Whether delivered online or on-site, our instructor-led live training courses on Containers and Virtual Machines (VMs) provide a hands-on approach to mastering both fundamental concepts and advanced topics.
Participants can choose between "online live training" and "onsite live training." Online live sessions, also referred to as "remote live training," utilize an interactive remote desktop environment. Alternatively, onsite live training is available either directly at the client's premises in Prague or at NobleProg's corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This live, instructor-led course in Prague concentrates on the deployment, orchestration, and optimization of AI workloads in Kubernetes-based edge settings. It addresses the setup of lightweight distributions, management of connectivity issues, and performance tuning for constrained nodes. It is particularly suitable for advanced practitioners.
Master AI-driven Kubernetes operations in Prague through hands-on training. Apply ML for intelligent scheduling and autoscaling to enhance resource usage. Lower costs and latency using predictive analytics and reinforcement learning models for real-world workloads.
This live training on Prague empowers intermediate practitioners to develop automated MLOps pipelines on Kubernetes. Participants will learn to design CI/CD workflows, apply GitOps strategies, and deploy ML models via containerized infrastructure, enabling scalable and reproducible machine learning operations.
This hands-on training in Prague provides the essential skills needed to build, train, and serve machine learning models on Kubernetes using Kubeflow. You will learn to navigate the ecosystem, design scalable pipelines, and manage production-ready workloads while adhering to industry best practices.
This live training in Prague focuses on automating Docker-based AI model builds and deployments using CI/CD. It addresses packaging, testing, version control, and deployment strategies for MLOps, enabling participants to develop practical skills in pipeline creation and secure container management.
This instructor-led, live training in Prague (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.
This instructor-led course in Prague focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Learners will develop the skills to build secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
This live Kubernetes training in Prague leads IT professionals through essential concepts and hands-on lab activities. Participants will learn to deploy, scale, and manage containerized applications using kubectl, configure networking and storage, and effectively troubleshoot clusters.
This live, instructor-led training in Prague, offered either online or onsite, targets DevOps engineers and developers who aim to utilize Kubernetes for building, deploying, and managing containers and cluster components in a secure, scalable setting.
By the conclusion of this training, participants will be capable of:
Understanding the architecture, core concepts, and components that make up a Kubernetes ecosystem.
Setting up, installing, and configuring a Kubernetes cluster to handle container orchestration.
Learning how to perform Kubernetes operations using command-line tools.
Gaining hands-on experience ranging from basic to advanced Kubernetes operations and administration.
During this instructor-led training in Prague, technical professionals will learn to construct secure, portable AI inference microservices using Docker. Attendees will acquire practical skills in containerizing models, securing services, and achieving consistent deployments across local, server, or cloud environments.
In this instructor-led, live training Prague (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.
This instructor-led training in Prague equips intermediate professionals with the skills to configure and optimize GPU-enabled AI workloads inside Docker containers. Learners will discover how to build CUDA-compatible images, oversee multi-GPU operations, and deploy scalable deep learning services ready for production environments.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate to advanced developers, DevOps professionals, and architects who aim to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.
By the end of this training, participants will be able to:
Understand and implement microservices architecture.
Deploy and manage containerized applications using Docker and Kubernetes.
Set up and optimize CI/CD pipelines for automated deployments.
Apply best practices for security, monitoring, and observability.
This instructor-led, live training in Prague (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 training on Prague guides professionals in containerizing full ML pipelines using Docker. Learners will master creating reproducible environments, orchestrating training and inference tasks, and implementing CI/CD to achieve scalable MLOps deployments.
This instructor-led course on Prague guides intermediate professionals in containerizing AI and ML workloads via Docker. Learners will master the creation of optimized images, dependency management, and the deployment of reliable pipelines, acquiring practical skills for establishing consistent and portable production environments.
This instructor-led, live training in Prague (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.
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 Prague (online or onsite) is designed for intermediate-level system administrators aiming to effectively deploy, manage, and troubleshoot Hyper-V environments.
Upon completing this training, participants will be able to:
Comprehend virtualization principles and configure Hyper-V.
Create and administer virtual machines, VM storage, and network settings.
Apply advanced Hyper-V features and secure Hyper-V deployments.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.
