Namur, Hotel de Ville

NobleProg Namur, Rue de Fer, 48 , Namur, Belgium, 5000

Namur is a French-speaking city in Belgium, capital of Wallonia since 1986, and capital of the province of Namur. Occupied since the Neolithic period, the confluence of the Sambre and the Meuse saw the birth of the Roman city at the beginning of our era. Former stronghold of the Counts of Namur, attached to the house of Luxembourg and then to the Habsburg Empire, the citadel of Namur was the focus of many sieges over the years. Despite the damage suffered by the conflicts, the city retains a rich movable and immovable heritage. Today the regional capital, the city is the seat of the Parliament of Wallonia, the Walloon Government and the Public Service of Wallonia, but also the host city of the International Francophone Film Festival, the fairground arts festival Namur in May, the Festival Verdur Rock.

  • The nearest airport to the training center

    • Namur-Suarlee International Airport

  • Closest train station to the training center

    • Namur station

  • The closest car park to the training center

    • Central Parking Lot

  • Cafés restaurants bars nearby

    1. YAYAMI Restaurant
    2. Restaurant San Marino
    3. Bar Caprice d'Ambiance

    Explore Our Courses

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

     21 Hours
    This instructor-led, live training in Namur (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 Namur (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 Namur (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 Namur (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 Namur (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...

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    Provisional Upcoming Courses (Contact Us For More Information)

    Fundamentals of Reinforcement Learning

    2025-06-24 09:30
    21 hours
    Namur, Hotel de Ville
    3750 EUR (Online)
    4350 EUR (Classroom)

    Deep Reinforcement Learning with Python

    2025-07-08 09:30
    21 hours
    Namur, Hotel de Ville
    3750 EUR (Online)
    4350 EUR (Classroom)

    Deep Reinforcement Learning with Python

    2025-07-22 09:30
    21 hours
    Namur, Hotel de Ville
    3750 EUR (Online)
    4350 EUR (Classroom)

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