Leuven

Park Inn by Radisson Leuven, Martelarenlaan 36, Leuven, Belgium, 3010

Leuven

Louvain (in Dutch Leuven, in German Löwen) is a Dutch-speaking city in Belgium located in the Flemish Region, capital of the province of Flemish Brabant and capital of the district that bears its name. It is watered by the Dyle, a tributary of the Rupel. It is a university city where the Katholieke Universiteit Leuven is located, a Dutch-speaking branch born from the split of the oldest university in Belgium. Leuven is also known for hosting the headquarters of AB InBev, the largest brewery in the world. Leuven is the beer capital of Belgium.

  • The nearest airport to the training center

    • 15 kilometers east of Brussels airport.

  • Closest train station to the training center

    • Leuven station

  • The nearest car park to the training center

    • P1 Parking Station Leuven

  • Cafés restaurants bars nearby

    1. Burger Farm Restaurant
    2. Restaurant Cuore Italiano
    3. Café Rocco

    Explore Our Courses

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

     21 Hours
    This instructor-led, live training in Leuven (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 Leuven (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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    Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

     14 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish 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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    Deep Reinforcement Learning with Python

     21 Hours
    This instructor-led, live training in Leuven (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 Leuven (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.
    Read more...

    Last Updated:

    Provisional Upcoming Courses (Contact Us For More Information)

    Fundamentals of Reinforcement Learning

    2025-06-24 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

    Deep Reinforcement Learning with Python

    2025-07-08 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

    Deep Reinforcement Learning with Python

    2025-07-22 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

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