Kubernetes Training in Patras

Edge AI refers to the approach of executing machine learning inference close to data sources to enable low-latency, efficient, and scalable processing.

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

Upon completing this course, participants will be able to:

• Set up lightweight Kubernetes distributions suitable for edge deployments.
• Deploy AI inference workloads effectively on constrained edge nodes.
• Address connectivity challenges and implement synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Course Format

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

Course Customization Options

• To request a customized training session tailored to your specific edge platform requirements, please contact us to arrange.

Kubernetes serves as a premier container orchestration platform, extensively utilized for managing distributed applications at scale.

This instructor-led live training, available online or onsite, is designed for advanced practitioners seeking to leverage AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be equipped to:

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

Course Format

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

Customization Options

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

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, targets intermediate-level practitioners aiming to construct automated, scalable MLOps pipelines on Kubernetes.

Upon completion, participants will be capable of:

• Designing end-to-end CI/CD pipelines for machine learning.
• Implementing GitOps workflows for model deployment and versioning.
• Automating the training, testing, and packaging of ML models.
• Integrating 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 Patras (online or onsite) is designed for 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 on-site, is tailored for IT professionals at beginner to intermediate levels who wish to master 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 Kubernetes architecture and its constituent components.
• Deploy and manage containers within a Kubernetes cluster.
• Configure networking, storage, and scaling mechanisms for various workloads.
• Troubleshoot common issues and adhere to best practices for cluster operations.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led live training Patras (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 Patras (onsite or remote), participants will learn how to deploy sample servers within containers and subsequently automate, scale, and manage these services in a Kubernetes cluster. The training covers advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes environment.

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

• Set up and run Docker containers.
• Deploy containerized databases and servers.
• Configure a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage multiple environments within the same cluster.
• Secure, scale, and monitor a Kubernetes cluster.

This instructor-led, live training in Patras (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 Patras (online or onsite) 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.

DO180 provides a foundational overview of containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on learning.

This instructor-led, live training session, available either online or on-site, is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, Kubernetes primitives, and the deployment and operation of applications on OpenShift.

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

• Create and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and oversee Kubernetes resources, including pods, deployments, and services, within OpenShift.
• Utilize OpenShift capabilities such as routes, BuildConfigs, and the web console to accelerate application delivery.
• Establish persistent storage, configuration management, and secret handling mechanisms for stateful workloads.
• Apply fundamental security measures, Role-Based Access Control (RBAC), and monitoring practices 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.

Course Customization Options

• To arrange a customized version of this training, please contact us.

This instructor-led, live training in Patras (online or onsite) is tailored for beginner-level developers who wish to learn the fundamentals of Kubefirst and understand how it streamlines, secures, and accelerates Kubernetes and Swarm cluster management at an enterprise scale.

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

• Set up a Kubefirst development environment.
• Write and execute a basic Kubefirst program.
• Annotate code with Kubefirst directives and clauses.
• Utilize Kubefirst APIs and libraries.
• Profile and debug Kubefirst programs.

This instructor-led, live training in Patras (online or onsite) targets intermediate-level developers and DevOps engineers who intend to use Minikube as part of their development workflow.

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 Patras (online or onsite) targets beginner to intermediate-level developers, system administrators, and DevOps engineers who wish to understand Kubernetes and cloud-native principles.

Upon completion, participants will be able to:

• Establish a development environment integrated with Kubernetes.
• Build microservices applications using Kubernetes.
• Deploy, manage, and scale applications within Kubernetes.
• Troubleshoot common issues in Kubernetes environments.

This instructor-led live training in Patras (online or onsite) is aimed at 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 machines.
• Grasp the fundamental 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, offered in Patras (online or onsite), is aimed at developers and professionals seeking to learn how to leverage Skupper for secure communication in hybrid multi-cloud environments.

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

• Understand the fundamental concepts of Skupper.
• Set up and configure Skupper across multiple namespaces.
• Configure Skupper security settings to facilitate multi-cloud application communication.

Training Objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

In this instructor-led, live training in Patras (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) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Today, Kubernetes stands as a leading platform for container orchestration.

NobleProg has been providing Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have become one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance within 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 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 intend to take the CKA exam.

Course Format

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

Course Customization Options

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

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

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

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

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

This instructor-led live training, available online or onsite, is designed for engineers aiming to automate, secure, and monitor containerized applications within large-scale Kubernetes clusters.

Upon completion, participants will be able to:

• Utilize Kubernetes to deploy and manage multiple environments within a single cluster
• Secure, scale, and monitor a Kubernetes cluster effectively

Course Format

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

Customization Options

• To request a tailored training version of this course, please contact us to make arrangements.

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes.

On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.

NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.

