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D4· Design: UI/UX, product, communication and interior

AI Interior Visualisation & Space Planning

You take a client brief to an AI moodboard, a measured SketchUp model, a convincing render and a costed BOQ, and you can prove the design can actually be built.

Choose a planRead the syllabus
Who it is for
BDes and MDes interior design students who want to use AI moodboards, AI planners and AI-assisted rendering professionally, without losing the drawing, material and costing skills clients pay for.
AI core
9 units · 20 h
This course
6 modules · 12 lessons · 8 h
Live projects
2, on Professional and Career
01Roles it prepares you for
  • Junior Interior Designer
  • 3D Visualiser
  • Experience-centre Designer
  • Site / BOQ Executive

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

02Tools you will use
  • Adobe Firefly (free daily generations)Free tierVerified
  • LookX AIFree tier
  • Coohom (Basic plan)Free tierVerified
  • Planner 5D (free plan; AI tools are paid)Free tierVerified
  • SketchUp (student / college licence)College licenceVerified
  • D5 Render (Community, non-commercial; D5 for Education)Free tierVerified
  • Veras by EvolveLAB (15-day trial; student licence)College licenceVerified
  • Claude (free plan)Free tier
  • Google SheetsFree tier
  • Saarthi sandboxSaarthi 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 Interior Visualisation & Space Planning

01Brief, site and human scale2 lessonsTurn a loose client conversation into a measurable brief and a site plan grounded in ergonomics.
  1. A render starts with a tape measure22 min
  2. Lab: brief and measured site plan for a mall kiosk50 min
02AI moodboards and concept directions2 lessonsGenerate and curate moodboards and material palettes that are inspiring and buildable.
  1. Moodboards that lead somewhere buildable22 min
  2. Lab: three concept directions with material palettes55 min
03Space planning with AI planners2 lessonsPlan layouts, circulation and storage, and use AI planners for quick options you then refine.
  1. Layouts that work for shoppers and staff24 min
  2. Lab: three layouts tested and one developed55 min
04SketchUp modelling for buildability2 lessonsModel with real material thicknesses and joinery logic so the model can become drawings and a BOQ.
  1. Model it the way a carpenter builds it24 min
  2. Lab: a buildable kiosk model and drawing set60 min
05Rendering with D5 and AI2 lessonsProduce honest, convincing renders in D5 Render with AI assistance, and label them correctly.
  1. Renders that sell the truth22 min
  2. Lab: three honest renders of the kiosk60 min
06BOQ, costing and buildability2 lessonsTurn the model into a bill of quantities, estimate cost, and run a buildability check before handing over.
  1. The BOQ is where design meets money25 min
  2. Lab: BOQ and buildability check for the kiosk60 min
04Live projects

Two briefs. Real-shaped work.

  1. Project 1

    D2C experience-store kiosk: AI moodboard to SketchUp to render, with a BOQ

    Design a mall kiosk for a fictional Indian D2C skincare brand. Take it from a structured brief and AI-assisted concept directions to a buildable SketchUp model, honest D5 renders and a costed BOQ, all within the mall's fit-out rules.

    You hand in

    • Two-page brief with sourced ergonomic numbers and fit-out rules
    • Three concept boards with material palettes and a recommendation
    • Layout comparison and dimensioned furniture plan
    • Buildable SketchUp model and a drawing set (plan, four elevations, section)
    • Three labelled D5 renders with raw-versus-enhanced change log
    • BOQ with example rates, buildability checklist and contractor summary

    Data: Saarthi sandbox client pack: synthetic meeting notes, a measured kiosk site plan, an extract of a fictional mall's fit-out guidelines and a synthetic rate card. No real client data.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

  2. Project 2

    Product-shoot set design for a home-décor seller, with a buildability check

    Design a reusable product-photography set for a fictional Indian home-décor D2C seller that shoots cushions, lamps and tableware for marketplace listings and social media. The set must be cheap to build, quick to restyle for three looks, fit a small studio, and be checked for buildability and safety.

    You hand in

    • Brief covering shot list, studio dimensions, budget band and restyling needs
    • Three AI-assisted style directions with sourced material and prop lists
    • SketchUp model of the modular set with camera and light positions
    • D5 renders of the set in all three looks from the main camera position, labelled
    • BOQ with example rates for the set and props
    • Buildability and safety checklist (stability, cable routing, weight, storage, reassembly time) with fixes

    Data: Saarthi sandbox studio pack: a measured plan of a small synthetic studio, a fictional seller's shot list and product dimensions, and a synthetic rate card. No real seller 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: Rakesh, a contractor with twenty years of retail fit-outs in Bengaluru malls, reviewing your kiosk before he quotes. He likes your render, then asks what the counter top is made of, how it gets through the service lift, where the power comes from, and why your BOQ has no line for the fire-rated board the mall requires.

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

06Enrol

Pick a plan for AI Interior Visualisation & Space Planning.

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