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Green Heart Complex

Bulevar Milutina Milankovića 11b, Belgrade 11070, Belgrade, Serbia

Strategically located at Bulevar Milutina Milankovića 11b in Belgrade, Serbia, the Green Heart Complex stands as a prominent landmark in one of the country's most dynamic areas. This prestigious address places the complex within close proximity to key government buildings, cultural institutions, embassies, and major shopping centers, making it an ideal location for business and administrative activities. Its prime position on Bulevar Milutina Milankovića offers excellent accessibility and visibility, ensuring convenient connections to the heart of Belgrade's commercial and residential districts. The complex itself serves as a vital hub, providing modern facilities and services to support a diverse range of professional and commercial needs. From this strategic base, occupants and visitors benefit from proximity to Belgrade's vibrant urban life, including dining, entertainment, and transportation options. The Green Heart Complex represents a significant asset in the city's ongoing development, contributing to the efficiency and functionality of Belgrade's central business district.

Explore Our Courses

Federated Learning and Edge AI

 21 Hours

This instructor-led live training at Belgrade (online or onsite) targets advanced-level AI researchers, data scientists, and security specialists who seek to implement federated learning techniques for training AI models across multiple edge devices while preserving data privacy.

By the end of this training, participants will be able to:

  • Understand the principles and benefits of federated learning in Edge AI.
  • Implement federated learning models using TensorFlow Federated and PyTorch.
  • Optimize AI training across distributed edge devices.
  • Address data privacy and security challenges in federated learning.
  • Deploy and monitor federated learning systems in real-world applications.
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Federated Learning for Secure AI Collaboration

 14 Hours

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level AI and data professionals who wish to understand and implement federated learning techniques for privacy-preserving machine learning and collaborative AI solutions across distributed data sources.

By the end of this training, participants will be able to:

  • Understand the core concepts and benefits of federated learning.
  • Implement distributed training strategies for AI models.
  • Apply federated learning techniques to secure data-sensitive collaborations.
  • Explore case studies and practical examples of federated learning in healthcare and finance.
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Federated Learning in IoT and Edge Computing

 14 Hours

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level professionals seeking to apply Federated Learning to optimize IoT and edge computing solutions.

Upon completion of this training, participants will be able to:

  • Comprehend the principles and advantages of Federated Learning in IoT and edge computing.
  • Deploy Federated Learning models on IoT devices for decentralized AI processing.
  • Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
  • Overcome challenges related to data privacy and network limitations in IoT systems.
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Federated Learning for Finance

 14 Hours

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level professionals who wish to apply Federated Learning techniques to enhance data privacy and collaborative AI in the financial industry.

By the conclusion of this training, participants will be able to:

  • Grasp the core principles and advantages of applying Federated Learning in finance.
  • Build Federated Learning models tailored for financial applications that protect privacy.
  • Conduct collaborative financial data analysis while ensuring privacy is not compromised.
  • Apply Federated Learning solutions to real-world financial challenges, including fraud detection and risk management.
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Federated Learning for Healthcare

 21 Hours

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to healthcare scenarios, ensuring data privacy and effective collaboration across institutions.

By the end of this training, participants will be able to:

  • Understand the role of Federated Learning in healthcare.
  • Implement Federated Learning models while ensuring patient data privacy.
  • Collaborate on AI model training across multiple healthcare institutions.
  • Apply Federated Learning to real-world healthcare case studies.
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Advanced Federated Learning Techniques

 21 Hours

This instructor-led, live training in Belgrade (online or onsite) is designed for advanced-level professionals aiming to master cutting-edge Federated Learning techniques and apply them to large-scale AI initiatives.

Upon completion of this training, participants will be able to:

  • Optimize Federated Learning algorithms to enhance performance.
  • Manage non-IID data distributions within Federated Learning frameworks.
  • Scale Federated Learning systems for extensive deployments.
  • Address privacy, security, and ethical implications in advanced Federated Learning contexts.
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Federated Learning for Privacy-Preserving AI

 14 Hours

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level professionals aiming to understand and apply Federated Learning to ensure data privacy in AI development.

By the end of this training, participants will be able to:

  • Understand the principles and benefits of Federated Learning.
  • Implement privacy-preserving machine learning models using Federated Learning techniques.
  • Address the challenges of data privacy in decentralized AI training.
  • Apply Federated Learning in real-world scenarios across various industries.
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Introduction to Federated Learning

 14 Hours

This instructor-led live training, offered Belgrade (online or onsite), targets beginner-level professionals seeking to master the fundamentals of Federated Learning and its practical applications.

By the conclusion of this training, participants will be able to:

  • Comprehend the principles of Federated Learning.
  • Implement foundational Federated Learning algorithms.
  • Resolve data privacy concerns using Federated Learning.
  • Integrate Federated Learning into existing AI workflows.
Read more...

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Upcoming Courses

Advanced Federated Learning Techniques

2026-07-13 09:30
21 hours
Green Heart Complex
810 EUR (Online)
810 EUR (Classroom)

Federated Learning for Privacy-Preserving AI

2026-07-27 09:30
14 hours
Green Heart Complex
540 EUR (Online)
540 EUR (Classroom)

Advanced Federated Learning Techniques

2026-08-10 09:30
21 hours
Green Heart Complex
810 EUR (Online)
810 EUR (Classroom)

Federated Learning for Privacy-Preserving AI

2026-08-24 09:30
14 hours
Green Heart Complex
540 EUR (Online)
540 EUR (Classroom)

Federated Learning for Finance

2026-09-07 09:30
14 hours
Green Heart Complex
540 EUR (Online)
540 EUR (Classroom)

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