| Program Code | PREU 2507 |
| Program Period | February 5 – 9, 2026 (5 days) |
| Level of Study | S4 - S5 / Year 11 - 12 / Grade 10 - 11 |
| Location | Shanghai |
| Accommodation | Self-arranged |
| Application Fee | HKD 250 |
| Program Fee |
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| Application Open | October 1, 2025 |
| Application Deadline | December 12, 2025 (23:59 HKT) |
"AI in Action: Transforming Ideas into Real-World Impact" is an immersive program designed to bridge the gap between theoretical AI concepts and tangible, industry-specific applications. Participants will move beyond fundamentals to gain hands-on experience with core AI technologies, including machine learning, neural networks, and generative AI models.
Through interactive workshops and expert-led sessions, the program explores how predictive analytics, computer vision, natural language processing, and intelligent automation are revolutionizing fields such as autonomous vehicles, robotics, and customer service.
The curriculum is built around actionable learning, enabling attendees to deconstruct the algorithms behind technologies like chatbots, collaborate to design AI-driven solutions, and develop skills for strategic AI implementation. By the end of the program, participants will be equipped to formulate actionable strategies for designing AI solutions, driving innovation and positive change within their organizations and communities.
- Deepen Their Understanding: Gain a comprehensive view of AI, exploring its mechanisms, various types, and the intuitions behind machine learning and neural networks.
- Explore Real-World Applications: Examine how AI is transforming industries such as self-driving cars, robotics, and customer service, and discover its potential to drive future innovations.
- Participate in Interactive Workshops: Get hands-on experience by working on exciting projects, including designing chatbot dialogue flows.
- Innovate for the Future: Collaborate with fellow students to brainstorm and design creative solutions that leverage AI to tackle real-world challenges.
- Introduction to AI
- AI in Robotics: The Future of Work and Assistance
- How Chatbots Learn: From Rules to Conversations
- Demystifying Large Language Models
- Mini-Hackaton in AI
Dr. Cheung is currently a Lecturer in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He received his BEng and PhD degrees in Computer Science from HKUST in 2018 and 2025, respectively.
Dr. Cheung's research focuses on data-centric AI, particularly on automated data augmentation methods for machine learning and artificial intelligence in low-data regimes. He is also interested in developing innovative, data-efficient solutions that enhance the performance and scalability of AI systems.
Prof. Joon Nak CHOI (JC) holds academic appointments as Advisor to the MSc in Business Analytics and Adjunct Assistant Professor at HKUST Business School, and as Faculty Associate at the Institute for Emerging Market Studies at HKUST.
He has also held visiting professorships at Stanford University and NYU Shanghai. He has worked in the private sector as a management consultant and an entrepreneur, having founded data science startups Zectr and Learnovate in Hong Kong. His work has been cited in the MIT Technology Review, the South China Morning Post, Sina.com, and the United Nations; his editorials have been published in some of the most widely read newspapers in Asia, including the South China Morning Post and the Maeil Kyungjae Daily.
#1 Participants must be 16 years old or older at the beginning of the program to be eligible for accommodation, which will be in shared rooms. If you are between 15 and 16 years old, we encourage you to submit your application so we can assess your situation and explore how we can assist you with accommodation arrangements.
Before submitting your application, please read the HKUST Pre‑University Program Notes carefully for details on entry requirements, fees, residential package, visa, attendance and other program guidelines.
The content above is subject to change without notice. Students should regularly check the website and their email for any updates.