Introduction
Course Outline
*Participants are required to bring a laptop to fully participate in all lessons.
Exciting Tours & Learning Journey
- Introduction to AI and its Impact
Introduce students to AI, its basic concepts, and its potential impact on society - Welcome & Overview: Brief on program goals and schedule.
- Introductory Lecture on AI: Cover the basics of AI, including machine learning, deep learning, and data science. Explain terms and give real-world examples (e.g., recommendation engines, language processing).
- Discussion on AI in Society: Explore AI’s impact on various fields—medicine, entertainment, environmental science, education, self-learning, etc. Small groups discuss how they’ve seen AI in their daily lives.
- Activity: Students interact with online AI demos (like Google’s Teachable Machine) and share their experiences.
- Data-Analytic Thinking
Equip student with the essential skills in data handling and analysis, enabling them to effectively manage, explore, and present data for their AI projects. - The Data Pipeline: Understanding types of data, data acquisition, and preparation.
- Data Exploration: Basic concepts in statistics and exploratory data analysis (EDA) using case studies.
- Data Presentation: Techniques for data visualization and statistical analysis.
- AI Technologies
Understand Artificial Neural Networks (ANN) and Backpropagation, Multi-layer Perception, Deep Learning, and Various Architectures.- Lecture on Neural Networks: Introduction to ANN and backpropagation.
- Deep Learning Architectures: Overview of CNN, RNN, and Transformer architectures.
- Hands-On Activity: Implementing a simple neural network using TensorFlow.
- Applications of AI in Different Fields
Explore the applications of AI across various fields and inspire project ideas.- Lecture on AI Applications: Overview of how AI is used in fields like healthcare, finance, sports, and education.
- Field-Specific Breakout Sessions: Students choose one field of interest (e.g., healthcare, environment, or entertainment) and join a mini-workshop on AI's role in that field.
- Case Study Discussion: In groups, students discuss a notable AI application in their chosen field, exploring its development and impact.
- Project Brainstorming: Students are guided through brainstorming for a small AI project. Teams form and settle on project ideas (e.g., a chatbot, simple prediction model).
- Project Development and Presentation
Complete project work and showcase it to peers.- Project Work Session: Students work in teams to develop their projects. The instructor will offer guidance, helping students to troubleshoot and implement their ideas.
- Student Presentations: Each team presents their project to the group, explaining the inspiration, process, and potential impact of their project.
- Reflection and Closing Discussion: Students discuss their learning takeaways, challenges, and excitement about AI.
*Participants are required to bring a laptop to fully participate in all lessons.
Exciting Tours & Learning Journey
- NTU Campus Tour - Explore NTU’s vibrant campus with our student ambassadors and experience a glimpse of university life.
- Sharing by NTU Office of Admissions - A valuable opportunity to learn more about NTU’s undergraduate programmes and admissions criteria.
- Innovation Learning Journey - Visit NTU's state-of-the-art facilities where ideas and research come to life through prototypes and early experimentation.
- Industrial Learning Journey - Gain insights into how technology is explored and applied in real-world settings through a visit to an industrial firm.
- Singapore City Highlights - Enjoy a free and easy experience exploring some of Singapore’s popular attractions and discovering Singapore’s distinctive cityscape.
Course Availability
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Date(s): 16 to 22 Dec 2026
Venue: Nanyang Technological University
Registration Closing Date: 16 Nov 2026
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Date(s): 25 to 29 Jan 2027
Venue: Nanyang Technological University
Registration Closing Date: 04 Dec 2026
Discover the Future of AI at NTU Singapore
Step into the world of artificial intelligence (AI) at Nanyang Technological University (NTU Singapore), one of Asia’s leading universities for AI, Data and Computer Science.
Each run of the 5-day AI summer programme led by an NTU Singapore professor introduces participants to modern AI, helping them understand key concepts and explore how AI can be applied in learning and work. Participants will collaborate in teams on a Group Presentation Challenge to analyse real‑world AI applications and present their insights.
This exciting programme also includes exclusive visits to NTU Singapore’s state-of-the-art research labs and an industry site, and incorporates an admission talk, which provides insights into real-world innovation and university pathways. Beyond the classroom, participants will explore Singapore’s cultural landmarks, including Gardens by the Bay and Chinatown, and discover the city’s vibrant culture.
Take your AI capabilities to the next level — learn directly from an NTU Singapore Professor. With three runs available, you can choose the programme that best aligns with your schedule and availability.
| Runs | Dates | Registration Deadline |
| December 2026 | 16 to 22 December 2026 | 9 November 2026 |
| January 2027 | 25 to 29 January 2027 | 30 November 2026 |
| August 2027 | 2 to 6 August 2027 | (Registration opens on 4 January 2027) |
High School / Junior College / Pre-University Students
Students aged 15 and above with a good command of English and an interest in artificial intelligence, innovation, and technology. Ideal for curious learners eager to explore how AI connects to real-world challenges and future opportunities.
Students aged 15 and above with a good command of English and an interest in artificial intelligence, innovation, and technology. Ideal for curious learners eager to explore how AI connects to real-world challenges and future opportunities.
Assoc Prof Kwoh Chee Keong
Dr. Kwoh Chee Keong is currently in the College of Computing & Data Science since 1993. He received his Bachelor degree in Electrical Engineering (1st Class) and Master in Industrial System Engineering from the National University of Singapore in 1987 and 1991 respectively. He received his Ph.D. degrees from the Imperial College, University of London in 1995. His research interests include Data Mining and Soft Computing and Graph-Based inference; applications areas include Bioinformatics and Biomedical Engineering. He has done significant research work in his research areas and published over 90 quality international conferences and over 30 journal papers. He has been often invited as a organizing member or referee and reviewer for a number of premier conferences and journals, including GIW, IEEE BIBM, RECOMB, PRIB etc. Dr. Kwoh is a member of The Institution of Engineers Singapore, Association for Medical and Bio-Informatics, Imperial College Alumni Association of Singapore (ICAAS). He has provided many service to professional bodies and was conferred the Public Service Medal, the President of Singapore in 2008.
