Kubeflow Essentials: Build, Train & Serve with 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.

This instructor-led, live training in New Zealand, delivered either online or on-site, is tailored for Kubernetes practitioners aiming to prepare for the CKS exam.

Upon completing this training, participants will understand how to secure Kubernetes environments and container-based applications throughout the various phases of an application's life cycle: build, deployment, and runtime.

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

Attendees will learn to architect scalable microservices solutions, optimise container environments, and manage production workloads using Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability frameworks designed to guarantee system reliability and 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 with the integration of AI-powered tools to streamline troubleshooting and expedite operational decision-making.

Upon completion, participants will possess a solid grasp of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes ecosystem.

Learn the fundamentals of containers, Kubernetes and OpenShift in a practical, hands-on training designed for developers, DevOps engineers and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources and use OpenShift to streamline modern application delivery in cloud and hybrid environments.

Learn how to build, deploy and administer containerised environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.

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.

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

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 live, instructor-led training in New Zealand (available online or on-site) is designed for developers and data scientists who aim to build, deploy, and manage machine learning workflows on Kubernetes.

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

• Install and configure Kubeflow in on-premise and cloud environments.
• Construct, deploy, and oversee ML workflows using Docker containers and Kubernetes.
• Run full machine learning pipelines across diverse architectures and cloud platforms.
• Use Kubeflow to generate and manage Jupyter notebooks.
• Develop ML training, hyperparameter tuning, and serving workloads across multiple platforms.

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.