Kubernetes Training in Brno

Edge AI represents a paradigm dedicated to executing machine learning inference directly near data sources, thereby ensuring low-latency, efficient, and scalable processing capabilities.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced practitioners looking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be able to:

• Configure 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 to suit real-world edge scenarios.

Course Format

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

Course Customization Options

• For customized training tailored to your specific edge platform requirements, please contact us to arrange.

Kubernetes serves as a widely adopted container orchestration platform for managing distributed applications at scale.

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

Upon completing this program, participants will be equipped to:

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

Course Format

• Instructor-guided technical presentations and in-depth discussions.
• Hands-on lab sessions utilizing real Kubernetes clusters.
• Practical exercises applying AI models to real-world operational scenarios.

Customization Options

• To tailor this course to your specific platform setup or operational needs, please contact us to discuss customization.

MLOps on Kubernetes serves as a framework designed to automate the training, validation, packaging, and deployment of machine learning models through containerized pipelines and GitOps workflows.

This live training, conducted by an instructor (available online or onsite), targets intermediate-level practitioners looking to construct automated and scalable MLOps pipelines on Kubernetes.

Upon completing this training, participants will be able to:

• Architect end-to-end CI/CD pipelines for machine learning.
• Implement GitOps workflows to manage model deployment and versioning.
• Automate the processes of training, testing, and packaging ML models.
• Integrate monitoring, alerting, and rollback strategies.

Format of the Course

• Instructor-led presentations and technical deep dives.
• Hands-on exercises focused on building real-world CI/CD workflows.
• Live-lab practice for deploying ML workloads to Kubernetes.

Course Customization Options

• Organizations may request tailored content that aligns with their internal MLOps tools and infrastructure.

Kubeflow is an open-source platform designed to streamline building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to build reliable ML workflows using Kubeflow.

Upon completion of this training, attendees will gain the skills to:

• Navigate the Kubeflow ecosystem and core components.
• Build reproducible workflows with Kubeflow Pipelines.
• Run scalable training jobs on Kubernetes.
• Serve machine learning models efficiently using Kubeflow Serving.

Format of the Course

• Guided presentations and collaborative discussions.
• Hands-on labs with real Kubeflow components.
• Practical exercises to build end-to-end ML workflows.

Course Customization Options

• Customized versions of this training can be arranged to align with your team’s technology stack and project requirements.

This instructor-led, live training in Brno (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

Kubernetes is an open-source platform designed to automate the deployment, scaling, and management of containerized applications.

This instructor-led, live training (available online or on-site) is tailored for IT professionals at beginner to intermediate levels who want to master the core concepts and components of Kubernetes and utilize it to manage containerized applications at scale.

Upon completing this training, participants will be able to:

• Comprehend the Kubernetes architecture and its components.
• Deploy and manage containers within a Kubernetes cluster.
• Configure networking, storage, and scaling for workloads.
• Troubleshoot common issues and adhere to best practices for cluster operations.

Course Format

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

Customization Options for the Course

• To request customized training for this course, please contact us to arrange it.

This instructor-led, live training in Brno (online or onsite) is designed for DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

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

• Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for container orchestration.
• Learn how to execute Kubernetes operations using the command line tools.
• Get a hands-on experience from basic to advanced Kubernetes operations and administration.

In this instructor-led, live training Brno (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training proceeds to more advanced topics, walking participants through the process of securing, networking, and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy containerized databases and servers.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage different environments under the same cluster.
• Secure, scale and monitor a Kubernetes cluster.

This instructor-led, live training in Brno (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

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

• Understand the Kubernetes architecture and its components.
• Isolate resources effectively using Namespaces.
• Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
• Define computational resources using Requests and Limits.
• Work with Jobs and CronJobs for scheduled tasks.
• Understand Services and DNS within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters using advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in Brno (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.

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.

