Hybrid AI Deployment: Docker, Cloud, and Edge Integration 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 acts as a containerization platform that facilitates consistent, portable, and reproducible environments specifically for AI and machine learning workloads.

This live, instructor-led training, available online or onsite, is designed for intermediate professionals seeking to use Docker to package ML codebases, dependencies, and models, ensuring reliable workflows from development through to production.

Upon completing this course, participants will be equipped to:

• Create and manage Docker images tailored for AI and ML applications.
• Containerize machine learning pipelines, associated tools, and dependencies.
• Optimize Docker environments to enhance performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Delivery Format

• Demonstrations of key concepts accompanied by guided discussions.
• Hands-on exercises centred on real-world containerization tasks.
• Practical application within live-lab Docker environments.

Customization Options

• To tailor this training to your specific organizational environment, please contact us to make arrangements.

CI/CD for AI represents a systematic approach to automating the packaging, testing, containerisation, and deployment of AI models through continuous integration and delivery pipelines.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals seeking to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completing the training, participants will be able to:

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

Format of the Course

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

Course Customisation Options

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

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 an open-source platform designed for automating the creation, distribution, and execution of applications within containers.

This instructor-led live training (available online or on-site) targets engineers who wish to use Docker to deploy and manage software as containers rather than as traditional standalone software.

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 edit Docker registries.

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 Docker, please visit: https://www.docker.com

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.

Docker serves as a containerisation platform, enabling the creation of reproducible, portable, and scalable environments for machine learning systems.

This instructor-led, live training course (available online or onsite) is designed for intermediate to advanced technical professionals looking to containerise and operationalise complete ML pipelines using Docker.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures complemented by practical demonstrations.
• Hands-on exercises centred on constructing real-world ML pipeline components.
• Live-lab implementation focusing on end-to-end containerised workflows.

Customisation Options

• For training tailored to specific ML infrastructure requirements, please get in touch to explore customisation options.

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

Leveraging GPU acceleration is fundamental for executing high-performance deep learning tasks with both scalability and efficiency.

This live, instructor-led training (available online or on-site) is designed for intermediate-level technical professionals looking to configure, optimise, and operate GPU-enabled AI workloads within Docker containers.

By the end of this course, participants will be equipped to:

• Construct and execute GPU-enabled containers for both training and inference tasks.
• Set up CUDA, drivers, and runtime libraries for containerised AI workflows.
• Optimise resource allocation and isolation for GPU-intensive applications.
• Deploy scalable, containerised deep learning services in production environments.

Course Delivery Style

• Engaging, interactive teaching reinforced by real-world demonstrations.
• Exercise-focused practical sessions centred on GPU-enabled development.
• Hands-on implementation conducted within a live-lab environment.

Customisation Options

• To arrange tailored training aligned with your specific infrastructure or GPU stack, please get in touch with us.

In this instructor-led live training in New Zealand (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerised servers within a Kubernetes cluster. The training then advances to more complex topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy containerised databases and servers.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage different environments under the same cluster.
• Secure, scale and monitor a Kubernetes cluster.

In this instructor-led, live training in New Zealand, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Their understanding will be tested through hands-on exercises and the step-by-step development of sample microservices.

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

• Understand the core principles of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerised microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Use Docker Compose for end-to-end integration testing.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who aspire to build, deploy, and manage microservices using Spring Cloud and Docker.

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

• Develop microservices leveraging Spring Boot and Spring Cloud.
• Containerise applications using Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices within production environments.
• Deploy and orchestrate microservices using Kubernetes.

OpenShift is one of the leading Kubernetes-based platforms for deploying and managing containerised applications in cloud, hybrid, and on-premises environments.

This hands-on training equips participants with the skills to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants gain the confidence needed to manage production-ready OpenShift environments.