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Central Point Varna

бул. „Владислав Варненчик“ 256, Varna, Bulgaria, 9009

The "Central Point" complex offers quick access to main roads leading to the airport, the northern and southern resorts and the Varna - Sofia and Varna - Burgas highways.

Explore Our Courses

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

 21 Hours

This instructor-led, live training in Varna (online or on-site) targets 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 Varna (online or onsite) is designed for advanced machine learning engineers and AI researchers who aim to apply RLHF to fine-tune large AI models for improved performance, safety, and alignment.

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

  • Understand the theoretical foundations of RLHF and its importance in modern AI development.
  • Implement reward models based on human feedback to guide reinforcement learning processes.
  • Fine-tune large language models using RLHF techniques to align outputs with human preferences.
  • Apply best practices for scaling RLHF workflows for production-grade AI systems.
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Reinforcement Learning with Google Colab

 28 Hours

This instructor-led live training in Varna (online or onsite) is designed for advanced professionals looking to deepen their grasp of reinforcement learning and its practical applications in AI development using Google Colab.

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

  • Understand 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, empowering agents to make decisions through interaction with their environments. This approach drives many modern AI innovations, 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 via trial and error using reward-based learning.

This instructor-led live training (available online or onsite) is designed for 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.

Upon completing this training, participants will be able to:

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

Format of the Course

  • Interactive lectures and guided discussions.
  • 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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Upcoming Courses

Deep Reinforcement Learning with Python

2026-07-15 09:30
21 hours
Central Point Varna
972 EUR (Online)
1572 EUR (Classroom)

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

2026-07-29 09:30
21 hours
Central Point Varna
810 EUR (Online)
1410 EUR (Classroom)

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

2026-08-12 09:30
14 hours
Central Point Varna
540 EUR (Online)
940 EUR (Classroom)

Deep Reinforcement Learning with Python

2026-08-26 09:30
21 hours
Central Point Varna
972 EUR (Online)
1572 EUR (Classroom)

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

2026-09-09 09:30
14 hours
Central Point Varna
540 EUR (Online)
940 EUR (Classroom)

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These courses are also available in other countries

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