounded in review mining and the brand's verified facts. For each SKU, state a before/after hypothesis you could test. You may use any AI assistant; you must show your prompts and every correction you made to the AI.

    You hand in

    • A brand brief (one page) and the assistant setup you used (Project, custom GPT, Gem or pasted brief)
    • Review-mining summary per SKU with theme counts, verbatim quotes and a hand-checked sample
    • Before/after table for 20 SKUs: title, 5 bullets, backend terms, A+ module outline
    • One hypothesis per SKU (change, because, expected effect, how you will know) and a measurement plan
    • Claims-and-proof list and a compliance check (category style rules, mandatory declarations, no unproven superlatives)
    • Prompt log with every AI correction you made

    Data: Saarthi anonymised seller data pack, frozen version: seller S-014 (Neelkanth Looms, a fictional brand), a synthetic apparel-only seller on Amazon.in and Flipkart with hashed order ids, invented SKUs and no buyer names, phones or addresses. This project uses the brand sheet, 20 current listings and about 200 anonymised reviews, roughly 25 per style (the three best sellers carry most of them).. Reviewed by Saarthi against a published rubric, signed off by a mentor.

  2. Project 2

    Search-term report to a negative-keyword and bid plan, plus a festive campaign calendar

    The same brand's Sponsored Products campaigns are leaking spend. Using its anonymised 60-day search-term report and unit economics, build a negative-keyword list, a harvest-and-bid plan and a 12-week festive campaign calendar that never breaks break-even ACoS and never needs more stock than the brand has. Defend your thresholds in a live session with Saarthi playing the founder.

    You hand in

    • Unit-economics sheet with break-even ACoS per SKU, showing GST, fees and expected returns
    • Aggregated search-term analysis with spend reconciled to the raw report
    • Negative exact and negative phrase lists, harvest list with starting bids, and the written rules used
    • 12-week festive calendar with verified event dates (source and checked-on date), owners, budgets and ACoS ceilings
    • Stock-versus-spend check and three failure points with fallbacks
    • A one-page founder memo and a 5-minute live defence

    Data: Saarthi anonymised seller data pack, frozen version: seller S-014 (Neelkanth Looms, a fictional brand), a synthetic apparel-only seller on Amazon.in and Flipkart with hashed order ids, invented SKUs and no buyer names, phones or addresses. This project uses a 60-day Sponsored Products search-term report, SKU unit costs, stock and supplier lead times.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

05Practise out loud

In voice mock interviews and client calls, Saarthi plays: Riya Sharma (fictional), founder of a Jaipur block-print kurta brand selling on Amazon.in, Flipkart and her own store. She has a festive budget, thin margins and little patience for vanity metrics. She asks what you would change on her listings, how you would stop ad spend leaking, and how she would know your plan worked.

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

06Enrol

Pick a plan for AI for Marketing & D2C Growth.

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