Course Schedule
23 to 28 June 2025 - CLOSED
Duration: 48 hours
Delivery Mode: Classroom
Venue:
Nanyang Academy of Fine Arts
Campus 1
80 Bencoolen Street
Singapore 189655
Schedule may be subject to changes. The detailed timetable will only be released upon enrolment and closer to the course commencement date.
For self-sponsored applicant, you may proceed to apply after signing in with Singpass / Student ID.
For company-sponsored applicant, please approach your company HR to put in the application via the company portal using Corppass at STEP.
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.The Gen AI in Spatial Design course is jointly offered by NP’s School of Design & Environment (DE) and Nanyang Academy of Fine Arts University of the Arts Singapore. This collaboration brings together DE's strengths in spatial technologies and NAFA's creative design expertise, offering participants a unique, interdisciplinary learning experience. As a valued collaborator, NAFA co-develops and supports the course to equip learners with cutting-edge AI design skills tailored for the built environment.
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
- Group projects analysing AI applications in spatial design
- Practical assignments using AI tools to conceptualise a space
Trainers
Veronica YewProgramme 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!
Terms & conditions
Terms & conditions details
Disclaimer
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Course Structure
TPG course reference No.
TGS-2025052804
A Certificate of Attendance will be awarded to learner who meet the 75% attendance requirement.
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
Payment option
Allowed payment 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.
Remarks
(i) Course fees payable;
(ii) Assessment fees which are part of the course;
(iii) Certification fees which are part of the course; and
(iv) GST imposed on components supported for SFC use.
Penalty charges apply if you:
(i) are absent/no-show;
(ii) withdraw from a course within 14 days of the course start date;
(iii) fail to meet terms and conditions for funding eligibility.
SFC cannot be used to offset penalty charges imposed by Ngee Ann Polytechnic.