26 May 2025 to 6 June 2025
UNIST Technological Park, Croatia
Europe/Zagreb timezone

Welcome to Split AI Lab

Split AI Lab is an intensive two-week school designed for students, researchers, and early-career professionals wanting to build a strong foundation in Machine Learning and Data Science. Through lectures, hands-on coding sessions, and real-world applications, participants will gain the essential knowledge and practical skills needed to confidently start their journey in AI.

Who is this school for?

This school is aimed at participants who:

  • Have basic knowledge of Python programming and computer literacy.
  • Understand fundamental statistics but have not had formal exposure to Machine Learning.
  • Want to apply ML techniques in industry, academia, or research.

What to Expect?

  • Hands-on coding sessions using Jupyter Notebooks and common ML libraries (NumPy, Pandas, Scikit-learn, etc.).
  • Practical projects and Kaggle challenges to apply knowledge.
  • Comprehensive training, covering statistical foundations, supervised & unsupervised learning, neural networks, and deep learning basics.
  • Networking with fellow participants and industry experts.

Program Structure

The school follows a full-day schedule (9 AM - 5 PM) with structured lectures, interactive discussions, and practical coding exercises.

Registration

The registration fee of 1.310,00 Euros covers the attendance to the school, all lectures and coffee breaks, studying materials, and social events. The early bird registration fee benefits from a 5% discount. 

Location & Logistics

The school will take place in Split, Croatia, offering a unique learning experience in a beautiful Mediterranean setting. 

The working language of the school is English.

For details on logistics, deadlines, and registration, please visit the corresponding pages.

Contact

For any questions, reach out to us at contact@splitailab.com.

 

Starts
Ends
Europe/Zagreb
UNIST Technological Park, Croatia
Antuna Gustava Matoša 56, Split
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Application
Application for this event is currently open.