Online or onsite, instructor-led live Kubernetes training courses demonstrate through interactive discussion and hands-on practice how to deploy, manage and scale containerized applications in a clustered environment.
Kubernetes training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Kubernetes training can be carried out locally on customer premises in Dobrogea or in NobleProg corporate training centers in Dobrogea.
Kubernetes training courses cover container basic and advanced container networking, administration and development and demonstrate real-world use cases, including the microservice development.
NobleProg -- Your Local Training Provider
Constanta, Mircea cel Batran Street
NobleProg Constanta, Str. Mircea cel Batran, Constanta, romania, 900658
The building is situated in the central part of the city with view to the Black Sea. The hotel contains three conference rooms fully equipped for training, meetings and conferences. Just a quick walk and you can relax on the beach after a full day in the conference center.
Edge AI represents a paradigm that focuses on executing machine learning inference in close proximity to data sources, thereby enabling low-latency, efficient, and scalable processing.
This instructor-led live training (available online or onsite) is designed for intermediate to advanced practitioners who aim to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.
Upon completion of this course, participants will be equipped to:
Establish lightweight Kubernetes distributions suitable for edge deployments.
Effectively deploy AI inference workloads across constrained edge nodes.
Address connectivity challenges and implement synchronization patterns.
Optimize performance, storage, and networking for practical edge scenarios.
Format of the Course
Guided presentations supported by real-world examples.
Scenario-based labs and practical edge deployment exercises.
Hands-on experience with Kubernetes edge frameworks.
Course Customization Options
To request 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 large-scale distributed applications.
This instructor-led, live training (available online or onsite) targets advanced practitioners seeking to leverage AI and machine learning techniques to enhance Kubernetes resource usage, refine scheduling decisions, and improve autoscaling strategies.
Upon completing this program, participants will be equipped to:
Deploy AI/ML models to enhance workload scheduling within Kubernetes.
Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
Implement intelligent autoscaling through reinforcement learning and metric forecasting.
Lower infrastructure costs and latency via automated resource optimization.
Course Format
Instructor-led technical presentations accompanied by in-depth discussions.
Practical lab sessions using real-world Kubernetes clusters.
Hands-on exercises applying AI models to actual operational scenarios.
Customization Options
To customize this course for your specific platform setup or operational needs, please contact us.
MLOps on Kubernetes provides a framework for automating the training, validation, packaging, and deployment of machine learning models through containerized pipelines and GitOps workflows.
This instructor-led, live training (available online or onsite) is designed for intermediate-level practitioners seeking to build automated, scalable MLOps pipelines on Kubernetes.
Upon completion of this training, participants will be able to:
Design end-to-end CI/CD pipelines for machine learning.
Implement GitOps workflows for model deployment and versioning.
Automate the training, testing, and packaging of ML models.
Integrate monitoring, alerting, and rollback strategies.
Course Format
Instructor-guided 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 aligned 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 Dobrogea (online or onsite) targets advanced-level Kubernetes administrators and DevOps engineers who want to improve 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 onsite) is designed for IT professionals ranging from beginner to intermediate levels who wish to understand the core concepts and components of Kubernetes and leverage it to manage containerized applications at scale.
Upon completion of this training, participants will be able to:
Comprehend the architecture and components of Kubernetes.
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 practical application.
Hands-on implementation in a live-lab environment.
Course Customization Options
To arrange a customized training session for this course, please contact us.
This instructor-led live training in Dobrogea (available online or on-site) is designed for DevOps engineers and developers who wish to utilize 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 in Dobrogea (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 goes on 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, live training in Dobrogea (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 Dobrogea (available online or onsite) is designed for advanced platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.
Upon completion of this training, participants will be able to:
Design and implement scalable microservices architectures.
Deploy and manage applications within Kubernetes clusters.
Utilize Helm charts for efficient service deployment.
Monitor and maintain the health of microservices in production environments.
Apply best practices for security and compliance in a Kubernetes environment.
This course provides a foundational understanding of containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on experience.
Delivered as live, instructor-led training (available either online or on-site), this program targets technical professionals at beginner to intermediate levels who aim to master container workflows, Kubernetes building blocks, and the deployment and operation of applications within OpenShift.
Upon completion of this training, participants will be equipped to:
Construct and manage container images and registries following best practices for reproducibility and security.
Deploy and administer Kubernetes resources, including pods, deployments, and services, within OpenShift.
Leverage OpenShift capabilities such as routes, build configurations, and the web console to accelerate application delivery.
Establish persistent storage, configuration management, and secret handling for stateful applications.
Apply fundamental security protocols, RBAC, and monitoring techniques to ensure cluster and application health.
Course Format
Interactive lectures and discussions.
Daily hands-on labs conducted in a live OpenShift environment.
Scenario-based exercises and troubleshooting workshops.
