Docker and Kubernetes Training Course

This instructor-led, live training in Taiwan (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.

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

This instructor-led live training (available online or onsite) targets 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 able 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 through reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency via automated resource optimization.

Course Format

• Instructor-guided technical presentations and in-depth discussions.
• Hands-on lab exercises using real Kubernetes clusters.
• Practical exercises applying AI models to real-world operational scenarios.

Course Customization Options

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

Kubernetes serves as a scalable platform for the deployment, serving, and management of machine learning models within production environments.

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

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

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

Format of the Course

• Blended lecture, architectural analysis, and guided discussion.
• Extensive practical exercises with real-world deployment scenarios.
• Hands-on implementation using a live Kubernetes environment.

Course Customization Options

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

This instructor-led live training in Taiwan (online or onsite) targets engineers aiming to optimize networking for Kubernetes clusters.

Upon completion, participants will be able to:

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

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

Kubernetes has emerged as a leading platform for container orchestration.

NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most renowned training providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance in k8s environments by preparing them for 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 participating even if you do not intend to take the CKA exam.

Course Format

• Interactive lecture and discussion.
• 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

The Certified Kubernetes Application Developer (CKAD) credential was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the governing body for 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 on Kubernetes.

Additionally, the training emphasizes practical experience in Kubernetes application development, so we highly 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 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization. Since 2019, we have also helped our customers validate their performance in Kubernetes environments by preparing and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice.
• Hands-on implementation in a live laboratory 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 Taiwan (online or onsite) is intended for Kubernetes professionals who wish to prepare for the CKS exam.

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

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

Participants will learn to architect scalable microservices, optimize container environments, and manage production workloads using Kubernetes. The curriculum spans advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system reliability and high performance.

A significant emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The programme concludes by integrating AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making.

Upon completion, participants will possess a clear understanding of how to build, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.

DO180 serves as an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on developing hands-on skills.

This instructor-led, live training, available online or on-site, is designed for beginner to intermediate technical professionals seeking to understand container workflows, Kubernetes primitives, and the methods for deploying and operating applications on OpenShift.

Upon completing this training, participants will be capable of:

• Building and managing container images and registries, adhering to best practices for reproducibility and security.
• Deploying and managing Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leveraging OpenShift features, including routes, build configurations, and the web console, to streamline application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Course Format

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

Course Customization Options

• For those requesting customized training for this course, please contact us to arrange details.

This instructor-led live training, available online or onsite, is aimed at 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 that includes all needed libraries, packages, and frameworks to start developing.
• Set up, configure, and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker and 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 Taiwan, 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.

Through this instructor-led, live training in Taiwan (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within one. Attendees will also gain skills in automating, scaling, and managing containerized applications using a Kubernetes cluster. The training concludes with advanced topics, guiding participants through the processes of securing, scaling, and monitoring a Kubernetes cluster.

Upon completing this training, participants will be able to:

• Set up and operate a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Configure a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage a clustered web application.
• Secure, scale, and monitor a Kubernetes cluster.

This instructor-led, live training in Taiwan (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.
• Create reproducible builds of Kubernetes applications.
• Distribute applications as Helm charts.
• Run third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

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

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

• Install and configure Minikube on their local machine.
• Understand the basic 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 in Taiwan (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.