EEML Summer School 2026 Montenegro

Worldwide
WorldwideScholarshipFully FundedRolling deadlineall
3 min readOpportunity Station

Program details

Key facts at a glance

Host country
Worldwide
Region
Worldwide
Funding
Fully Funded

Program overview

Full description, requirements, and what to expect

This Summer Course program in Cetinje, Montenegro offers fully funded,. The application deadline is 31st March 2026.

KEY DETAILS - Location: Cetinje, Montenegro - Program level: Summer Course - Funding: Fully Funded, - Deadline: 31st March 2026

ELIGIBILITY - Open to All: Regardless of where they live, anyone who is 18 years of age or older may apply. - Diverse Academic Backgrounds: Participants are encouraged to come from a variety of fields and disciplines. - Global Participation: Applications from all around the world are invited, even though the program is held in Eastern Europe to highlight local machine learning competence. - Inclusive Community: The program’s goal is to create a vibrant, globally diversified community of practitioners and researchers.

BENEFITS - Travel Support: Depending on funding circumstances, financial aid to pay for round-trip travel costs to and from the program site. - Accommodations: For the duration of the summer course, free housing is offered. - Coverage of Registration Expenses: For a limited number of participants, program registration expenses are fully waived. - Certificate of Participation: An official document given to participants upon successful program completion. - What Are You Going to Get? - Gain a thorough understanding of both basic and complex machine learning concepts, such as reinforcement learning and deep learning. - Learn the fundamental terms, tenets, and ideas that are employed in the discipline. - Examine the theoretical underpinnings, ongoing research issues, and new developments in artificial intelligence. - Learn about popular neural network architectures, including Transformers, CNNs, RNNs, and GNNs. - Recognize effective practices for designing experiments, setting baselines, and fine-tuning hyperparameters. - Gain hands-on experience designing, training, testing, and assessing neural networks for practical uses. - Discover how to assess model performance and identify typical problems such as overfitting. - Through debates, poster sessions, and networking events, make connections with other attendees and top scholars.

Official reference

Requirements & preparation

Review eligibility, benefits, and documents before you apply

Eligibility criteria

4 requirements to review

  • Open to All: Regardless of where they live, anyone who is 18 years of age or older may apply.
  • Diverse Academic Backgrounds: Participants are encouraged to come from a variety of fields and disciplines.
  • Global Participation: Applications from all around the world are invited, even though the program is held in Eastern Europe to highlight local machine learning competence.
  • Inclusive Community: The program’s goal is to create a vibrant, globally diversified community of practitioners and researchers.

Benefits & funding

13 perks included · Fully Funded

  • Travel Support: Depending on funding circumstances, financial aid to pay for round-trip travel costs to and from the program site.
  • Accommodations: For the duration of the summer course, free housing is offered.
  • Coverage of Registration Expenses: For a limited number of participants, program registration expenses are fully waived.
  • Certificate of Participation: An official document given to participants upon successful program completion.
  • What Are You Going to Get?
  • Gain a thorough understanding of both basic and complex machine learning concepts, such as reinforcement learning and deep learning.
  • Learn the fundamental terms, tenets, and ideas that are employed in the discipline.
  • Examine the theoretical underpinnings, ongoing research issues, and new developments in artificial intelligence.
  • Learn about popular neural network architectures, including Transformers, CNNs, RNNs, and GNNs.
  • Recognize effective practices for designing experiments, setting baselines, and fine-tuning hyperparameters.
  • Gain hands-on experience designing, training, testing, and assessing neural networks for practical uses.
  • Discover how to assess model performance and identify typical problems such as overfitting.
  • Through debates, poster sessions, and networking events, make connections with other attendees and top scholars.

Important dates

Deadlines and listing updates

  • Application deadlineRolling — applications accepted on an ongoing basis
  • Published on Opportunity StationFeb 28, 2026
  • Last updatedJul 8, 2026

Participating location

Where this opportunity takes place

Worldwide

scholarshipwwfully-funded
Next step

Ready to apply?

Use the official application website to submit your application directly to the program organizer. The link opens in a new tab so you can keep this guide open.

https://glorno.com/index.php/2026/03/01/eeml-summer-school-2026-montenegro-fully-funded/

Apply Here