MLOps on Kubernetes: CI/CD Pipelines for Machine Learning Training Course

This instructor-led, live training in the Netherlands (online or onsite) is designed for 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.

This instructor-led, live training in the Netherlands (online or on-site) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

By the end of this training, participants will be able to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

This instructor-led, live training in the Netherlands (online or onsite) is designed for Kubernetes practitioners seeking to prepare for the CKS exam.

By the end of this program, participants will understand how to protect Kubernetes environments and container-based applications throughout the various stages of an application's life cycle, from build to deployment and runtime.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This instructor-led, live training in the Netherlands (delivered online or on-site) is designed for engineers looking to utilize Helm to simplify the installation and management of Kubernetes applications.

Upon completion of this training, participants will be capable of:

• Installing and configuring Helm.
• Generating reproducible builds for Kubernetes applications.
• Distributing applications as Helm charts.
• Executing third-party applications packaged as Helm charts.
• Administering releases of Helm packages.

This instructor-led live training in the Netherlands (available online or on-site) is designed for developers and data scientists aiming to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this session, participants will be able to:

• Install and configure Kubeflow in both on-premise and cloud environments.
• Develop, deploy, and manage ML workflows using Docker containers and Kubernetes.
• Execute complete machine learning pipelines across various architectures and cloud platforms.
• Utilize Kubeflow to initiate and manage Jupyter notebooks.
• Create ML training, hyperparameter tuning, and serving workloads spanning multiple platforms.

This instructor-led, live training in the Netherlands (online or onsite) targets beginner to intermediate software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

By the end of this training, participants will be able to:

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led live training the Netherlands (online or onsite) targets intermediate-level developers and DevOps engineers eager to integrate Minikube into their development workflows.

By the end of this training, participants will be able to:

• Establish and manage a local Kubernetes environment using Minikube.
• Gain insights into deploying, managing, and troubleshooting applications on Minikube.
• Integrate Minikube seamlessly into continuous integration and deployment pipelines.
• Enhance their development process by leveraging Minikube’s advanced features.
• Adopt best practices for local Kubernetes development.

This instructor-led, live training in the Netherlands (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.