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

    Subcategories (2)

    Kubeflow

    Kubeflow
    MLflow

    MLflow

    Explore Our Courses

    DeepSeek: Advanced Model Optimization and Deployment

     14 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at advanced-level AI engineers and data scientists with intermediate-to-advanced experience who wish to enhance DeepSeek model performance, minimize latency, and deploy AI solutions efficiently using modern MLOps practices. By the end of this training, participants will be able to:
    • Optimize DeepSeek models for efficiency, accuracy, and scalability.
    • Implement best practices for MLOps and model versioning.
    • Deploy DeepSeek models on cloud and on-premise infrastructure.
    • Monitor, maintain, and scale AI solutions effectively.
    Read more...

    Kubeflow

     35 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes. By the end of this training, participants will be able to:
    • Install and configure Kubeflow on premise and in the cloud using AWS EKS (Elastic Kubernetes Service).
    • Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
    • Run entire machine learning pipelines on diverse architectures and cloud environments.
    • Using Kubeflow to spawn and manage Jupyter notebooks.
    • Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
    Read more...

    Kubeflow Fundamentals

     28 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes. By the end of this training, participants will be able to:
    • Install and configure Kubeflow on premise and in the cloud.
    • Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
    • Run entire machine learning pipelines on diverse architectures and cloud environments.
    • Using Kubeflow to spawn and manage Jupyter notebooks.
    • Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
    Read more...

    Kubeflow on AWS

     28 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server. By the end of this training, participants will be able to:
    • Install and configure Kubernetes, Kubeflow and other needed software on AWS.
    • Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
    • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
    • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
    • Leverage other AWS managed services to extend an ML application.
    Read more...

    Kubeflow on Azure

     28 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud. By the end of this training, participants will be able to:
    • Install and configure Kubernetes, Kubeflow and other needed software on Azure.
    • Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
    • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
    • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
    • Leverage other AWS managed services to extend an ML application.
    Read more...

    MLflow

     21 Hours
    This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process. By the end of this training, participants will be able to:
    • Install and configure MLflow and related ML libraries and frameworks.
    • Appreciate the importance of trackability, reproducability and deployability of an ML model
    • Deploy ML models to different public clouds, platforms, or on-premise servers.
    • Scale the ML deployment process to accommodate multiple users collaborating on a project.
    • Set up a central registry to experiment with, reproduce, and deploy ML models.
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    MLOps: CI/CD for Machine Learning

     35 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an intelligent decision on the path forward in adopting MLOps within their organization. By the end of this training, participants will be able to:
    • Install and configure various MLOps frameworks and tools.
    • Assemble the right kind of team with the right skills for constructing and supporting an MLOps system.
    • Prepare, validate and version data for use by ML models.
    • Understand the components of an ML Pipeline and the tools needed to build one.
    • Experiment with different machine learning frameworks and servers for deploying to production.
    • Operationalize the entire Machine Learning process so that it's reproduceable and maintainable.
    Read more...

    MLOps for Azure Machine Learning

     14 Hours
    This instructor-led, live training in (online or onsite) is aimed at machine learning engineers who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices. By the end of this training, participants will be able to:
    • Build reproducible workflows and machine learning models.
    • Manage the machine learning lifecycle.
    • Track and report model version history, assets, and more.
    • Deploy production ready machine learning models anywhere.
    Read more...

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    Testimonials (3)

    the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

    Guillaume GAUTIER - OLEA MEDICAL

    Course - MLflow

    The quality of the explanations, and the large number of topics covered

    Hugo SECHIER - Expleo France

    Course - Kubeflow on AWS

    Machine Translated

    I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

    Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM

    Course - Kubeflow

    Provisional Upcoming Courses (Contact Us For More Information)

    Kubeflow

    2025-05-19 09:30
    35 hours
    Leuven
    6150 EUR (Online)
    8400 EUR (Classroom)

    Kubeflow

    2025-06-02 09:30
    35 hours
    Leuven
    6150 EUR (Online)
    8400 EUR (Classroom)

    MLflow

    2025-06-10 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

    DeepSeek: Advanced Model Optimization and Deployment

    2025-06-24 09:30
    14 hours
    Leuven
    2550 EUR (Online)
    3450 EUR (Classroom)

    MLOps: CI/CD for Machine Learning

    2025-07-14 09:30
    35 hours
    Leuven
    6150 EUR (Online)
    8400 EUR (Classroom)

    MLflow

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

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    These courses are also available in other countries

    Consulting

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