Kubernetes from Basic to Advanced (4 days) Training Course

This instructor-led, live training in Vietnam (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want 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 prominent container orchestration platform, extensively utilized for managing distributed applications on a large scale.

This live training session, led by an expert instructor (available online or in-person), targets advanced practitioners aiming to leverage artificial intelligence and machine learning methods to enhance Kubernetes resource efficiency, scheduling logic, and autoscaling mechanisms.

Upon completing this program, participants will be capable of:

• Utilizing AI/ML models to enhance workload scheduling decisions within Kubernetes.
• Employing predictive analytics to optimize the allocation of CPU, GPU, and memory resources.
• Deploying intelligent autoscaling solutions through reinforcement learning and metric forecasting.
• Lowering infrastructure expenses and latency via automated resource optimization.

Course Format

• Technical presentations and in-depth discussions guided by the instructor.
• Practical lab exercises conducted on live Kubernetes clusters.
• Real-world application of AI models to operational scenarios.

Customization Options

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

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.

Since 2015, NobleProg has been providing Docker & Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as 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 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 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 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.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes.

On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.

NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live training in Vietnam (online or onsite) is targeted at Kubernetes practitioners seeking 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 various stages of an application's lifecycle: build, deployment, and runtime.

This intensive 7-day program offers a practical, immersive experience in designing, deploying, and managing cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservices systems, optimize containerized environments, and handle production workloads with Kubernetes. The curriculum includes advanced deployment tactics, GitOps-driven automation, and observability techniques to guarantee system stability and high performance.

Significant emphasis is placed on navigating real-world operational hurdles, such as incident management, failure testing, and root cause analysis. The program wraps up by introducing AI-driven tools that assist in troubleshooting and speed up operational decision-making processes.

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

Gain a solid understanding of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources, and utilize OpenShift to streamline modern application delivery in cloud and hybrid environments.

In this instructor-led live training in Vietnam, participants will learn how to manage Red Hat OpenShift Container Platform.

Upon completing this training, participants will be able to:

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications in on-premises environments, public clouds, or hosted cloud infrastructure.
• Secure the OpenShift Container Platform
• Monitor systems and collect metrics.
• Manage storage solutions.

This instructor-led, live training in Vietnam (onsite or remote) teaches participants how to create and manage Docker containers, followed by deploying a sample application within one. Participants will also learn how to automate, scale, and manage containerized applications inside a Kubernetes cluster. Finally, the training advances to more complex topics, guiding participants through the processes 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.

Training objectives: Gain theoretical and practical skills in Docker and Kubernetes.

Edge AI focuses on executing machine learning inference near data sources to enable low-latency, efficient, and scalable processing.

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

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

• Configure lightweight Kubernetes distributions for edge deployments.
• Effectively deploy AI inference workloads across constrained edge nodes.
• Address connectivity challenges and implement synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Course Format

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

Customization Options

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

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

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

• Install and configure Helm.
• Build reproducible Kubernetes application deployments.
• Distribute applications as Helm charts.
• Deploy third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Vietnam (online or onsite) targets 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 fundamental 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 Vietnam (online or onsite) is designed for intermediate developers and DevOps engineers looking to adopt Minikube within 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.