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M2· Media, communication and film

GenAI Video, Film & Photography Production

You learn to plan, generate, shoot and finish short films and product visuals with AI video and image tools, and to know when a real camera is still the better choice.

Choose a planRead the syllabus
Who it is for
MA Photography & Filmmaking and BA Media students who already know framing and editing basics and want to add generative video and image tools to a real production workflow.
AI core
9 units · 20 h
This course
6 modules · 12 lessons · 3.3 h
Live projects
2, on Professional and Career
01Roles it prepares you for
  • Video Editor
  • Motion Designer
  • GenAI Content Creator

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

02Tools you will use
  • Google Veo (via Gemini or Flow)Free tier
  • Runway (free plan credits)Free tier
  • Kling AI (free credits)Free tier
  • Saarthi GenAI video sandbox (metered credits)Saarthi sandbox
  • Adobe Firefly (free credits)Free tier
  • Canva AI (Magic Write, Magic Media)Free tier
  • DaVinci Resolve (free edition)Free tier
  • Sarvam Bulbul v3 text-to-speechFree tierVerified
  • Gemini SynthID verificationFree tierVerified
  • Content Credentials (C2PA) VerifyFree tier

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 · GenAI Video, Film & Photography Production

01The GenAI video landscape2 lessonsWhat text-to-video and image-to-video models do well and badly, why tools change every quarter, and how to choose without chasing hype.
  1. What video models can and cannot do10 min
  2. Run the same shot through three models20 min
02Prompting like a cinematographer2 lessonsUse real film language (shot size, lens, movement, light and continuity) to direct models, and storyboard before you spend credits.
  1. Shot language is the best prompt language10 min
  2. Storyboard to keyframes to motion25 min
03AI product photography, honestly2 lessonsCombine real product photos with generated scenes, follow marketplace image rules, and measure whether AI actually saves time and money.
  1. Real product, generated world9 min
  2. Composite a lifestyle set and log the cost25 min
04Edit, sound and finish2 lessonsAssemble generated and real footage into a finished ad: pacing, AI-assisted editing features, captions, music rights and delivery-ready sound.
  1. Finishing is where amateur AI video gets caught9 min
  2. Finish the snack ad for delivery25 min
05Many languages, one honest film2 lessonsVersion an ad into Indian languages, disclose synthetic media properly, and use provenance tools to prove how your work was made.
  1. Disclosure, provenance and consent for filmmakers10 min
  2. Version the ad into Kannada and Hindi25 min
06Running a GenAI production2 lessonsBudget credits and time, manage versions and approvals, and write a production bible a client can trust.
  1. Budgets, approvals and the production bible9 min
  2. Write a quote and production bible for a client brief20 min
04Live projects

Two briefs. Real-shaped work.

  1. Project 1

    15–30 second product ad in three languages with synthetic-media disclosure

    A D2C brand (synthetic) needs a 15–30 second vertical product ad for Reels and Shorts in English, Kannada and Hindi. Use a hybrid of real product footage or photos and generated scenes, keep the product accurate, and disclose every synthetic element on screen and in the caption in each language. You deliver the ad, its provenance and a short director's note, and defend it live.

    You hand in

    • Beat sheet, style line and approved storyboard
    • Three finished language versions in 9:16, plus a 1:1 cut of the English version
    • SRT caption files for each language, proofread
    • On-screen and caption disclosure in each language
    • Provenance sheet: every shot marked real, generated or hybrid, with tools, prompts and licences
    • Loudness reading for each export and the music licence
    • A 200-word director's note on what you would shoot for real with a bigger budget

    Data: Synthetic Saarthi brand pack: a fictional D2C food or kitchenware brand with a brand note, provable-claims list and rights-cleared product photos. No real seller data.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

  2. Project 2

    Listing videos for 10 SKUs and an AI-versus-real photography comparison

    A marketplace seller (synthetic catalogue) wants short listing videos for 10 products and wants to know whether AI product photography is worth it. Produce the 10 videos from a repeatable template, then shoot and generate a matched set of product images and compare them honestly with a time and cost log.

    You hand in

    • A reusable listing-video template (structure, timing, text style, music) and a one-page spec
    • Ten listing videos of 10–20 seconds, accurate to each product, with captions
    • A matched comparison for 3 SKUs: real photos versus real-product-in-generated-scene images, side by side
    • A time and cost log for both methods, kept as you worked, with credits counted
    • A one-page recommendation: when the seller should use AI imagery and when a real shoot
    • A disclosure note for any image or video with a synthetic scene

    Data: Synthetic marketplace catalogue for a fictional home-and-kitchen seller: 10 SKUs with specs, rights-cleared reference photos and sample listing text. Students may also photograph similar everyday products they own.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

05Practise out loud

In voice mock interviews and client calls, Saarthi plays: Arjun, marketing lead at a fictional Bengaluru kitchenware brand. He has seen viral AI ads and wants one by Friday, in three languages, on a small budget. He asks practical questions about cost, turnaround and rights, and he tests whether you will tell him when AI is the wrong tool.

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

06Enrol

Pick a plan for GenAI Video, Film & Photography Production.

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