Kubernetes Training in Östergötland

Edge AI focuses on performing machine learning inference close to the source of data, enabling low-latency, efficient, and scalable processing.

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

Upon completing this course, participants will be able to:

• Establish lightweight Kubernetes distributions tailored 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 for practical edge scenarios.

Course Format

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

Course Customization Options

• For customized training aligned with your specific edge platform requirements, please contact us to arrange a session.

Kubernetes is a widely adopted container orchestration platform designed for managing distributed applications at scale.

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

Upon completing this program, participants will be capable of:

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

Course Format

• Instructor-guided technical presentations alongside deep-dive discussions.
• Practical lab work conducted on real Kubernetes clusters.
• Hands-on 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 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 looking to build automated, scalable MLOps pipelines on Kubernetes.

Upon completing 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 that build real-world CI/CD workflows.
• Live-lab practice 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 engineered to simplify the process of constructing, training, and deploying machine learning workloads on Kubernetes.

This instructor-led live training (available online or onsite) targets beginner to intermediate-level professionals aiming to establish robust ML workflows using Kubeflow.

After completing this training, participants will acquire the ability to:

• Navigate the Kubeflow ecosystem and its core components.
• Create reproducible workflows utilizing Kubeflow Pipelines.
• Execute scalable training jobs on Kubernetes.
• Deploy machine learning models efficiently via Kubeflow Serving.

Course Format

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

Course Customization Options

• Tailored versions of this training can be organized to match your team’s technology stack and specific project requirements.

This instructor-led, live training in Östergötland (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 onsite) is designed for beginner to intermediate IT professionals who want to learn the core concepts and components of Kubernetes and use it to manage containerized applications at scale.

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

• Understand Kubernetes architecture and components.
• Deploy and manage containers in a Kubernetes cluster.
• Configure networking, storage, and scaling for workloads.
• Troubleshoot common issues and follow best practices for cluster operations.

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

This instructor-led live training in Östergötland (available online or on-site) is designed for DevOps engineers and developers who wish to leverage 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 Östergötland (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.
• Secure, scale and monitor a Kubernetes cluster.

This instructor-led, live training in Östergötland (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 Östergötland (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.

Master the basics of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Attendees will learn how to construct containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to streamline modern application delivery across cloud and hybrid environments.

This instructor-led live training in Östergötland (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 in Östergötland (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of their development workflow.

By the end 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 guided, live training in Östergötland (online or onsite) is tailored for software developers and DevOps practitioners at beginner to intermediate levels 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 workstation.
• Grasp the fundamental concepts and architectural structure of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Leverage Minikube to develop, test, and debug applications effectively.

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

In this instructor-led, live training in Östergötland (onsite or remote), attendees will learn to create and manage Docker containers, then deploy a sample application within a container. Participants will also learn to automate, scale, and manage their containerized applications within a Kubernetes cluster. Additionally, the training covers advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

Upon completing this training, participants will be capable of:

• Establishing and executing a Docker container.
• Deploying a containerized server and web application.
• Constructing and administering Docker images.
• Setting up a Docker and Kubernetes cluster.
• Utilizing Kubernetes to deploy and manage a clustered web application.
• Securing, scaling, and monitoring a Kubernetes cluster.

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

Kubernetes has become a leading platform for container orchestration.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as 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 skills in Kubernetes environments by preparing them and encouraging 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, so we recommend attending even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Extensive 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 CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led, live training in Östergötland (online or onsite), attendees 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-premises 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 necessary skills to operate modern container platforms and troubleshoot applications across both development and production environments.

This instructor-led live training, available online or on-site, is designed for engineers looking to automate, secure, and monitor containerized applications within a large-scale Kubernetes environment.

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

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

Course Format

• Interactive lectures and discussions
• Numerous exercises and practice sessions
• Practical implementation in a live laboratory environment

Customization Options

• For a customized training version of this course, please contact us to arrange it.

The Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization responsible for hosting Kubernetes.

This instructor-led live training, available online or at your location, is designed for developers who want to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

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

NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successful training projects completed, we have become one of the most recognized training providers 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.

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

This instructor-led, live course in Östergötland 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 for Kubernetes environments, enabling secure, observable, and manageable connections between microservices. By utilizing Istio’s Envoy-based sidecar proxies, engineering teams can enforce policies, secure communications via mTLS, gain comprehensive visibility into traffic patterns, 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 on Kubernetes using Istio.

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

• Install and configure Istio within Kubernetes clusters.
• Comprehend and apply core service mesh concepts such as traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh infrastructure.
• 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 group discussions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For a tailored training experience, please reach out to us to make arrangements.

The recent advancement of microservices and containers has fundamentally transformed the way we design, develop, deploy, and operate software. Today's applications must be engineered for scalability, elasticity, resilience against failures, and adaptability to change. These evolving demands necessitate a new set of architectural patterns and practices. This training explores methods to identify, comprehend, and adapt to these modern requirements.

Audience
This course is designed for individuals who possess a foundational knowledge of container technology and Kubernetes concepts but may lack extensive practical experience. Drawing on use cases and lessons learned from real-world projects, the training aims to inspire participants to create and manage high-quality cloud-native applications.

• Developers
• Operations staff
• DevOps professionals
• QA Engineers
• IT Project Managers

Course Format

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

Course Customization Options

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

This instructor-led, live training in Östergötland (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 Östergötland (online or onsite) is aimed at 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 Östergötland (online or onsite) targets 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 (available 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 Sweden (English), available online or on-site, is tailored for engineers seeking to enhance Kubernetes cluster security beyond default settings.

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

• Identify vulnerabilities inherent in a standard Kubernetes installation.
• Block unauthenticated access to the Kubernetes API, databases, and other critical services.
• Safeguard Kubernetes clusters against both accidental and malicious intrusions.
• Develop a comprehensive security policy alongside industry best practices.

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 Östergötland (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.