Docker and Kubernetes Training Course

This instructor-led, live training in New Zealand (online or onsite) is designed for advanced-level platform engineers and DevOps professionals seeking 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.
• Utilise Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance within a Kubernetes environment.

Kubernetes is a container orchestration platform widely used for managing distributed applications at scale.

This instructor-led, live training (online or on-site) is aimed at advanced-level practitioners who wish to apply AI and machine learning techniques to optimise Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

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

• Apply AI/ML models to improve workload scheduling decisions in Kubernetes.
• Use predictive analytics to optimise CPU, GPU, and memory allocation.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency through automated resource optimisation.

Course Format

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

Course Customisation Options

• To tailor this course to your platform setup or operational requirements, please contact us for customisation.

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

This instructor-led, live training (online or on-site) is designed for intermediate-level professionals who wish to operationalise ML models reliably on Kubernetes.

Upon completing this training, participants will gain the skills to:

• Containerise and prepare ML models for efficient deployment.
• Serve models using modern inference frameworks.
• Optimise workloads with 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 Customisation Options

• If you need this course tailored to your environment or toolchain, please contact us to discuss customisation options.

This instructor-led, live training in New Zealand (online or on-site) is designed for engineers seeking to optimise 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.
• Grasp how Calico integrates internet routing protocols with consensus-based data stores.
• Use Calico to build a container networking solution for Kubernetes clusters.
• Apply Calico to enforce network policies within Kubernetes.

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

Kubernetes is now a leading platform used for container orchestration.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerisation.

Since 2019, we have also been helping our customers confirm their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

This instructor-led, live training (online or on-site) is aimed at System Administrators and Kubernetes users who wish to confirm their knowledge by passing the CKA exam.

On the other hand, the training is also focused on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you do not intend to take the CKA exam.

Course Format

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request customised 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) programme 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 designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Furthermore, the training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part even if you do not intend to sit the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerisation. Since 2019, we have also been helping our customers confirm their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Course Format

• Interactive lecture and discussion.
• Abundant exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session 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 New Zealand (delivered online or on-site) is designed for Kubernetes practitioners seeking 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 various stages of an application's lifecycle: build, deployment, and runtime.

This seven-day programme offers 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 emphasis 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 provides an introduction to containers, the fundamentals of Kubernetes, and key concepts of the Red Hat OpenShift platform, with a strong emphasis on practical, hands-on skills.

This instructor-led, live training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who wish to master container workflows, understand Kubernetes primitives, and learn 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, applying best practices to ensure reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within the OpenShift environment.
• Utilise OpenShift features, including routes, buildconfigs, and the web console, to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling to support stateful workloads.
• Apply foundational security measures, role-based access control (RBAC), and monitoring practices to maintain healthy clusters and applications.

Course Format

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

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training (delivered online or on-site) is designed for engineers who wish to evaluate each of these services to make an informed decision about which solution best fits their organisation's needs.

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 required to begin development.
• Configure, set up, and deploy a series of demonstration containers using a variety of different approaches.
• Understand the architectural and design differences between 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 New Zealand, 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 containerised applications on-premise, in public cloud or on a hosted cloud.
• Secure Red Hat OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in New Zealand (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 containerised 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 containerised 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 New Zealand (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing 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 New Zealand (online or on-site) 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.

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

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

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into 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.
• Optimise their development processes by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.