A 2-week intensive program delivering 60 hours of hands-on AI training — from Python fundamentals to real-world machine learning, deep learning, and LLM-based development. Hosted at IUS Campus, Sarajevo.
A 2-week Artificial Intelligence Summer School held in Bosnia and Herzegovina in cooperation with the International University of Sarajevo (IUS). The educational content is provided by the T3 Foundation and consists of 60 hours of intensive, hands-on AI training.
The program enables students to learn fundamental AI concepts and develop projects that solve real-world problems. Python-based data analysis, machine learning, and deep learning are covered through practical sessions.
Modern AI development practices are introduced using LLM-based tools, the "vibe coding" approach, and API integration. Students learn to build end-to-end systems with applications such as RAG, object detection, and image classification — and present their own AI products at the final showcase.

Fees are all-inclusive. Flight tickets are not included for students travelling from Turkey.
Two structured weeks covering AI fundamentals through advanced applied projects.
| Topic | Duration |
|---|---|
| What is Artificial Intelligence? | 1 hr |
| AI Application Areas and Approaches | 1 hr |
| Applications of AI in Robotics | 1 hr |
| Python Development Environments for AI Python | 1 hr |
| Machine Learning Approaches and Methods ML | 1 hr |
| Data and Dataset Concepts | 1 hr |
| The Pandas Python Library Python | 1 hr |
| The Matplotlib Python Library Python | 1 hr |
| The NumPy Python Library Python | 1 hr |
| What is Vibe Coding? Vibe Coding | 1 hr |
| Data Loading, Model Development, and Train–Test Processes in Python ML | 2 hrs |
| Flower Classification Using the Iris Dataset with ChatGPT Vibe Coding Vibe Coding | 3 hrs |
| Outlier Detection and Filtering ML | 1 hr |
| Outlier Detection — Sample Applications with Python Python | 2 hrs |
| Car Sales Prediction Using Bayesian Methods ML | 3 hrs |
| COVID-19 Case Prediction Using Decision Trees ML | 3 hrs |
| Building Energy Efficiency with Neural Networks & Claude Vibe Coding Vibe Coding | 3 hrs |
| Diabetes Prediction with Ensemble Models & Claude Vibe Coding Vibe Coding | 3 hrs |
| Topic | Duration |
|---|---|
| VS Code + GitHub Copilot and Cursor + Claude Integration LLM | 1 hr |
| Creating Application Frameworks with Prompts LLM | 2 hrs |
| Using ChatGPT / Gemini / Claude API in Python LLM | 2 hrs |
| Developing LLM-Based Assistant Bots with Cursor + Claude LLM | 2 hrs |
| Q&A Applications with RAG — Documents & Web Sources RAG | 3 hrs |
| Creating Interfaces for AI Applications with Streamlit Python | 2 hrs |
| Weekly Project Project | 3 hrs |
| Real-Time Object Detection with YOLOv11 and Vibe Coding Vibe Coding | 2 hrs |
| Recycling Waste Classification via ViT and ResNet with Vibe Coding Vibe Coding | 2 hrs |
| Explainable AI (XAI) Methods and Application Integration XAI | 2 hrs |
| AI Security and Adversarial Examples | 2 hrs |
| Ways to Create Reliable AI | 2 hrs |
| Ethical and Collaborative Use of AI | 1 hr |
| Team-Based Project Management Using Claude Projects LLM | 1 hr |
| Final Project Development Project | 3 hrs |