Format of the Course

• 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.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live training session, held in Patras, 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, delivering secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, engineering 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 on Kubernetes clusters.
• Comprehend and apply service mesh concepts, including traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh environment.
• 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 to implement advanced network policies and security measures.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to make arrangements.

The rapid advancement of microservices and container technologies in recent years has fundamentally transformed software design, development, deployment, and operation. Contemporary applications demand optimization for scalability, elasticity, resilience, and adaptability. Responding to these evolving requirements, modern architectures necessitate a distinct set of patterns and best practices. This training explores strategies to identify, comprehend, and adapt to these new demands.

Target Audience
This course is designed for professionals who possess a foundational understanding of container technology and Kubernetes concepts but may lack practical, real-world experience. Drawing on use cases and lessons learned from actual projects, the training aims to inspire participants to build and manage superior cloud-native applications.

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

Course Format

• Interactive lectures and discussions
• Numerous exercises and practical sessions
• Hands-on implementation within a live-lab environment

Course Customization Options

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

This instructor-led, live training in Patras (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing 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 Patras (online or on-site) 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.

In this instructor-led live training in Patras, participants will learn how to establish and manage a production-scale container environment using Kubernetes on Google Cloud.

By the conclusion 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 Patras (online or onsite) is tailored for Kubernetes professionals 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 6]loc> (available online or onsite) is tailored for developers and DevOps engineers who aim to adopt a serverless approach for developing enterprise applications in Kubernetes.

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

• Set up and configure Kubernetes to initiate development using a serverless architecture.
• Grasp the core concepts and principles underpinning serverless environments.
• Manage the toolchains essential for serverless development and integrate them with Kubernetes components.
• Apply their Python programming skills to implement serverless systems.
• Secure enterprise applications deployed via serverless frameworks on Kubernetes.
• Leverage modern cloud computing techniques to optimize DevOps task processing workflows.

This instructor-led, live training in Patras (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings.

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

• Understand the vulnerabilities that are exposed by a default Kubernetes installation.
• Prevent unauthenticated access to the Kubernetes API, database, and other services.
• Protect a Kubernetes cluster from accidental or malicious access.
• Put together a comprehensive security policy and set of best practices.

Upon completion, participants will be able to:

• Create custom Docker images.
• Deploy and manage a high volume of Docker applications.
• Evaluate various container orchestration solutions and select the most appropriate option.
• Establish a continuous integration workflow for Docker applications.
• Integrate Docker applications with existing continuous integration toolchains.
• Implement security measures for Docker applications.
• Leverage Kubernetes to deploy and manage diverse environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster effectively.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This instructor-led, live training in Patras (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 Patras (available online or onsite) is designed for DevOps engineers and developers who want to use Java and Kubernetes (K8s) to create, build, test, debug, and deploy high-performance and scalable applications.

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

• Configure the necessary development environment for building Java applications.
• Gain a clear understanding of Kubernetes features and architecture.
• Learn the core concepts and tools essential for DevOps.
• Review 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 stage of the development lifecycle for containerized applications. Design patterns provide proven, repeatable solutions to common problems in software design, while Kubernetes extensions facilitate the configuration and support of Kubernetes clusters. By leveraging these design patterns and extensions, platform users can implement CI/CD methodologies while preserving the scalability and flexibility of their software applications.

This instructor-led live training, available either online or on-site, is tailored for developers and DevOps engineers aiming to utilize Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

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

• Establishing a Kubernetes cluster and configuring essential DevOps tools.
• Gaining a solid understanding of software design pattern fundamentals and Kubernetes extensions.
• Applying Kubernetes extensions and design patterns when engaging with the Kubernetes API.
• Creating custom Kubernetes resources and deploying dynamic controllers within a cluster.
• Managing and securing Kubernetes environments using Kubernetes plugins.
• Integrating DevOps networking models into current and future Kubernetes projects.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training requests, please contact us to make arrangements.

This instructor-led, live training in Patras (online or onsite) is designed for intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without reliance on cloud services.

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; and set up monitoring and observability using self-hosted solutions.

Upon completion of this professional course, participants will have acquired the knowledge and skills necessary to effectively deploy, 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 in Patras (online or onsite) is designed for DevOps engineers and developers who wish 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 operations tasks (backup, restore, etc.).
• Upgrade OpenStack deployments.

This instructor-led, live training in Patras (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Tekton Pipelines for supporting complex software development workflows and building automated CI/CD pipelines.

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

• Install and configure Tekton Pipelines and other foundational Tekton components.
• Design and create the building blocks of pipelines for software development in Tekton.
• Automate existing pipelines and development processes using Tekton framework concepts and principles.
• Run and manage Tekton Pipelines for various workload types across multiple platforms.
• Implement CI/CD systems based on the Tekton framework to enhance future software development projects.