COURSE OBJECTIVES
Artificial Intelligence (AI) is no longer the technology of tomorrow—it is rapidly transforming the world we live in today, including how we diagnose diseases, deliver treatments, and design healthcare systems. From medical imaging to personalised medicine, AI is reshaping the future of public health in ways that are both exciting and complex. Understanding how these technologies work, and their impact on society, is essential for the next generation of changemakers.
This programme is specially curated for pre-university and high schoolstudents in Grades 10-12, to provide comprehensive introduction to the principles and practices of Artificial Intelligence (AI) and Generative AI (GenAI). More than just learning about the technology, participants will explore how digital innovation intersects with ethics, medical practice, and social responsibility. Throughout the course, participants will examine topics such as machine learning, neural networks, and large language models through interactive lessons and real-life case studies. The course also includes opportunities for students to work in teams to discuss and present innovative ideas for using AI in healthcare. It comprises five 3-hour sessions, combining faculty-led seminars, collaborative learning, and a final group project to showcase creative thinking and application.
At the end of the course, the participants will:
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Describe key concepts and technologies in Artificial Intelligence and Generative AI, including how neural networks, large language models, and generative models operate.
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Apply AI tools and techniques to identify opportunities to explore innovative solution to solve health-care problems.
Who Should Attend
Pre-University and high school students in Grade 10 - 12, with an interest in exploring AI and its applications. The course is not restricted to STEM students, as the material will cover the basics of AI/Machine Learning through advanced applications.
Pre-Requisites
Participants are expected to be able to read, write and communicate in English, as the programme will be conducted in English.
There are no subject-matter-specific prerequisites to attend this programme. The minimum age requirement is 15 years old, at the start of the programme.
Programme Schedule
For individuals interested in NUS SCALE Youth programmes, please click here to enquire.
For schools/companies interested in customised and/or group bookings, please click here.
Mode of Delivery
On campus.
Five 3-hour in-classroom training sessions.
Mode of Assessment
Frequently Asked Questions
Q: Does student need to learn programming on their own before the programme?
A: No prior coding knowledge is required.
Q: What’s the estimated amount of self-study/preparation time outside the classroom?
A: Around 2 - 3 hours each day, which includes reviewing the material covered in class, and preparing for the presentation.
COURSE INSTRUCTORS
Below are the faculty members who have developed the course, and taught the programme in the past (names are arranged in alphabetical order):