Docker and Kubernetes Training Course

This instructor-led, live training in Norway (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want to master application scaling using microservices and Kubernetes.

Upon completion 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.

Kubernetes serves as a leading container orchestration platform, extensively utilized for managing distributed applications on a large scale.

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

Upon completing this program, participants will be equipped to:

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

Course Format

• Instructor-guided technical presentations alongside in-depth discussions.
• Practical lab sessions utilizing real Kubernetes clusters.
• Applied exercises that integrate AI models into real-world operational scenarios.

Customization Options

• To adapt this course to your specific platform setup or operational needs, please reach out to us for customization.

Kubernetes serves as a robust, scalable platform for deploying, serving, and managing machine learning models within production environments.

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals seeking to reliably operationalize ML models on Kubernetes.

Upon completing this training, participants will acquire the following capabilities:

• Containerize and ready ML models for efficient deployment.
• Serve models utilizing modern inference frameworks.
• Optimize workloads through autoscaling, GPU configuration, and resource tuning.
• Implement model rollout strategies, including A/B testing and canary deployments.

Course Format

• A blend of lectures, architectural analysis, and guided discussion.
• Extensive practical exercises based on real-world deployment scenarios.
• Hands-on implementation within a live Kubernetes environment.

Course Customization Options

• For courses tailored to your specific environment or toolchain, please contact us to discuss customization possibilities.

This instructor-led live training, held in Norway (online or onsite), is designed for engineers aiming to optimize the networking infrastructure of Kubernetes clusters.

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

• Install and configure Calico.
• Comprehend the distinctions between Calico and traditional overlay networks.
• Understand how Calico merges internet routing protocols with consensus-based data stores.
• Develop a container networking solution for Kubernetes clusters using Calico.
• Implement network policies for Kubernetes using Calico.

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

Kubernetes has emerged as the leading platform for container orchestration.

NobleProg has provided Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the world's most renowned training providers in the field of containerization.

Since 2019, we have been assisting our customers in validating their expertise in Kubernetes environments by preparing them to take and 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 emphasizes 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

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

This instructor-led live training (available online or on-site) targets developers who want to validate their expertise in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

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

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

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

This instructor-led, live training in Norway (online or onsite) is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

This seven-day programme offers an in-depth, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Participants will investigate techniques for architecting scalable microservices, refining containerized environments, and handling production workloads with Kubernetes. The curriculum addresses advanced deployment tactics, GitOps-driven automation, and observability standards to guarantee system stability and performance.

There is a significant emphasis on tackling real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme wraps up by demonstrating how AI-driven tools can assist in troubleshooting and expedite operational decision-making.

Upon completion, participants will possess a thorough understanding of constructing, deploying, monitoring, and maintaining robust distributed systems within a Kubernetes ecosystem.

DO180 provides an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts with a focus on practical skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate technical professionals who want to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

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

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

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

This instructor-led live training, offered online or on-site, is designed for engineers who wish to evaluate each of these services to make informed decisions about which to deploy within their organization.

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

• Set up a development environment containing all necessary libraries, packages, and frameworks required to start developing.
• Set up, configure, and deploy a series of demo containers using a variety of different approaches.
• Understand the architectural and design differences among various Docker and Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Establish a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

In this instructor-led, live training in Norway, 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 containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

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

This instructor-led, live training in Norway (online or onsite) is designed for engineers who want to leverage Helm to simplify the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Generate reproducible builds of Kubernetes applications.
• Distribute applications using Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led live training in Norway (online or onsite) targets beginner to intermediate software developers and DevOps professionals who wish to learn how to establish and manage a local Kubernetes environment using Minikube.

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

• Installing and configuring Minikube on their local workstation.
• Gaining a solid understanding of Kubernetes' core concepts and architecture.
• Deploying and managing containers via kubectl and the Minikube dashboard.
• Implementing persistent storage and networking solutions for Kubernetes.
• Leveraging Minikube for application development, testing, and debugging.

This instructor-led, live training in Norway (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.