Customization Options
For inquiries regarding customized training for this course, please contact us to arrange details.
This instructor-led live training in Dobrogea (online or onsite) is designed for beginner-level developers seeking to learn the fundamentals of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at an enterprise scale.
By the conclusion 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 in Dobrogea (online or onsite) is designed for intermediate-level developers and DevOps engineers looking to incorporate Minikube into their development workflows.
Upon completion of this training, participants will be able to:
Set up and manage a local Kubernetes environment using Minikube.
Gain an understanding of how to deploy, manage, and debug applications on Minikube.
Integrate Minikube into continuous integration and deployment pipelines.
Optimize their development process by leveraging Minikube's advanced features.
Apply best practices for local Kubernetes development.
This instructor-led, live training in Dobrogea (online or onsite) is designed for beginner to intermediate-level developers, system administrators, and DevOps engineers who want to master Kubernetes and cloud-native principles.
Upon completion of this training, participants will be able to:
Establish a development environment that includes Kubernetes.
Build a microservices application using Kubernetes.
Deploy, manage, and scale applications within Kubernetes.
Troubleshoot common issues in Kubernetes environments.
This instructor-led, live training in Dobrogea (online or onsite) is designed for 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 in Dobrogea (online or onsite) is aimed at developers or anyone who wishes to learn how to use Skupper to create secure communication within a hybrid multi-cloud environment.
By the end of this training, participants will be able to:
Learn and understand the fundamentals of Skupper.
Setup and configure Supper in multiple namespaces.
Configure Skupper security and allow multi-cloud communication for applications.
In this instructor-led, live training in Dobrogea (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.
The Certified Kubernetes Administrator (CKA) certification was established by The Linux Foundation in collaboration with the Cloud Native Computing Foundation (CNCF).
Kubernetes has emerged as the premier platform for container orchestration.
Since 2015, NobleProg has specialized in Docker and Kubernetes training. With over 360 successfully delivered training projects, we have become one of the world’s most recognized training providers in the field of containerization.
Since 2019, we have further supported our customers by preparing them to validate their performance in Kubernetes environments through the CKA and CKAD exams.
This instructor-led, live training (available online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.
Additionally, the training 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 it.
For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
In this instructor-led, live training in Dobrogea (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
Configure and manage Kubernetes on AKS.
Deploy, manage and scale a Kubernetes cluster.
Deploy containerized (Docker) applications on Azure.
Migrate an existing Kubernetes environment from on-premise to AKS cloud.
Integrate Kubernetes with third-party continuous integration (CI) software.
Ensure high availability and disaster recovery in Kubernetes.
This instructor-led, live training (available online or on-site) is designed for engineers who want to automate, secure, and monitor containerized applications within large-scale Kubernetes clusters.
Upon completion of this training, participants will be capable of:
Deploying and managing diverse environments within a single Kubernetes cluster
Securing, scaling, and monitoring a Kubernetes cluster
Course Format
Interactive lectures and discussions
Numerous 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.
The Certified Kubernetes Application Developer (CKAD) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.
This instructor-led live training (available online or onsite) targets developers who wish to validate their ability to design, build, configure, and expose cloud-native applications on Kubernetes.
Additionally, the training emphasizes gaining practical experience in Kubernetes application development, so we encourage participation even if you do not plan to take the CKAD exam.
NobleProg has delivered Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization. Since 2019, we have also assisted our customers in validating their performance in Kubernetes environments by preparing and encouraging them to pass the CKA and CKAD exams.
Format of the Course
Interactive lecture and discussion.
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 Dobrogea 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 run on Kubernetes, enabling secure, observable, and manageable communication between microservices. By utilizing Istio’s Envoy-based sidecar proxies, development 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 on-site, targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within Kubernetes environments.
Upon completion of this training, participants will be capable of:
Installing and configuring Istio on Kubernetes clusters.
Understanding and applying service mesh concepts such as traffic management, security, and observability.
Deploying microservices applications within an Istio service mesh.
Securing service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
Monitoring, tracing, and troubleshooting microservices with Prometheus, Grafana, and Jaeger.
Integrating Istio with Calico for advanced network policies and enhanced security.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical activities.
Hands-on implementation within a live-lab environment.
Customization Options
To arrange a customized training session for this course, please contact us.
The rapid advancement of microservices and container technologies in recent years has fundamentally transformed how we design, develop, deploy, and operate software. Today's applications must be engineered to excel in scalability, elasticity, resilience, and adaptability. Addressing these modern challenges necessitates a fresh set of architectural patterns and best practices. This training explores methods to identify, comprehend, and adapt to these evolving requirements.
Audience
This course is designed for professionals who possess a foundational understanding of container technology and Kubernetes concepts but may lack extensive practical experience. Drawing from real-world use cases and lessons learned from live projects, the curriculum aims to inspire participants to design and manage superior cloud-native applications.
