This repository is a curated list of summer and winter schools focused on Artificial Intelligence, Machine Learning, and Healthcare. It serves as a valuable resource for students, researchers, and professionals seeking to advance their knowledge and network in these rapidly evolving fields. The list provides comprehensive details on dates, deadlines, venues, organizers, and fees for numerous global AI educational events.

How It Works

The project functions as a community-driven, continuously updated directory of AI-related educational programs. It aggregates information from various sources, presenting it in a structured, tabular format for easy comparison and access. The primary goal is to centralize information that is often scattered across different university and conference websites, making it more accessible to a wider audience.

Quick Start & Requirements

This is a static list; no installation or execution is required. Users can directly browse the README for information on AI summer schools.

Highlighted Details

• Comprehensive listings for 2025, 2024, 2023, and 2022 AI summer schools.
• Detailed information including venue, dates, deadlines, organizers, fees, and scholarship availability.
• Covers a wide range of AI sub-fields such as computer vision, neuroscience, data science, and AI ethics.
• Includes FAQs and contribution guidelines for community involvement.

Maintenance & Community

The repository is maintained by hazratali and is open to community contributions via pull requests. It aims to complement existing resources like the awesome-mlss repo.

Licensing & Compatibility

The repository itself does not contain code and is a list of external resources. The licensing of the listed summer schools would be specific to each event's organizers.

Limitations & Caveats

The accuracy and completeness of the information are dependent on community contributions and the upkeep of the listed summer school websites. Deadlines and details may change, requiring users to verify information on the official event pages.