[NP-GAISD-F] Gen AI in Spatial Design

Offered by School of Design & Environment

Certifiable Courses

About Course
Course Schedule
Course Structure
Financial Matters

About Course

Course Objectives

This module delves into the transformative role of artificial intelligence (AI) in spatial design, offering an in-depth exploration of how AI tools and techniques can revolutionize the design process. Learners will explore the various AI technologies applicable to spatial design, understanding their capabilities and implications. The course emphasizes how AI can enhance design efficiency, foster innovation, and solve complex design challenges. Through practical applications and analysis of real-world case studies, students will learn to integrate AI effectively into their design workflows, gaining valuable skills to leverage AI for improved design outcomes and cutting-edge solutions in spatial design.

Course Description

Objectives:
1. Gain a foundational understanding of artificial intelligence (AI) and its core principles.
2.Examine AI techniques used in designing spatial environments while learning about the different types of AI technologies relevant to spatial design.
3. Develop skills to effectively integrate AI technology into design projects.
4. Understand best practices for leveraging AI to enhance design outcomes.

Outcomes:
1. Demonstrate a clear understanding of key AI concepts and technologies relevant to spatial design.
2. Apply AI tools and techniques to create and refine spatial design projects.
3. Produce design solutions that integrate AI effectively, showcasing the ability to blend technology with creativity.
4. Identify and articulate the benefits and challenges associated with AI applications in spatial design.

Assessment
  1. Group projects analysing AI applications in spatial design
  2. Practical assignments using AI tools to conceptualise a space

Trainers

Veronica Yew
Programme Leader (CET)
Nanyang Academy of Fine Arts

Veronica’s design expertise, built over decades of practice, focuses on creating refined living environments with strong design elements. Her portfolio spans hospitality and private residential projects, both locally and internationally.
Passionate about aesthetics and creative expression, Veronica places human needs at the core of her work. She is dedicated to uncovering and developing her students' potential, believing that knowledge is valuable when shared. Her teaching approach fosters critical thinking, a solid foundation of concepts, and skills for continued learning, preparing students for future academic and professional challenges. Veronica also plays a key role in curriculum development, aligning it with industry standards to nurture the next generation of designers.


Benjamin Xue
Senior Manager of Design
Ngee Ann Polytechnic, School of Design and Environment


Benjamin is a Creative Technologist. His expertise lies in the intersection between Design and Technology. His portfolio includes electronic products, interaction design, and digital products.
Benjamin is a tech enthusiast with a passion for innovation. He is always eager to learn and explore new technologies. With his extensive experience in product design and architecture, he brings a unique and fresh perspective to these domains. Let’s build something amazing together!

Course 
Schedule

  1. Registration Period 24 Apr 2025 - 02 Jun 2025
  2. Course Date 23 Jun 2025 - 28 Jun 2025
  3. Venue NGEE ANN POLYTECHNIC
  4. Mode of Training Classroom
  5. Schedule Info Duration: 6 days
    Time: 9am –   6pm
    Mode of Delivery: Classroom
    Venue: Ngee Ann Polytechnic

    Schedule may subject to changes. Detailed timetable will only be release upon enrolment and nearer to course commencement date.
Duration:  48 hours
Delivery Mode: Classroom
Venue: Ngee Ann Polytechnic

Schedule may subject to changes. Detailed timetable will only be released upon enrolment and nearer to course commencement date.

Course Structure

TPG course reference No.

TGS-2025052804

Gen AI in Spatial Design
Gen AI in Spatial Design (NP-GAISD-F)

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Gen AI in Spatial Design Total course fee
Full Course fee $3,052.00 $3,052.00
Enhanced Training Support for SMEs for Singapore Citizen $355.60 $355.60
Enhanced Training Support for SMEs - SPR & LTVP+ $355.60 $355.60
SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above $355.60 $355.60
SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 $915.60 $915.60
SkillsFuture Baseline Funding for SPR/LTVP+ $915.60 $915.60

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The payment needs to be made upon the application is submitted.

Allowed payment by

The course fee allows to be paid by:
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.