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Timisoara, Iosif Bulbuca Boulevard

NobleProg Timisoara, Boulevard Iosif Bulbuca Nr. 20, Timisoara, romania, 300736

City Business Center is a recent office building. In addition to the architectural peculiarities and special functionalities, the complex also enjoys a very good position, being easily accessible by means of public transport or by car.

The center can be accessed using public transport. There is a tram or bus stop 1 min. walking distance, with connection to the city and suburbs.

At 3 min. on foot (approx. 350m distance) you can discover the Timisoara Botanical Park, the Civic Park, the A. Scudier Central Park.

Parking spaces can be found in the underground parking or nearby.

Explore Our Courses

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

 21 Hours

This instructor-led, live training in Banat (online or onsite) is aimed at intermediate-level data scientists who wish to gain a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

By the end 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 at Banat (online or onsite) is designed for advanced-level machine learning engineers and AI researchers who aim to apply RLHF to fine-tune large AI models for superior performance, safety, and alignment.

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

  • Understand the theoretical foundations of RLHF and why it is essential 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 Banat (available online or onsite) is designed for advanced-level professionals aiming to enhance their comprehension of reinforcement learning and its practical utility in AI development using Google Colab.

By the conclusion of this 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
This instructor-led training in Banat explores both the theoretical underpinnings and practical application of Deep Reinforcement Learning with Python. Participants will develop and train DRL agents using TensorFlow or PyTorch, leveraging key algorithms like DQN and PPO to address complex real-world challenges.
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Upcoming Courses

Deep Reinforcement Learning with Python

2026-10-21 09:30
21 hours
Timisoara, Iosif Bulbuca Boulevard
891 EUR (Online)
1491 EUR (Classroom)

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

2026-11-04 09:30
21 hours
Timisoara, Iosif Bulbuca Boulevard
743 EUR (Online)
1343 EUR (Classroom)

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

2026-11-18 09:30
21 hours
Timisoara, Iosif Bulbuca Boulevard
743 EUR (Online)
1343 EUR (Classroom)

Deep Reinforcement Learning with Python

2026-12-02 09:30
21 hours
Timisoara, Iosif Bulbuca Boulevard
891 EUR (Online)
1491 EUR (Classroom)

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