Fun by Design: Enhancing Design Creativity through AI

Course Description

COURSE DESCRIPTION This course introduces undergraduate students to the integration of Artificial Intelligence (AI) within architectural design and planning processes. It focuses on developing computational thinking, generative design approaches, and data-driven decision-making while addressing ethical and sustainability concerns in the built environment. ________________________________________ COURSE OUTCOMES CO1:: explain fundamental concepts of AI in architecture and planning CO2:: apply data-driven and performance-based design approaches CO3:: apply AI tools for design ideation and visualisation CO4:: analyze application of AI in conceptual and analytical design processes CO5:: evaluate smart and sustainable design process with implications of AI in design CO6:: develop AI-assisted architectural/planning design solutions

Course Fee Seats Limited

₹1000.00

Course Details

Duration
Duration
30 HRS
Duration
Course Label
SkillDevelopment
Certificate
Certificate
Yes
Course Language
English
Duration
Course Mode
Online
Duration
Timings
6 PM - 7 PM
Days
Monday to Friday
Registration Till
05 Jun 2026
Duration
Tentative ClassStart Date
2nd Week of June
Duration
Eligible Schools:
All Schools
Certificate Criteria
Certificate Criteria
75% attendance, 50% score in all Exams/CA

Curriculum Snapshot

Explore the comprehensive course modules

1 Introduction to AI in the Built Environment

• Role of AI in Architecture and Planning • Case studies of AI-driven built environment projects

2 AI Tools for Conceptual Design

• Generative AI tools (text-to-image, design assist tools) • Prompt engineering strategies • AI for visualization and ideation

3 AI in Design Analytics

• Pre-design analysis • Concepts-driven approaches

4 Generative Parametric Design

• Form generation and optimization • Performance-driven design basics

5 Ethics, Sustainability AI

• Ethical considerations • AI for climate-responsive and sustainable design

6 Introduction to AI in the Built Environment

• Role of AI in Architecture and Planning • Case studies of AI-driven built environment projects

7 AI Tools for Conceptual Design

• Generative AI tools (text-to-image, design assist tools, like ChatGPT, Arena, Claude, grok, Gemini, Canva, Notebook LM, stealth writer) • Prompt engineering strategies • AI for visualization and ideation

8 AI in Design Analytics

• Pre-design analysis • Concepts-driven approaches

9 Generative Parametric Design

• Form generation and optimization (using prompt engineering in the conventional design process) • Performance-driven design basics

10 Ethics, Sustainability AI

• Ethical considerations (Process respecting ethics) • AI for climate-responsive and sustainable design

11 Introduction to AI in the Built Environment

• Role of AI in Architecture and Planning • Case studies of AI-driven built environment projects

12 AI Tools for Conceptual Design

• Generative AI tools (text-to-image, design assist tools, like ChatGPT, Arena, Claude, grok, Gemini, Canva, Notebook LM, stealth writer) • Prompt engineering strategies • AI for visualization and ideation

13 AI in Design Analytics

• Pre-design analysis • Concepts-driven approaches

14 Generative Parametric Design

• Form generation and optimization (using prompt engineering in the conventional design process) • Performance-driven design basics

15 Ethics, Sustainability AI

• Ethical considerations (Process respecting ethics) • AI for climate-responsive and sustainable design

Instructor Spotlight

Learn from leading experts in stem cell research

Himmat Bhatia

Himmat Bhatia

Professor

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