​Overview

​Tokyo Student Network (TSN) proposes a three-part, student-focused workshop series designed to equip students with the practical skills needed to excel in an upcoming May 2026 weekend hackathon.

​The series will focus on hands-on, responsible, and effective use of modern AI tools in ideation, prototyping, debugging, and presentation, giving students a competitive edge while promoting ethical and productive tool usage.

​Each session will be hosted in collaboration with leading technology companies such as Google, OpenAI, and Anthropic, and will emphasize real-world workflows rather than theoretical lectures.

​Objectives:

• ​Help students use AI tools effectively, responsibly, and creatively

• ​Reduce the gap between tool availability and practical know-how

• ​Prepare students for high-impact hackathon performance

• ​Expose students to industry best practices and real-world applications

• ​Build early relationships between students and innovative tech companies

​Date & Venue: 

​Event 1 — 26 February 2026 (Thu) from 19:00

​Event 2 — 26 March 2026 (Thu) from 19:00

​Event 3 — 23 April 2026 (Thu) from 19:00

​Format: 

​In-person events, including:

• ​Interactive workshop-style sessions

• ​Live demos, guided exercises, and Q&A

​Schedule:

​18:30: Doors Open

​18:50 – 19:00: Opening & Welcome

​19:00 – 19:30: Talk about practical use of AI tools in ideation, prototyping, or real workflows

​19:30 – 20:00: Hands-On Workshop / Live Demo

​20:00 – 21:00: Structured Networking Session

​Language: Primarily English, accessible to students from international and Japanese universities

​Cost: TSN strives to keep events free, so all students have access regardless of financial constraints.

​Target Audience:

• ​Undergraduate and graduate students across all disciplines 

• ​Students planning to participate in the May hackathon

• ​Beginners to intermediate technical backgrounds

• ​Students interested in AI, startups, and problem-solving

​How you can get involved

​Please email us at [email protected] or [email protected] if you’re interested in learning more about any of the roles below.

​Organizers

​​​​​Ilya Kulyatin: Fintech and AI entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan, with an MSc in Machine Learning from UCL.

​Supporters

​​​Tokyo AI (​​​TAI) is the biggest AI community in Japan, with 4,000+ members mainly based in Tokyo (engineers, researchers, investors, product managers, and corporate innovation managers).

​Tokyo Student Network (TSN) is a student-driven community connecting students across universities in Tokyo and eventually across Japan. We aim to create a safe, inclusive space where students can collaborate, learn, and grow together through building friendships, receiving guidance, and accessing opportunities beyond classroom walls. To achieve these goals, TSN will offer skill-building opportunities and a dynamic cross-campus student network.

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