Artificial Intelligence Summer School
A six-day residential introduction to AI for Grades 6–12. Use AI tools, discuss their ethical implications and plan a group application. No coding experience required.
- Published dates
- 21–26 July 2026
- Duration
- 6 days
- Location
- Shanghai
- Who it is for
- Grades 6–12
- Language of instruction
- Mandarin Chinese
- Format
- Residential, including evening activities
The dates above refer to the 2026 edition. Please ask the programme team about dates for a future edition.
About the programme
Understand how computing power, algorithms and data support AI. This six-day programme introduces computer vision, natural language processing and large language models through practical tasks and a group project.
No previous programming experience is required. Alongside using AI tools, you’ll discuss questions of privacy, bias and responsibility, and practise explaining a proposed application to others.
Organisers: East China Institute of Talent Science · T.School
What to expect
- Teaching led by Intel-certified trainers, university academics and industry practitioners.
- Practical tools, group projects, discussion and university or company visits.
- A completion certificate jointly issued by Intel and East China Normal University’s national digital literacy and skills training base, as listed for this programme. Confirm current issuing arrangements before applying.
What you’ll study
Understanding AI
Computing power, algorithms, data, generative AI, computer vision and natural language processing, alongside the history of AI and questions of privacy, bias and ethics.
Reasoning about technology
Use projects, case studies and ethical debates to practise critical thinking, systems analysis and problem-solving.
Working on an application
Choose a problem and plan an AI application to address it. Allocate tasks within your group, explain your design decisions and present the proposed solution.
Tools and industry
Try generative AI and large language model applications, and consider uses of computer vision. Company and university laboratory visits are subject to the final programme.
Programme schedule
The outline below is subject to adjustments. Visits, venues and teaching arrangements will be confirmed in the joining information.
Introduction to AI
Opening session, group formation, AI definitions, history and ethics, with discussion and presentations.
Computing, algorithms and data
Core AI concepts, systems thinking, the Loopy activity and natural language processing.
Industry and university visits
Planned visit to Intel for discussion and demonstrations, followed by a university visit and academic discussion; arrangements are subject to confirmation.
Computer vision and generative AI
Computer vision, pixel-based activities and generative AI tools.
Application project
Learn the AI project cycle and develop a proposal responding to a practical issue with social relevance.
Project presentations
Group presentations and closing ceremony.
Invited tutors
The following profiles are included in the Chinese programme information. Teaching assignments and the final tutor team are subject to confirmation.
Dr Yang
Holds a doctorate from Rensselaer Polytechnic Institute. An Intel AI master trainer, with previous roles as a principal researcher at Intel China Research Centre and chair of the Intel Developer Forum.
Lang
Deputy director of the STEM Education Research Centre at the Yangtze Delta Region Institute of Tsinghua University, Zhejiang; an Intel AI master trainer and senior expert at East China Normal University’s national digital literacy and skills training base.
Snow
Intel AI master trainer and problem setter for the Lanqiao software and information technology competition. A visiting teacher at Shanghai Foreign Language School and No. 2 High School of East China Normal University, with previous project development roles at IBM and eBay.
Wang Wei
Professor in the School of Data Science and Engineering at East China Normal University and director of its national digital literacy and skills training base.
Zhang Yanbin
Deputy director of East China Normal University’s national digital literacy and skills training base, postgraduate supervisor and Intel AI leadership trainer.
Huang Bo
Distinguished professor and doctoral supervisor at East China Normal University. Previous appointments include senior principal engineer at Intel China, general manager at Uisee Shanghai and senior technical expert at Huawei Shanghai.
Projects and completion
- Two individual assignments and a group AI application project.
- Completion certificate and a report of assessment results and feedback. Selected students may receive an expert recommendation letter.
Participation — 20%
Attendance and contributions to practical work, discussions and other course activities.
Individual assignments — 30%
Programming or application exercises assessed for technical understanding, reasoning and the quality of the work.
Group project — 50%
The final project, presentation and, for the competition track, submission materials.
How to apply
Who can apply
- Grades 6–12, with an interest in AI and computer science.
- No programming background is required; students should be ready to learn independently and contribute to a group.
- Readiness for residential learning and practical project activities.
Application materials
- Complete the online form with student details, a parent or guardian’s contact information and relevant previous learning or activities.
- A short statement of 200–300 Chinese characters explaining your interests, reasons for applying and what you hope to learn.
Application process
- Submit the online application.
- The admissions team normally completes its initial review within 3–5 working days and contacts applicants with the outcome.
- If offered a place, confirm acceptance and pay the required fee by the stated deadline.
- Joining instructions are sent before the programme; where specified, these are issued one week before arrival.
Teaching is in Mandarin Chinese.
Ask about a programme
Leave your contact details. A T.School programme adviser will contact you to discuss the subject, dates, preparation or application process.