Docker for Developers and System Administrators Training Course

This instructor-led, live training in New Zealand (available online or on-site) is designed for engineers who wish to deepen their Docker expertise to deploy applications at scale while maintaining full control.

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

• Build their own Docker images.
• Deploy and manage large numbers of Docker applications.
• Evaluate different container orchestration solutions and select the most suitable one.
• Establish a continuous integration pipeline for Docker applications.
• Integrate Docker applications with existing continuous integration tools and processes.
• Secure their Docker applications.

Docker is a containerisation platform that enables consistent, portable, and reproducible environments for AI and machine learning workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to package ML codebases, dependencies, and models using Docker for reliable development-to-production workflows.

Upon completing this course, participants will be able to:

• Build and manage Docker images tailored for AI and ML applications.
• Containerise machine learning pipelines, tools, and dependencies.
• Optimise Docker environments for performance and portability.
• Deploy containerised ML services across different runtime environments.

Course Format

• Concept demonstrations supported by guided discussion.
• Hands-on exercises focused on real-world containerisation tasks.
• Practical implementation using live-lab Docker environments.

Course Customisation Options

• To customise this training for your organisational environment, please contact us to arrange.

CI/CD for AI is a structured approach to automating model packaging, testing, containerisation, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

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

• Create automated pipelines for building and testing AI model containers.
• Implement version control and ensure reproducibility throughout model lifecycles.
• Integrate automated deployment strategies for AI services.
• Apply CI/CD best practices tailored to machine learning operations.

Course Format

• Instructor-led presentations and technical discussions.
• Practical labs and hands-on implementation exercises.
• Realistic CI/CD workflow simulations in a controlled environment.

Course Customisation Options

• If your organisation requires customised pipeline workflows or platform integrations, please contact us to tailor this course.

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/

Docker is a platform designed for developers and system administrators to build, deploy, and maintain distributed applications. It includes a runtime environment for executing containers and a service for sharing them.

With Docker, the same application can run unmodified across laptops, dedicated servers, and virtual servers.

This course, spanning the first two days, covers the fundamental usage of Docker, providing valuable skills for both developers and system administrators. The course features numerous hands-on exercises, allowing participants to practice within their own Docker environments and create their own Docker images.

On the final day, participants will explore more advanced tools that integrate with Docker, including Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for engineers who wish to adopt Docker to deploy and manage software as containers, rather than as traditional stand-alone applications.

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

• Install and configure Docker.
• Understand and implement software containerisation.
• Manage Docker-based applications.
• Network different Docker applications and systems.
• Understand and work with Docker registries.

This instructor-led, live training in New Zealand (available online or on-site) is designed for DevOps engineers who wish to optimise and streamline their CI/CD workflows using Docker and Jenkins.

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

• Automate code delivery and pipeline deployment using Jenkins.
• Build applications with Docker and Dockerfiles.
• Configure authentication options to enhance security.

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.

Docker is a containerisation platform used to build reproducible, portable, and scalable environments for ML systems.

This instructor-led, live training (online or on-site) is designed for intermediate to advanced-level technical professionals who wish to containerise and operationalise complete ML pipelines using Docker.

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

• Containerise ML training, validation, and inference workloads.
• Design and orchestrate end-to-end ML pipelines using Docker and supporting tools.
• Implement versioning, reproducibility, and CI/CD for ML components.
• Deploy, monitor, and scale ML services in containerised environments.

Course Format

• Interactive lectures supported by practical demonstrations.
• Hands-on exercises focused on building real ML pipeline components.
• Live-lab implementation for end-to-end containerised workflows.

Course Customisation Options

• For customised training aligned with specific ML infrastructure needs, please contact us to discuss options.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

The aim of this hands-on course is to equip participants with all the tools needed to address the practical aspects of Docker and Kubernetes, ensuring they develop the essential skills for effective program management.

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