Fully Funded Summer Exchange Program in Europe 2026

The Eastern European Machine Learning Summer School (EEML) 2026 is now open for applications. This prestigious international training program brings together top researchers, engineers, and students in artificial intelligence and machine learning. Organized with global partners and industry leaders, the program provides a unique opportunity to learn cutting-edge AI skills and connect with world-class experts.

The 2026 edition will take place in Montenegro and is designed for motivated students and professionals who want to advance their knowledge in machine learning, deep learning, and data science.

About the Program

The Eastern European Machine Learning Summer School is one of the most recognized AI training programs in Europe. It focuses on building advanced knowledge in machine learning through lectures, workshops, and collaboration with global experts.

The summer school offers participants exposure to the latest research, technologies, and applications in artificial intelligence. It also creates opportunities for networking, mentorship, and career development in AI and tech industries.

The program has previously hosted speakers from leading organizations such as Google DeepMind, top universities, and innovative startups.

Program Details

• Program: Eastern European Machine Learning Summer School
• Location: Cetinje, Montenegro
• Duration: 27 July – 1 August 2026
• Deadline: 31 March 2026
• Format: In-person intensive training

The school will feature lectures, practical sessions, and discussions on modern AI topics, including deep learning, neural networks, and data-driven decision-making.

Key Benefits

• Learn from world-leading AI researchers and industry professionals
• Gain hands-on knowledge in machine learning and deep learning
• Network with international participants from diverse backgrounds
• Explore research collaborations and career opportunities
• Build a strong global community in AI and innovation
• Improve academic and professional profiles

Participants will also develop problem-solving, research, and innovation skills essential for the future of digital transformation.

Who Can Apply?

The program is open to:
• Undergraduate and graduate students
• PhD researchers
• Early-career professionals
• AI, data science, and technology enthusiasts
• Individuals with strong mathematics, programming, or research backgrounds

Applicants from all countries and regions are encouraged to apply.

Topics Covered

The curriculum includes advanced and emerging AI fields such as:
• Machine learning fundamentals
• Deep learning and neural networks
• Computer vision
• Natural language processing
• Data science and analytics
• AI research and innovation

Participants will also engage in collaborative discussions and knowledge sharing with peers and experts.

Why You Should Apply

Artificial intelligence and machine learning are among the fastest-growing fields globally. Programs like EEML help students and professionals gain international exposure, build global connections, and enhance their careers in technology and research.

By joining this summer school, participants gain insights into cutting-edge technologies and real-world AI applications, preparing them for leadership roles in academia, industry, and entrepreneurship.

How to Apply

Interested applicants should complete the online application before the deadline. Selection is competitive and based on academic background, motivation, and interest in AI research and innovation.

Conclusion

The Eastern European Machine Learning Summer School 2026 is a transformative opportunity for anyone passionate about artificial intelligence and technology. It provides global exposure, expert mentorship, and hands-on learning that can significantly boost your academic and professional journey.