Developers
Operations staff
DevOps engineers
QA Engineers
IT Project Managers
Course Format
Interactive lectures and discussions
Extensive exercises and practical sessions
Hands-on implementation within a live-lab environment
Customization Options
To arrange a customized training session for this course, please contact us.
This instructor-led, live training in Dobrogea (online or onsite) is designed for engineers looking to leverage Helm to streamline the installation and management of Kubernetes applications.
Upon completion 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 Dobrogea (online or onsite) targets DevOps engineers who aim to use Kubernetes and GitLab to automate their 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.
In this instructor-led live training in Dobrogea, attendees will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.
By the end of this training, participants will be able to:
Configure and manage Kubernetes on Google Cloud.
Deploy, manage and scale a Kubernetes cluster.
Deploy containerized (Docker) applications on Google Cloud.
Migrate an existing Kubernetes environment from on-premise to Google Cloud.
Integrate Kubernetes with third-party continuous integration (CI) software.
Ensure high availability and disaster recovery in Kubernetes.
This instructor-led, live training in Dobrogea (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 instructor-led live training in Dobrogea (online or onsite) is designed for developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in 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 Dobrogea (online or onsite) is tailored for engineers who wish to enhance the security of their Kubernetes cluster beyond the default security settings.
By the end of this training, participants will be able to:
Identify vulnerabilities exposed by a standard Kubernetes installation.
Prevent unauthenticated access to the Kubernetes API, database, and other critical services.
Protect the cluster from both accidental and malicious intrusions.
Develop a comprehensive security policy along with a set of best practices.
This intensive 7-day program offers a comprehensive, practical exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.
Attendees will delve into the creation of scalable microservices architectures, the optimization of containerized environments, and the management of production workloads via Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and optimal performance.
Significant emphasis is placed on addressing real-world operational challenges, including incident response protocols, failure simulation exercises, and root cause analysis. The program concludes by integrating AI-powered tools to facilitate troubleshooting and expedite operational decision-making processes.
Upon completion, participants will possess a robust understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.
This instructor-led live training in Dobrogea (online or onsite) is aimed at DevOps engineers and developers who wish to use Fedora CoreOS to reduce the maintenance and upgrade costs of running containerized applications on Kubernetes.
By the end of this training, participants will be able to:
Install and configure Fedora CoreOS.
Set up Kubernetes cluster on Fedora CoreOS.
Run and manage Kubernetes deployments on Fedora CoreOS.
Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.
This instructor-led, live training Dobrogea (online or onsite) is designed for DevOps engineers and developers who wish to utilize Java and Kubernetes (K8s) to create, build, test, debug, and deploy high-performance and scalable applications.
By the end of this training, participants will be able to:
Set up the required development environment to build Java applications.
Understand the features and architecture of Kubernetes.
Learn about the key concepts and tools for DevOps.
Get a refresher on Java programming fundamentals.
Containerize Java microservices using Docker.
Build, scale, and deploy Java applications on Kubernetes.
Kubernetes serves as an open-source platform designed to automate every phase of the development lifecycle for containerized applications. Design patterns offer proven, iterative solutions to common challenges in software development and architecture. Meanwhile, Kubernetes extensions are instrumental in configuring and supporting the robust operation of Kubernetes clusters. By leveraging these design patterns and extensions, platform users can implement Continuous Integration and Continuous Deployment (CI/CD) practices while preserving the scalability and flexibility of their software applications.
This instructor-led live training, available either online or onsite, is tailored for developers and DevOps engineers looking to harness Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.
Upon completion of this training, participants will be capable of:
Provisioning a Kubernetes cluster and configuring essential DevOps tools.
Gaining a solid understanding of the core concepts behind software design patterns and Kubernetes extensions.
Effectively applying Kubernetes extensions and design patterns when working with the Kubernetes API.
Creating custom Kubernetes resources and deploying dynamic controllers across a cluster.
Securing and managing any Kubernetes environment using Kubernetes plugins.
Integrating DevOps networking models into both current and future Kubernetes initiatives.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practical application.
Hands-on implementation within a live lab environment.
Course Customization Options
To request a customized training session for this course, please contact us to arrange.
This instructor-led, live training in Dobrogea (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.
By the end of this professional course, participants will have acquired the knowledge and skills necessary to effectively implement, manage, and scale the Kuma service mesh within Kubernetes environments. They will be able to implement advanced traffic routing, observability, and security features to optimize the performance and reliability of their microservices-based applications.
This instructor-led live training, available Dobrogea (online or on-site), is tailored for DevOps engineers and developers seeking to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.
By the end of this training, participants will be able to:
Deploy, configure, and manage MOS and its components.
Access OpenStack APIs.
Perform common OpenStack operational tasks (backup, restore, etc.).
Upgrade OpenStack deployments.
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Testimonials (4)
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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