This instructor-led, live training in Brno (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

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

• Set up a Kubefirst development environment.
• Write and run a basic Kubefirst program.
• Annotate code with Kubefirst directives and clauses.
• Use Kubefirst API and libraries.
• Profile and debug Kubefirst programs.

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.

This instructor-led, live training in Brno (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.

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

In this instructor-led, live training in Brno (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.

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

During this instructor-led live training in Brno (online or on-site), participants will learn how to establish and manage a production-grade container environment using Kubernetes on AKS. 

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

• Configuring and managing Kubernetes on AKS.
• Deploying, managing, and scaling a Kubernetes cluster.
• Deploying containerized (Docker) applications on Azure.
• Migrating an existing Kubernetes environment from on-premise to the AKS cloud.
• Integrating Kubernetes with third-party continuous integration (CI) software.
• Ensuring high availability and disaster recovery in Kubernetes.

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.

This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster.

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

• Use Kubernetes to deploy and manage different environments under the same cluster
• Secure, scale and monitor a Kubernetes cluster

Course Format

• Interactive lecture and discussion
• Lots of exercises and practice
• Hands-on implementation in a live-lab environment

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

The Certified Kubernetes Application Developer (CKAD) credential has been established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led live training (available online or onsite) is designed for Developers who want to validate their ability to design, build, configure, and expose cloud-native applications for Kubernetes.

Furthermore, the training emphasizes gaining practical experience in Kubernetes application development, so we recommend attending even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the world's most recognized training companies in the field of containerization. Since 2019, we have also assisted our customers in verifying their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practice.
• 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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Brno provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Istio is an open-source service mesh designed to operate on Kubernetes, enabling secure, observable, and manageable connectivity among microservices. By utilizing Istio's Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, achieve deep traffic observability, and enhance reliability at scale.

This instructor-led, live training (available online or onsite) targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio on Kubernetes.

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

• Install and configure Istio within Kubernetes clusters.
• Grasp and apply service mesh concepts such as traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh.
• Secure service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico for advanced network policies and security.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• For customized training requests, please contact us to arrange.

The advancement of microservices and container technologies in recent years has fundamentally transformed how software is designed, developed, deployed, and operated. Today's applications need to be optimized for scalability, elasticity, fault tolerance, and adaptability. To meet these evolving demands, modern architectures rely on a distinct set of patterns and best practices. This training explores strategies to identify, comprehend, and adapt to these new requirements.

Target Audience
This course is designed for professionals who have a basic understanding of container technology and Kubernetes concepts but may lack extensive real-world experience. The curriculum is grounded in use cases and lessons learned from practical projects, aiming to inspire participants to build and manage even more effective cloud-native applications.

• Developers
• Operations Staff
• DevOps Engineers
• QA Engineers
• IT Project Managers

Course Format

• Interactive lectures and discussions
• Numerous exercises and hands-on practice
• Practical implementation in a live lab environment

Customization Options

• To request tailored training for this course, please contact us to arrange details.

This instructor-led, live training in Brno (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 Brno (online or onsite) targets DevOps engineers who wish to use Kubernetes and GitLab to automate the DevOps lifecycle.

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

• Automate application builds, tests, and deployments.
• Create an automated build infrastructure.
• Deploy an application to a containerized cloud environment.

This instructor-led, live training in Brno (online or onsite) is designed for Kubernetes professionals aiming 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 instructor-led live training in Brno (online or onsite) targets developers and DevOps engineers who wish to adopt a serverless approach for building enterprise applications on Kubernetes.

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

• Set up and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
• Practice their skill in Python programming language and apply it to implement  serverless systems.
• Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

This instructor-led, live training in Brno (online or onsite) is designed for engineers aiming to secure Kubernetes clusters beyond default settings.

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

• Understand vulnerabilities exposed by default Kubernetes installations.
• Prevent unauthenticated access to the Kubernetes API, database, and other services.
• Protect a Kubernetes cluster from accidental or malicious access.
• Develop a comprehensive security policy and adopt best practices.

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.

This instructor-led, live training in Brno (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.

By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.