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

    Domain-Specific Fine-Tuning for Finance

     21 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at intermediate-level professionals who wish to gain practical skills in customizing AI models for critical financial tasks. By the end of this training, participants will be able to:
    • Understand the fundamentals of fine-tuning for finance applications.
    • Leverage pre-trained models for domain-specific tasks in finance.
    • Apply techniques for fraud detection, risk assessment, and financial advice generation.
    • Ensure compliance with financial regulations such as GDPR and SOX.
    • Implement data security and ethical AI practices in financial applications.
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    Troubleshooting Fine-Tuning Challenges

     14 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at advanced-level professionals who wish to refine their skills in diagnosing and solving fine-tuning challenges for machine learning models. By the end of this training, participants will be able to:
    • Diagnose issues like overfitting, underfitting, and data imbalance.
    • Implement strategies to improve model convergence.
    • Optimize fine-tuning pipelines for better performance.
    • Debug training processes using practical tools and techniques.
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    Optimizing Large Models for Cost-Effective Fine-Tuning

     21 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at advanced-level professionals who wish to master techniques for optimizing large models for cost-effective fine-tuning in real-world scenarios. By the end of this training, participants will be able to:
    • Understand the challenges of fine-tuning large models.
    • Apply distributed training techniques to large models.
    • Leverage model quantization and pruning for efficiency.
    • Optimize hardware utilization for fine-tuning tasks.
    • Deploy fine-tuned models effectively in production environments.
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    Prompt Engineering and Few-Shot Fine-Tuning

     14 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimize LLM performance for real-world applications. By the end of this training, participants will be able to:
    • Understand the principles of prompt engineering and few-shot learning.
    • Design effective prompts for various NLP tasks.
    • Leverage few-shot techniques to adapt LLMs with minimal data.
    • Optimize LLM performance for practical applications.
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    Fine-Tuning Multimodal Models

     28 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at advanced-level professionals who wish to master multimodal model fine-tuning for innovative AI solutions. By the end of this training, participants will be able to:
    • Understand the architecture of multimodal models like CLIP and Flamingo.
    • Prepare and preprocess multimodal datasets effectively.
    • Fine-tune multimodal models for specific tasks.
    • Optimize models for real-world applications and performance.
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    Fine-Tuning DeepSeek LLM for Custom AI Models

     21 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at advanced-level AI researchers, machine learning engineers, and developers who wish to fine-tune DeepSeek LLM models to create specialized AI applications tailored to specific industries, domains, or business needs. By the end of this training, participants will be able to:
    • Understand the architecture and capabilities of DeepSeek models, including DeepSeek-R1 and DeepSeek-V3.
    • Prepare datasets and preprocess data for fine-tuning.
    • Fine-tune DeepSeek LLM for domain-specific applications.
    • Optimize and deploy fine-tuned models efficiently.
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    Deploying Fine-Tuned Models in Production

     21 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently. By the end of this training, participants will be able to:
    • Understand the challenges of deploying fine-tuned models into production.
    • Containerize and deploy models using tools like Docker and Kubernetes.
    • Implement monitoring and logging for deployed models.
    • Optimize models for latency and scalability in real-world scenarios.
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    Advanced Techniques in Transfer Learning

     14 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at advanced-level machine learning professionals who wish to master cutting-edge transfer learning techniques and apply them to complex real-world problems. By the end of this training, participants will be able to:
    • Understand advanced concepts and methodologies in transfer learning.
    • Implement domain-specific adaptation techniques for pre-trained models.
    • Apply continual learning to manage evolving tasks and datasets.
    • Master multi-task fine-tuning to enhance model performance across tasks.
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    Introduction to Transfer Learning

     14 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at beginner-level to intermediate-level machine learning professionals who wish to understand and apply transfer learning techniques to improve efficiency and performance in AI projects. By the end of this training, participants will be able to:
    • Understand the core concepts and benefits of transfer learning.
    • Explore popular pre-trained models and their applications.
    • Perform fine-tuning of pre-trained models for custom tasks.
    • Apply transfer learning to solve real-world problems in NLP and computer vision.
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    Efficient Fine-Tuning with Low-Rank Adaptation (LoRA)

     14 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for extensive computational resources. By the end of this training, participants will be able to:
    • Understand the principles of Low-Rank Adaptation (LoRA).
    • Implement LoRA for efficient fine-tuning of large models.
    • Optimize fine-tuning for resource-constrained environments.
    • Evaluate and deploy LoRA-tuned models for practical applications.
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    Fine-Tuning Models and Large Language Models (LLMs)

     14 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to customize pre-trained models for specific tasks and datasets. By the end of this training, participants will be able to:
    • Understand the principles of fine-tuning and its applications.
    • Prepare datasets for fine-tuning pre-trained models.
    • Fine-tune large language models (LLMs) for NLP tasks.
    • Optimize model performance and address common challenges.
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    Fine-Tuning for Natural Language Processing (NLP)

     21 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of pre-trained language models. By the end of this training, participants will be able to:
    • Understand the fundamentals of fine-tuning for NLP tasks.
    • Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
    • Optimize hyperparameters for improved model performance.
    • Evaluate and deploy fine-tuned models in real-world scenarios.
    Read more...

    Last Updated:

    Provisional Upcoming Courses (Contact Us For More Information)

    Advanced Techniques in Transfer Learning

    2025-05-13 09:30
    14 hours
    Namur, Hotel de Ville
    2550 EUR (Online)
    2950 EUR (Classroom)

    Optimizing Large Models for Cost-Effective Fine-Tuning

    2025-05-27 09:30
    21 hours
    Namur, Hotel de Ville
    3750 EUR (Online)
    4350 EUR (Classroom)

    Fine-Tuning for Natural Language Processing (NLP)

    2025-06-10 09:30
    21 hours
    Namur, Hotel de Ville
    3750 EUR (Online)
    4350 EUR (Classroom)

    Troubleshooting Fine-Tuning Challenges

    2025-06-24 09:30
    14 hours
    Namur, Hotel de Ville
    2550 EUR (Online)
    2950 EUR (Classroom)

    Domain-Specific Fine-Tuning for Finance

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

    Fine-Tuning Multimodal Models

    2025-07-22 09:30
    28 hours
    Namur, Hotel de Ville
    4950 EUR (Online)
    5750 EUR (Classroom)

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