Kubernetes Design Patterns Training Course

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.

Kubernetes is a widely adopted container orchestration platform designed for managing large-scale distributed applications.

This instructor-led live training (available online or onsite) targets advanced practitioners looking to leverage AI and machine learning techniques to optimize resource usage, scheduling decisions, and autoscaling strategies within Kubernetes.

Upon completing this program, participants will be able to:

• Utilize AI/ML models to enhance workload scheduling efficiency in Kubernetes.
• Apply predictive analytics to refine CPU, GPU, and memory allocation.
• Deploy intelligent autoscaling mechanisms using reinforcement learning and metric forecasting.
• Lower infrastructure costs and reduce latency through automated resource optimization.

Course Format

• Instructor-led technical presentations coupled with in-depth discussions.
• Practical lab exercises conducted on real Kubernetes clusters.
• Hands-on exercises that apply AI models to genuine operational scenarios.

Customization Options

• To adapt this course to your specific platform configuration or operational needs, please contact us for customization details.

The Certified Kubernetes Administrator (CKA) credential was established by The Linux Foundation in partnership with the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as the leading platform for container orchestration.

Since 2015, NobleProg has specialized in delivering Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the globally recognized leaders in containerization education.

Since 2019, we have further supported our customers by helping them validate their expertise in Kubernetes environments through rigorous preparation for the CKA and CKAD examinations.

This instructor-led live training (available online or onsite) is designed for System Administrators and Kubernetes practitioners seeking to validate their skills by passing the CKA exam.

Additionally, the course emphasizes gaining practical experience in Kubernetes administration. Therefore, we recommend participating even if you do not plan to sit for the CKA exam.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange details.
• For more information about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) certification is administered by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led live training (available online or on-site) is designed for developers seeking to validate their expertise in designing, building, configuring, and exposing cloud-native applications on Kubernetes.

Additionally, the course emphasizes practical experience in Kubernetes application development. We recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successful training projects completed, we have become one of the most recognized training providers globally in the field of containerization. Since 2019, we have also helped our customers validate their performance in k8s environments by preparing them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

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

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

This 7-day programme offers an extensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Participants will learn to construct scalable microservices architectures, optimize container environments, and manage production workloads using Kubernetes. The curriculum includes advanced deployment strategies, GitOps-driven automation, and observability techniques to guarantee system reliability and performance.

Significant attention is given to practical operational challenges, such as incident response, failure simulation, and root cause analysis. The programme finishes by demonstrating how AI-powered tools can assist in troubleshooting and expedite operational decision-making.

Upon completion of the training, participants will possess a solid grasp of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based ecosystem.

Master the fundamentals of containers, Kubernetes, and OpenShift in a practical, hands-on training designed for developers, DevOps engineers, and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources, and utilize OpenShift to streamline modern application delivery in cloud and hybrid environments.

In this instructor-led, live training in the Netherlands, participants will learn how to manage the Red Hat OpenShift Container Platform.

Upon completion of this training, participants will be able to:

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerised applications on-premise, in a public cloud, or on a hosted cloud.
• Secure the OpenShift Container Platform.
• Monitor performance and gather metrics.
• Manage storage resources.

In this instructor-led live training in the Netherlands (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

Training objectives: Acquire theoretical and practical skills in Docker and Kubernetes.

Edge AI represents a paradigm focused on executing machine learning inference near data sources to deliver low-latency, efficient, and scalable processing.

This instructor-led, live training (available online or onsite) targets intermediate to advanced practitioners who aim to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be equipped to:

• Establish lightweight Kubernetes distributions suitable for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and implement synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Course Format

• Guided presentations enriched with real-world examples.
• Scenario-based labs and practical exercises for edge deployment.
• Hands-on experience working with Kubernetes edge frameworks.

Customization Options

• To request training customized to your specific edge platform requirements, please contact us to make arrangements.

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 (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.