Google AI Accelerator
This June holidays, join the inaugural 2-week Google AI Accelerator 2025 - a hands-on learning experience for Secondary School and Junior College students in Singapore. In partnership with the Infocomm Media Development Authority (IMDA), Google Cloud, and the Cancer Science Institute at the National University of Singapore (NUS), the programme offers practical training in Python, AI, and Machine Vision. Apply your skills to real-world cancer imaging data and present your final project at Google HQ Singapore.
Fully sponsored by IMDA and Google Cloud
Programme Organiser
SG Code Campus is a leading tech education provider in Singapore, offering practical training in coding, data science, and AI for learners of all ages. Its programmes focus on bridging classroom learning with real-world application.
As a Google Cloud Authorised Training Partner with Google Authorised Instructors, SG Code Campus delivers hands-on courses in cloud computing and AI, using industry tools and real datasets to prepare learners for the future.
Industry Partner
The Cancer Science Institute of Singapore (CSI) is a top cancer research centre at the National University of Singapore. As an industry partner in the Google AI Accelerator, CSI is providing real, anonymised cancer imaging data for students to work with during the programme.
This unique collaboration allows students to explore the frontiers of biomedical science, applying AI to meaningful healthcare challenges — and experiencing first-hand how technology can contribute to the advancement of medicine.
School Partner
Dunman Secondary, an autonomous and leading STEM school, that is accorded Apple Distinguished School (2024–2027) status for its transformative use of technology in learning. Its STEM VIA DT Programme integrates STEM, design thinking, and community values to cultivate future leaders solving real-world challenges through innovation and 21CC.
Requirements
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Schedule
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Google Cloud Tools
This programme uses Google Cloud tools for AI and data analysis, including Vertex AI and Google Colab. Learn more here.
Prerequisites
This IMDA-funded programme is only open to students currently enrolled in a local, Ministry of Education (MoE) Junior College, Secondary School, or Millennia Institute. Unfortunately, the programme is not open to students enrolled at international schools in Singapore.
Prior programming experience is recommended but not required. However, prospective participants should have a very strong background in Mathematics and, ideally (though not necessarily), some exposure to Statistics typically covered in Junior College.
Students should also have access to their own modern laptop (PC, Mac or Linux); tablet computing devices are not suitable for this programme.
Course Objectives
Learn Python for AI
Use Google AI Tools
Solve Real-World Challenges
Python Fundamentals
- Python Basics
- Python Functions and Data Structures
- Python Frameworks for Deep Learning
Introduction to Deep Learning
- Vectors, Space and Dimensionality
- Neural Network Basics
- Interacting with Deep Learning Models using Python
- Running tasks on Google Vertex AI
Deep Learning Fundamentals
- Neural Networks Architecture and Limitations
- Loss Functions and Back-propagation
- Regularisation Techniques and Hyperparameter Tuning
- Transfer Learning
- On-demand GPUs on Google Cloud
Artificial Intelligence Models
- Convolutional Neural Network
- Generative AI and Natural Language Processing
- Transformers
- Multi-modal Models
- Explainable Artificial Intelligence (XAI)
Module Components
Google AI Accelerator 2025 Schedule
The course will run over 2 weeks during the school holidays.
The first week will consist of a total of 48-hours of training, taking place over 5 days (in-person, with catered lunch break) from 9am - 6pm; and 1 day of online training from 9am-6pm (with lunch break).
In the second week, students will independently work in project groups to tackle a real-world problem posed by NUS Cancer Science Institute (CSI), applying skills from the previous week.
Speakers/Instructors
HuiLiang
Google Authorised Trainer
AWS Champion
X7 AWS Certified
BSc, Mech Eng, Berkeley
Sun Chang
BSc, Applied Math, NUS
Gary
MSc, Fin Eng, NUS
MTech, Knowledge Eng, NUS
BSc, E.Eng., University of Toronto
Ian
BA, Applied Math, Berkeley
Natasha
Google Authorised Trainer
Google Professional Data Engineer
MSc, Comp Sci, HKU
BSc, Math & Comp Sci, McGill
ST Electronics
Germaine
Apple Certified Trainer
x2 AWS Certified
BEng, Bio Eng, Berkeley
Keith
BSc, Information Systems, SMU
Jireh
BSc, Comp Sci, NTU
Sea Ltd.
Ubisoft
How to sign up?
Follow the instructions in this section. Applicants do not need their teacher's permission to attend the Accelerator. However, as we would like to keep your schools updated on your progress, schools will be emailed once at the start and at the end of the Accelerator. In the online registration form on this webpage, there will be a section for you to fill in the contact details of your CCA or form teacher (please get permission from them to fill in the form with their contact).
1
Record a video introduction
2
Submit your video and application
View our previous Accelerator programmes here.