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AI Summer Week August 3–7, 2026 @ ETH Zurich

Develop your skills in AI tools, teamwork and creative thinking by designing and launching an online project and put it to test by pitching it to a panel of experts.
What you’ll do
On the first day, you’ll form a team with other participants, develop a shared idea, and turn it into an online prototype using a range of AI tools. The course is hands-on: Short teaching sessions introduce essential concepts, while most of the week is spent building, testing, and refining your project.
You’ll use AI tools such as ChatGPT, Playground AI, Lovable, and Shopify to support tasks including writing, idea development, image creation, and design. Step by step, you will turn an initial concept into a simple website and online shop.
Throughout the week, you will hear from guest speakers with experience in technology, design, and marketing. You will also visit the ETH Student Project House, a space where ETH students design and prototype their ideas and collaborate across disciplines.
At the end of the week, each team will present its project in a short pitch to a panel of experts from Google, Apple, and ETH Zurich, with families and friends welcome to join the audience. The most convincing projects will receive prizes:
1st prize: Oculus Meta Quest 3
2nd prize: PlayStation 5
3rd prize: AirPods (3rd generation) Who it’s for The programme is open to students aged 13–18 who are curious about AI, digital creation, entrepreneurship and teamwork. No technical background is required. Participants will be selected based on their application, not on prior experience. Places are limited. What you’ll gain By participating, you will: - explore how AI supports idea generation, writing, and visual design - build a website and online shop - learn the basics of social media marketing and presentation - experience how small teams develop a project within a short time frame - gain insight into how ETH students work on hands-on, creative projects You can expect a week focused on practical experience and learning by doing. The aim is to explore what AI makes possible, not to provide advanced technical training or to build a fully developed business. After this week, turning an idea into a small online prototype may feel surprisingly straightforward, almost a piece of cake (as our cover image suggests). Practical information Location: ETH Zurich, Department of Computer Science, Universitätstrasse 6 Dates: 3–7 August 2026 Times: 09:00–16:00 Fee: CHF 500 Language: The main language of instruction is English. Some instructors also speak German, and you may give your final pitch in German if you prefer. Equipment: Please bring your own laptop Scholarships: A limited number of scholarships is available for those with financial needs. Please select the checkbox below if this is your case. We will send a follow-up for proof. Application deadline: 15 June 2026 Contact: For any questions, please contact info@hebbian.ch. About Hebbian Hebbian is a Zurich-based educational initiative specialising in STEM programmes for young people. It was founded by ETH alumnus Cameron Weibel and Herman Galioulline, a doctoral researcher at ETH Zurich. Hebbian is known for its interactive and hands-on approach, offering workshops that connect theory with practical application and encourage students to explore technology with confidence and creativity. The AI Summer Week is organised in collaboration with the Department of Computer Science at ETH Zurich, which provides the infrastructure and hosts the programme. Programme lead
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Cameron Weibel is co-founder of Hebbian and an alumnus of ETH Zurich. He helped establish Hebbian’s mission to create accessible and practical STEM learning experiences for young people, and has led several programmes focused on AI, digital creation, and innovation.
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Herman Galioulline is co-founder of Hebbian and a doctoral researcher at ETH Zurich. His work combines technical research with a strong interest in education and youth engagement. At Hebbian, he contributes both academic expertise and practical experience in designing hands-on learning formats.
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