Kubernetes from Basic to Advanced (4 days) Training Course

This instructor-led, live training in Czech Republic (online or onsite) targets advanced platform engineers and DevOps professionals seeking to master application scaling 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 serves as a leading container orchestration platform, widely adopted for managing large-scale distributed applications.

This instructor-led, live training session (available online or onsite) is designed for advanced practitioners seeking to leverage AI and machine learning techniques to enhance Kubernetes resource utilization, scheduling logic, and autoscaling strategies.

Upon completing this program, participants will be equipped to:

• Leverage AI/ML models to refine workload scheduling decisions within Kubernetes.
• Utilize predictive analytics to optimize the allocation of CPU, GPU, and memory resources.
• Deploy intelligent autoscaling solutions driven by reinforcement learning and metric forecasting.
• Minimize infrastructure costs and latency through automated resource optimization.

Course Format

• Instructor-led technical presentations combined with in-depth discussions.
• Hands-on laboratory exercises utilizing actual Kubernetes clusters.
• Practical tasks that apply AI models to realistic operational scenarios.

Customization Options

• For tailored content aligned with your specific platform configuration or operational needs, please contact us to discuss customization.

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

Kubernetes has become the dominant 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 world’s leading training providers in the field of containerization.

Since 2019, we have also assisted our clients in validating their expertise in Kubernetes environments by preparing them to pass the CKA and CKAD exams.

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

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

Course Format

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

Course Customization Options

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

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

Upon completion, participants will be proficient in securing Kubernetes environments and container-based applications throughout the various stages of the application life cycle: build, deployment, and runtime.

This intensive 7-day programme offers a practical, in-depth exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.

Attendees will discover how to architect scalable microservices, refine container environments, and manage production workloads effectively with Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and high performance.

Significant emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The course finishes by leveraging AI-powered tools to aid in troubleshooting and expedite operational decision-making processes.

Upon completion of this training, participants will possess a solid understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.

Learn 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 use OpenShift to streamline modern application delivery in cloud and hybrid environments.

Learn how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will acquire the skills necessary to operate modern container platforms and troubleshoot applications across both development and production environments.

In this instructor-led, live training in Czech Republic (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.

Course Objectives: Acquire theoretical and practical skills in Docker and Kubernetes.

Edge AI represents a modern approach to executing machine learning inference in proximity to data sources, enabling low-latency, highly efficient, and scalable processing capabilities.

This live, instructor-led training session (available online or onsite) is designed for intermediate to advanced professionals seeking to deploy, orchestrate, and fine-tune AI workloads within Kubernetes-based edge environments.

Upon successful completion of this program, participants will be equipped to:

• Implement lightweight Kubernetes distributions specifically suited for edge deployments.
• Effectively distribute AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and establish robust synchronization patterns.
• Refine performance, storage, and networking configurations for practical edge scenarios.

Training Format

• Guided presentations illustrated with real-world case studies.
• Scenario-driven labs and practical exercises focused on edge deployment.
• Practical experience with various Kubernetes edge frameworks.

Customization Possibilities

• For a tailored training program aligned with your specific edge platform requirements, please reach out to us to make arrangements.

This instructor-led, live training in Czech Republic (online or onsite) is designed for engineers who wish to use Helm to streamline the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner to intermediate-level software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Establish persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications.

This instructor-led live training (online or on-site) is tailored for intermediate developers and DevOps engineers looking to utilize Minikube within their development workflows.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.