Mirantis OpenStack for Kubernetes Training Course

This instructor-led, live training in Czech Republic (online or onsite) targets advanced platform engineers and DevOps professionals seeking to master application scaling using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

Kubernetes serves as a widely adopted container orchestration platform for managing distributed applications at scale.

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

Upon completing this program, participants will be equipped to:

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

Course Format

• Instructor-guided technical presentations and in-depth discussions.
• Hands-on lab sessions utilizing real Kubernetes clusters.
• Practical 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.

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

Kubernetes has become the dominant platform for container orchestration.

Since 2015, NobleProg has specialized in delivering Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the world’s leading training providers in the field of containerization.

Since 2019, we have also assisted our clients in validating their expertise in 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 practitioners who wish to validate their knowledge by passing the CKA exam.

Additionally, the course 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.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) credential has been established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led live training (available online or onsite) is designed for Developers who want to validate their ability to design, build, configure, and expose cloud-native applications for Kubernetes.

Furthermore, the training emphasizes gaining practical experience in Kubernetes application development, so we recommend attending 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 world's most recognized training companies in the field of containerization. Since 2019, we have also assisted our customers in verifying their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• 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 training in Czech Republic (online or onsite) is designed for Kubernetes professionals 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 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.

DO180 serves as a foundational guide to containers, the core principles of Kubernetes, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on skill development.

This instructor-led, live training, available in both online and onsite formats, is designed for beginner to intermediate-level technical professionals. It aims to equip participants with the knowledge of container workflows, Kubernetes primitives, and the methods for deploying and operating applications on OpenShift.

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

• Constructing and managing container images and registries, adhering to best practices for security and reproducibility.
• Deploying and administering Kubernetes objects, such as pods, deployments, and services, within the OpenShift environment.
• Leveraging OpenShift features, including routes, buildconfigs, and the web console, to optimize application delivery.
• Implementing persistent storage, configuration management, and secret handling for stateful workloads.
• Applying fundamental security measures, RBAC, and monitoring practices to ensure the health of clusters and applications.

Format of the Course

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Course Customization Options

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

In this instructor-led, live training in Czech Republic, 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 Czech Republic (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.

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

Edge AI represents a paradigm dedicated to executing machine learning inference directly near data sources, thereby ensuring low-latency, efficient, and scalable processing capabilities.

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

Upon completing this course, participants will be able to:

• Configure lightweight Kubernetes distributions suitable 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 to suit real-world edge scenarios.

Course Format

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

Course Customization Options

• For customized training tailored to your specific edge platform requirements, please contact us to arrange.

This instructor-led, live training in Czech Republic (online or onsite) is designed for engineers who wish to use Helm to streamline the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner to intermediate-level software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Establish persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications.

This instructor-led live training (online or on-site) is tailored for intermediate developers and DevOps engineers looking to utilize Minikube within their development workflows.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.