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Do you have an idea for an AI-related product or service that you want to develop into a startup? Would you like to gain experience from startup founders and AI professionals?
The AI Startup Challenge is a two-month pre-acceleration program designed to discover AI talent and transform their ideas into startups.
What does the program offer?
- Intensive training and workshops on creating and developing startups and AI applications.
- Mentoring from specialists in startup and AI engineering.
- Teamwork with Agile prints.
- Creating a real MVP and presenting it at Demo Day.
- Cash prizes for the winners: 1st place – GEL 10,000; 2nd place – GEL 5,000.
- Certificates will be given to all participants.
Upon completing the AI Startup Challenge – Pre-Accelerator program, outstanding students will be able to:
- Continue developing an existing startup and Minimum Viable Product (MVP). The HIGGS and TSU Knowledge Transfer and Innovation Center will help you plan and implement the next stages of startup development.
- Continue your professional development with HIGGS (AI talent track) by working on real industry tasks, together with partner companies.
- Enrich your portfolio with AI projects.
- Gain theoretical and practical knowledge from industry professionals.
- Meet AI enthusiasts.
Important: To participate, you must form a team of two to four members (one team member must have a technical background and be responsible for creating an AI product or service, as the ultimate goal is to develop an AI technological prototype. This is a necessary factor for the team's evaluation).
The AI acceleration program is open to all areas - you can work on any AI-based idea. However, special priority will be given to AI projects in education and financial technology.
Period: October 13 – December 14 Pre-Acceleration Program; December 15-26 Demo Day
The program was created in partnership with the TSU Knowledge Transfer and Innovation Center, the HIGGS (AI talent club), the TSU Department of Computer Science, and Clevertone.
Registration: https://shorturl.at/9MGbr
Lecture and mentoring schedule: https://shorturl.at/56Ldb
Additional information: 599 004 901, KTIC@TSU.ge