Nieuwegein

NBC Congress Centre, Blokhoeve 1, Nieuwegein, Netherlands, 3438 LC

The NBC Congress Center is a family business and you notice this by our involvement. Our employees work hard to provide our guests with a perfect meeting. In the preparation we think along with you and during your meeting we take over the operational matters. This way you can focus on your meeting. The NBC Congress Center has been a family business since 1992. In practice, it means that we are a strong team with little turnover. In total, more than 140 enthusiastic employees work at the NBC Conference Center that are ready for you every day. No day is the same here, we go very far for our guests. That means thinking along in the preparation, not taking a challenge out of the way and being involved with our guests and their meetings. Curious about our team? Access by public transport From Jaarbeursplein Utrecht you take the express tram to Nieuwegein - Zuid or IJsselstein. These leave every 7 minutes. After about 15 minutes you get off at the Zuilenstein stop. You cross the road immediately and the NBC Congress Center is right in front of you. You can not miss the striking orange tower. Free parking with own transport The NBC is strategically located near the A2, A12 and A27 in the heart of the Netherlands. The NBC has 1,200 free parking spaces and 2 E-Charge points

Explore Our Courses

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

 21 Hours
This instructor-led, live training in Nieuwegein (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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Reinforcement Learning with Google Colab

 28 Hours
This instructor-led, live training in Nieuwegein (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab. By the end 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, live training in Nieuwegein (online or onsite) is aimed at developers and data scientists who wish to learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent. By the end of this training, participants will be able to:
  • Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning.
  • Apply advanced Reinforcement Learning algorithms to solve real-world problems.
  • Build a Deep Learning Agent.
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Fundamentals of Reinforcement Learning

 21 Hours
This instructor-led, live training in Nieuwegein (online or onsite) is aimed at data scientists who wish to go beyond traditional machine learning approaches to teach a computer program to figure out things (solve problems) without the use of labeled data and big data sets. By the end of this training, participants will be able to:
  • Install and apply the libraries and programming language needed to implement Reinforcement Learning.
  • Create a software agent that is capable of learning through feedback instead of through supervised learning.
  • Program an agent to solve problems where decision making is sequential and finite.
  • Apply knowledge to design software that can learn in a way similar to how humans learn.
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Provisional Upcoming Courses (Contact Us For More Information)

Deep Reinforcement Learning with Python

2025-05-07 09:30
21 hours
Nieuwegein

Fundamentals of Reinforcement Learning

2025-05-21 09:30
21 hours
Nieuwegein

Fundamentals of Reinforcement Learning

2025-06-04 09:30
21 hours
Nieuwegein

Deep Reinforcement Learning with Python

2025-06-18 09:30
21 hours
Nieuwegein

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

2025-07-02 09:30
21 hours
Nieuwegein

Fundamentals of Reinforcement Learning

2025-07-16 09:30
21 hours
Nieuwegein

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Reinforcement Learning Consulting
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