Designer sketching a floor plan by hand, representing the ASDAV AI for Interior Designers masterclass

ASDAV launches AI masterclass for interior designers, from prompts to photorealistic renders

ASDAV has launched AI for Interior Designers, a live online masterclass that teaches interior designers how to use AI across a real project workflow, from writing structured prompts to generating photorealistic room renders and drafting FF&E schedules.

The two-hour session runs through five working modules with live demonstrations and Q&A, and it is led by Ar. Jasmine Ahluwalia. The session date is currently to be announced, with enrolled participants receiving the confirmed schedule by email and WhatsApp.

The notable thing about this launch is what it is not. It is not a generic AI tool tour. Every module is mapped to an interior design task, including turning an AutoCAD floor plan into a styled 3D render without SketchUp or manual modelling, and producing finish, lighting and time-of-day variations of the same room in minutes. That specificity says something about where AI training for designers is heading, away from curiosity and toward craft.

About ASDAV

ASDAV Homepage

ASDAV or Asian School of Design & Applied Vastu is a practical training institute founded by Jasmine Ahluwalia, offering courses across architecture, interior design and Vastu. It teaches professional design software and workflows, including AutoCAD, SketchUp, V-Ray, Lumion, Revit, Photoshop and 3ds Max.

The institute is rated 4.9 out of 5 on Google and counts more than 750 learners across India, the UK, the UAE, the USA, France and other countries. Its instructors are practising architects and designers rather than full-time trainers.

The team includes Ar. Vijay P., a BIM specialist with over 13 years of industry experience, Ar. Anuj K., a practising interior designer, Ar. Hitesh K., an NID graduate working in furniture and material-driven design, and Ar. Jasmine Ahluwalia, an architect and global Vastu consultant with over eight years of experience, who leads this masterclass.

About the AI For Interior Design Masterclass

The session runs for two hours with five focused modules, live demonstrations, a short break and a dedicated Q&A at the end. No prior AI experience is required. A laptop or desktop with a stable internet connection is recommended, and no SketchUp or 3D modelling background is needed for the floor-plan-to-render demonstration.

The five modules cover:

  • Prompting. Six-element framework built around subject, style, materials, lighting, camera and quality, applied across ChatGPT, Claude, Gemini and Midjourney.
  • AI text tools for design work. Concept narratives, FF&E schedules, finish schedules, procurement questions and specifications.
  • AI render generation. Room visuals, lighting moods, time-of-day options and finish swaps.
  • Floor plan to render. CAD preparation through ArchiVinci to furniture layouts and finish schedules, with no manual 3D modelling needed.
  • Your AI system. Organise a personal prompt library and leave with a practical action plan for the same evening, the following week and the next month.

Participants take home a printable prompt-framework reference card, five ready-to-use prompt templates, a 25-prompt starter kit, a tool setup guide and access to an ASDAV WhatsApp community, along with a certificate of participation.

Enrolment also includes a preview of the 10-day AI Visualization Full Course and a discount toward it. Studios booking three or more seats can ask about team pricing over WhatsApp.

How AI is changing interior design

The masterclass exists because the profession is shifting quickly. The numbers, the tools and the anxieties behind them are worth understanding whether or not you attend.

The market is growing too fast to ignore

Market research firm The Business Research Company puts the AI interior design market at $1.39 billion in 2025, growing to $1.76 billion in 2026 at a compound annual rate of 27.1 percent, and reaching $4.55 billion by 2030. Generative design software holds the largest share, and residential work leads commercial.

The takeaway for practising designers is simple. This is no longer an experimentation budget. Clients, studios and software vendors are all spending real money here, which means AI fluency is becoming a hiring and winning-work criterion, not a nice extra.

Designers are adopting AI and fearing it at the same time

Mattoboard’s State of AI and Interior Design report captures the contradiction. About 82 percent of interior designers now use AI regularly, and 70 percent say it can boost creativity. Yet 54 percent worry it will diminish originality, 42 percent flag ethical concerns like plagiarism and bias, and 39 percent fear a loss of creativity.

The job fear is broader than interiors. A survey by DIGIT Lab found 70 percent of creatives are concerned about AI-driven job losses, while noting that large language models can sometimes reach the level of a novice designer but remain far behind experts at true creativity, the ability to make unexpected connections.

New tools are splitting into two camps

The AI toolkit for designers now divides roughly into style-transfer tools and layout tools. Style-transfer tools take a room photo and restyle it. RoomGPT generates fast style variations from an uploaded photo, REimagineHome handles instant room transformations and virtual staging, and Spacely AI offers finer control over lighting, textures and layouts.

Layout tools work with plans and dimensions. Planner 5D combines AI floor plan recognition with 2D and 3D planning, Foyr Neo adds AI-based recommendations with VR and AR output, and Homestyler pairs AI suggestions with AR furniture visualization. A roundup of the leading tools shows how crowded this space has become.

The practical move is to learn one tool from each camp deeply rather than collecting ten logins. A designer who can restyle a room photo in minutes and also generate an AI-assisted layout covers the two moments clients ask about most, what could this look like, and will it fit.

Speed is resetting client expectations

Once clients experience four render variations in a single meeting, the old rhythm of one option next week starts to feel slow. The Mattoboard data backs this up, with 57 percent of designers citing speed and efficiency as AI’s biggest advantage, far ahead of creativity and ideation at 21 percent.

Designers do not need to show everything AI can generate, but they do need the ability to show range quickly when a client asks what else is possible. The designers winning work right now are the ones who turned faster iteration into a client-facing advantage instead of just a back-office saving.

The difference practical training makes

What sets ASDAV apart is its insistence on practical training over theory. This masterclass is a live working session, not a recorded video course.

Every module is taught through real interior design tasks, from client brief to room render, and participants leave with a working prompt library rather than just notes. That philosophy runs through the institute’s wider offering, from its 12-week residential and commercial design programs to its weekly two-hour masterclasses on focused topics.

The instructors are practising architects and designers who bring ongoing client work into the classroom, and students take on hands-on projects with real clients alongside guided portfolio development and critique sessions. It is a model built on a simple belief. Designers learn by doing real work, and AI is no exception. A designer who has generated renders, drafted schedules and built a prompt library inside a live session walks out with a workflow, not just awareness.

Leave a Comment

Professor Derpy's Notes

I haven’t reviewed this story yet. Please check back later while I finish my highly scientific process of reading the headline three more times.

Join our newsletter

email subscription

Receive Latest AI Insights To Your Inbox