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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

Large Language Models (LLMs) and Reinforcement Learning (RL)

 21 Hours

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level data scientists aiming to develop a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

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

  • Understand the components and functionality of transformer models.
  • Optimize and fine-tune LLMs for specific tasks and applications.
  • Understand the core principles and methodologies of reinforcement learning.
  • Learn how reinforcement learning techniques can enhance the performance of LLMs.
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Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

 14 Hours

This instructor-led, live training in Belgrade (online or onsite) is designed for senior machine learning engineers and AI researchers who wish to apply RLHF to fine-tune large AI models for superior performance, safety, and alignment.

Upon completion of this training, participants will be capable of:

  • Gaining insight into the theoretical underpinnings of RLHF and its critical role in contemporary AI development.
  • Developing reward models driven by human feedback to steer reinforcement learning procedures.
  • Fine-tuning large language models using RLHF methods to ensure outputs align with human preferences.
  • Applying industry best practices for scaling RLHF workflows in production-grade AI systems.
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Reinforcement Learning with Google Colab

 28 Hours

This live, instructor-led training, available Belgrade (online or on-site), is tailored for advanced professionals seeking to deepen their expertise in reinforcement learning and its practical application in AI development using Google Colab.

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

  • Grasp the core concepts of reinforcement learning algorithms.
  • Implement reinforcement learning models using TensorFlow and OpenAI Gym.
  • Develop intelligent agents that learn through trial and error.
  • Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
  • Train agents in simulated environments using OpenAI Gym.
  • Deploy reinforcement learning models for real-world applications.
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Deep Reinforcement Learning with Python

 21 Hours

Deep Reinforcement Learning (DRL) merges reinforcement learning principles with deep learning architectures, allowing agents to make decisions through interaction with their environments. This technology supports many modern AI advancements, including self-driving vehicles, robotics control, algorithmic trading, and adaptive recommendation systems. DRL enables artificial agents to learn strategies, optimize policies, and make autonomous decisions based on trial-and-error reward-based learning.

This instructor-led live training (available online or onsite) targets intermediate-level developers and data scientists who want to learn and apply Deep Reinforcement Learning techniques to build intelligent agents capable of autonomous decision-making in complex environments.

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

  • Grasp the theoretical foundations and mathematical principles of Reinforcement Learning.
  • Implement key RL algorithms, including Q-Learning, Policy Gradients, and Actor-Critic methods.
  • Build and train Deep Reinforcement Learning agents using TensorFlow or PyTorch.
  • Apply DRL to real-world applications such as games, robotics, and decision optimization.
  • Troubleshoot, visualize, and optimize training performance using modern tools.

Format of the Course

  • Interactive lecture and guided discussion.
  • Hands-on exercises and practical implementations.
  • Live coding demonstrations and project-based applications.

Course Customization Options

  • To request a customized version of this course (e.g., using PyTorch instead of TensorFlow), please contact us to arrange.
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Fundamentals of Reinforcement Learning

 21 Hours

This instructor-led live training in Belgrade (online or onsite) is designed for data scientists who want to go beyond traditional machine learning approaches to teach computer programs to solve problems without using labeled data and big datasets.

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

  • Install and use the libraries and programming languages required to implement Reinforcement Learning.
  • Develop software agents that learn through feedback rather than supervised learning.
  • Program agents to solve problems involving sequential and finite decision-making.
  • Apply their knowledge to design software that learns in a manner similar to human cognition.
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Upcoming Courses

Fundamentals of Reinforcement Learning

2026-06-11 09:30
21 hours
Green Heart Complex
810 EUR (Online)
810 EUR (Classroom)

Large Language Models (LLMs) and Reinforcement Learning (RL)

2026-06-25 09:30
21 hours
Green Heart Complex
810 EUR (Online)
810 EUR (Classroom)

Large Language Models (LLMs) and Reinforcement Learning (RL)

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

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

2026-07-23 09:30
14 hours
Green Heart Complex
540 EUR (Online)
540 EUR (Classroom)

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