Creating a Service Mesh with Istio and Kubernetes Training Course

This instructor-led, live training in Australia (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want 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 leading container orchestration platform, extensively utilised for managing distributed applications at scale.

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

Upon completing this program, participants will be equipped to:

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

Course Format

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

Course Customisation Options

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

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

Kubernetes has now become a leading platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the most well-known training providers globally in the field of containerisation.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them and encouraging them to sit for the CKA and CKAD examinations.

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.

Furthermore, 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.

Format of the Course

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

Course Customization Options

• To request a customized training course, please contact us to make arrangements.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) programme was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the stewards of Kubernetes.

This instructor-led, live training (available online or on-site) is designed for developers looking to validate their skills in designing, building, configuring, and exposing cloud-native applications on Kubernetes.

Furthermore, the training emphasises gaining practical experience in Kubernetes application development. We recommend attending, even if you do not currently plan to sit for the CKAD exam.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognised training providers globally in the field of containerisation. Since 2019, we have also been assisting our customers in demonstrating their proficiency in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

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

Course Customisation Options

• To request bespoke 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 Australia (online or onsite) is aimed at Kubernetes practitioners who wish 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 seven-day programme offers an immersive, hands-on exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.

Participants will delve into the creation of scalable microservice architectures, optimise container environments, and manage production workloads via Kubernetes. The curriculum encompasses advanced deployment strategies, GitOps-driven automation, and observability techniques to guarantee system reliability and performance.

There is a pronounced emphasis on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme culminates with the application of AI-powered tools to aid troubleshooting and expedite operational decision-making.

Upon completion of the training, participants will possess a robust understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based environment.

DO180 provides an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a focus on practical, hands-on skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate technical professionals who wish to learn container workflows, Kubernetes primitives, and 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, adhering to best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including 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.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

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

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerised applications on-premise, in public cloud environments, or on hosted cloud services.
• Secure OpenShift Container Platform
• Monitor systems and gather metrics.
• Manage storage solutions.

In this instructor-led, live training in Australia (onsite or remote), participants will learn how to create and manage Docker containers, before deploying a sample application inside a container. Participants will also discover how to automate, scale, and manage their containerised applications within a Kubernetes cluster. Finally, the training covers more advanced topics, guiding 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.

Training Objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

Edge AI is an approach centred on executing machine learning inference near data sources to deliver low-latency, efficient, and scalable processing.

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

Upon completing this course, participants will be able to:

• Set up lightweight Kubernetes distributions for edge deployments.
• Deploy AI inference workloads effectively across constrained edge nodes.
• Manage connectivity challenges and synchronization patterns.
• Optimise performance, storage, and networking for real-world edge scenarios.

Format of the Course

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

Course Customization Options

• To request a customized training tailored to your edge platform needs, please contact us to arrange.

This instructor-led, live training in Australia (online or onsite) is designed for engineers who want 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 Australia (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish 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 Australia (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Gain insight into deploying, managing, and debugging applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Enhance their development process by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.