Docker and Kubernetes Training Course

This instructor-led, live training in South Korea (available online or onsite) is tailored for advanced-level platform engineers and DevOps professionals who wish 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 leading container orchestration platform, extensively utilized for managing large-scale distributed applications.

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

Upon completing this program, participants will be able to:

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

Course Format

• Instructor-led technical presentations accompanied by in-depth discussions.
• Practical hands-on labs conducted on live Kubernetes clusters.
• Real-world exercises applying AI models to operational scenarios.

Customization Options

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

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

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

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

• Containerizing and preparing ML models for efficient deployment.
• Serving models using contemporary inference frameworks.
• Optimizing workloads through autoscaling, GPU configuration, and resource tuning.
• Implementing model rollout strategies, such as A/B testing and canary deployments.

Format of the Course

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

Course Customization Options

• If you require this course to be tailored to your specific environment or toolchain, please contact us to discuss customization options.

This instructor-led, live training in South Korea (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

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

• Install and configure Calico.
• Understand how Calico differs from traditional overlay networks.
• Understand how Calico combines internet routing protocols with consensus-based data stores.
• Use Calico to create a container networking solution for Kubernetes clusters.
• Use Calico to provide network policy for Kubernetes.

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

Kubernetes has emerged as the leading platform for container orchestration today.

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 companies globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance 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; therefore, we recommend participating even if you do not intend 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 it.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

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

This instructor-led, live training—available either online or on-site—is designed for developers who wish to validate their proficiency in designing, building, configuring, and exposing cloud-native applications within Kubernetes environments.

Moreover, the program emphasizes practical, hands-on experience in Kubernetes application development. Therefore, we recommend participating in this course even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the leading training providers globally in the field of containerization. Since 2019, we have also supported our clients in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD examinations.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.
• For more information about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

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

By the end of this training, participants will be equipped with the skills to secure Kubernetes environments and container-based applications throughout the application lifecycle: build, deployment, and runtime.

This intensive 7-day program offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservice systems, optimize containerized environments, and manage production-grade workloads using Kubernetes. The curriculum spans advanced deployment techniques, GitOps-driven automation, and robust observability frameworks to guarantee system reliability and peak performance.

Emphasis is placed on addressing real-world operational complexities, such as incident response protocols, failure simulation exercises, and root cause analysis. The training culminates with the integration of AI-driven tools to streamline troubleshooting processes and expedite operational decision-making.

Upon completion, participants will possess a thorough understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.

DO180 provides an introduction to containers, Kubernetes basics, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on skills.

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

Upon completing this training, participants will be able to:

• Build and manage container images and registries, following best practices for reproducibility and security.
• Deploy and manage Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leverage OpenShift features like 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.

Course Format

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

Customization Options

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

This instructor-led, live training (available online or onsite) is designed for engineers who want to assess these services to make informed decisions about which solution to deploy within their organization.

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

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

In this instructor-led, live training in South Korea, 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 South Korea (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 South Korea (online or onsite) is designed for engineers looking to use Helm to simplify the installation and management of Kubernetes applications.

Upon completing this training, participants will be able to:

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

This instructor-led, live training in South Korea (online or onsite) is designed for software developers and DevOps professionals at beginner to intermediate levels who wish 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.
• Configure persistent storage and networking solutions for Kubernetes.
• Use Minikube to develop, test, and debug applications.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into 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.