By the end of this training, participants will be able to:
Develop microservices using Spring Boot and Spring Cloud.
Containerize applications with Docker and Docker Compose.
Implement service discovery, API gateways, and inter-service communication.
Monitor and secure microservices in production environments.
Deploy and orchestrate microservices using Kubernetes.
This instructor-led, live training in Prague (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.
In this instructor-led, live training in Prague (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.
This live, instructor-led training in Prague prepares you for the Certified Kubernetes Administrator (CKA) exam. It delivers hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or practical cluster management skills.
During this instructor-led live training in Prague (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 training in Prague empowers engineers to automate, secure, and monitor large-scale Kubernetes clusters. You will gain skills in deploying multi-environment applications, implementing high-availability strategies, and effectively managing scaling and troubleshooting.
This instructor-led CKAD training in Prague prepares developers for the Certified Kubernetes Application Developer exam through hands-on labs. It covers designing, building, and securing cloud-native apps using core Kubernetes concepts, deployment strategies, and networking fundamentals.
This instructor-led, live course in Prague provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
Gain mastery over Istio on Kubernetes through this instructor-led course in Prague. Acquire skills in installing, configuring, and securing service meshes using mTLS and Zero Trust. Build practical experience in traffic management, observability via Prometheus and Jaeger, and Calico integration to create production-ready microservices.
In this 21-hour training in Prague, we explore the core Kubernetes design patterns essential for microservices. Participants will master foundational, behavioral, structural, and configuration strategies to develop resilient, scalable, and truly cloud-native applications through hands-on live-lab exercises.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (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 Prague (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 instructor-led live training in Prague (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 Prague (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 instructor-led, live training in Prague (online or onsite) is designed for engineers seeking to expand their Docker knowledge. It enables the deployment of applications at a larger scale while retaining control over operations.
By the end of the session, participants will be capable of:
Creating their own Docker images.
Deploying and managing extensive Docker application portfolios.
Evaluating and selecting the best container orchestration solution.
Implementing continuous integration workflows for Docker applications.
Integrating Docker applications into existing continuous integration ecosystems.
Fortifying the security posture of their Docker applications.
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.
Delivered live by an instructor in Prague, this training delves into the core principles of Docker, enabling participants to automate the construction, shipment, and operation of applications within containers. Attendees will develop practical proficiency in Docker installation, image administration, network configuration, and registry management.
This instructor-led, live training in Prague (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.
In this instructor-led live training in Prague, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Knowledge is tested through exercises and the step-by-step development of sample microservices.
By the end of this training, participants will be able to:
Understand the fundamentals of microservices.
Use Docker to build containers for microservice applications.
Build and deploy containerized microservices using Spring Cloud and Docker.
Integrate microservices with discovery services and the Spring Cloud API Gateway.
Use Docker Compose for end-to-end integration testing.
OpenShift is one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.
This hands-on training teaches participants how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants gain the skills needed to confidently manage production-ready OpenShift environments.
Discover how to develop, deploy, and manage containerized applications with OpenShift, a leading Kubernetes-based platform for cloud-native development. This practical training covers application deployment, containers, networking, CI/CD, and DevOps workflows, providing participants with the skills to build and maintain modern applications in production environments.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level virtualization administrators who wish to use open-source platforms to migrate away from VMware.
By the end of this training, participants will be able to:
Install and configure KVM, oVirt, and Proxmox VE.
Migrate virtual workloads from VMware.
Implement high availability and disaster recovery.
Optimize performance in open-source virtualization environments.
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Testimonials (7)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
multi-tiered, structured course programme.
Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker
CI/CD Best Practices (gitflow and gitops), Application strategies, idempotency and drift, remote state management, Pod Disruption Budgets and Best Practices
McKayla Fusco - NSWC Dahlgren Division - DNA
Course - Resilient Architecture: Microservices, Containers, and CI/CD
basic understanding of container/kubernetes and how they interact
features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
Training being interactive. He engaged us a lot by asking questions and imaginary use cases. He shifted away from his agenda to explain more of the things we are demanded.
Berk Ozdilek - Deutsche Bank
Course - Kubernetes Advanced
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
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