Hybrid AI Deployment: Docker, Cloud, and Edge Integration Training Course

This instructor-led live training in the Netherlands (online or onsite) is designed for engineers who wish to advance their knowledge of Docker to deploy applications at a larger scale while maintaining control.

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

• Build their own Docker images.
• Deploy and manage a large number of Docker applications.
• Evaluate different container orchestration solutions and choose the most suitable one.
• Set up a continuous integration process for Docker applications.
• Integrate Docker applications with existing continuous tools integration processes.
• Secure their Docker applications.

Docker serves as a containerization platform that ensures consistent, portable, and reproducible environments for AI and machine learning workloads.

This live, instructor-led training—available online or onsite—is designed for intermediate-level professionals looking to package ML codebases, dependencies, and models using Docker to achieve reliable development-to-production workflows.

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

• Create and manage Docker images specifically tailored for AI and ML applications.
• Encapsulate machine learning pipelines, tools, and their dependencies within containers.
• Enhance Docker environments to improve performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Delivery Format

• Demonstrations of concepts accompanied by facilitated discussions.
• Practical exercises centered on real-world containerization challenges.
• Hands-on implementation utilizing live-lab Docker environments.

Customization Options

• Contact us to discuss customizing this training to align with your organizational needs.

CI/CD for AI represents a systematic methodology for automating the packaging, testing, containerization, and deployment of machine learning models through continuous integration and delivery pipelines.

This instructor-led training (available online or onsite) targets intermediate-level professionals eager to streamline end-to-end AI model delivery workflows by leveraging Docker alongside CI/CD platforms.

Upon completing the training, participants will be able to:

• Design automated pipelines for constructing and testing AI model containers.
• Establish version control and ensure reproducibility throughout the model lifecycle.
• Deploy integrated automation strategies for AI services.
• Apply CI/CD best practices specifically adapted for 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 within a controlled environment.

Course Customization Options

• If your organization requires customized pipeline workflows or specific platform integrations, please contact us to tailor this course.

The Certified Kubernetes Administrator (CKA) credential was established by The Linux Foundation in partnership with the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as the leading platform for container orchestration.

Since 2015, NobleProg has specialized in delivering Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the globally recognized leaders in containerization education.

Since 2019, we have further supported our customers by helping them validate their expertise in Kubernetes environments through rigorous preparation for the CKA and CKAD examinations.

This instructor-led live training (available online or onsite) is designed for System Administrators and Kubernetes practitioners seeking to validate their skills by passing the CKA exam.

Additionally, the course emphasizes gaining practical experience in Kubernetes administration. Therefore, we recommend participating even if you do not plan to sit for the CKA exam.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to arrange details.
• For more information about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) certification is administered by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

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

Additionally, the course emphasizes practical experience in Kubernetes application development. We recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successful training projects completed, we have become one of the most recognized training providers globally in the field of containerization. Since 2019, we have also helped our customers validate their performance in k8s environments by preparing them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request customized 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/

Docker is an open-source platform designed to automate the creation, distribution, and execution of applications within containers.

This instructor-led live training (available online or on-site) is tailored for engineers who want to deploy and manage software as containers rather than relying on traditional standalone applications.

Upon completing this training, participants will be able to:

• Install and configure Docker.
• Grasp and implement software containerization principles.
• Manage applications built on Docker.
• Network various Docker applications and systems effectively.
• Understand and edit Docker registries.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request tailored training for this course, please contact us to make arrangements.
• For more information on Docker, visit: https://www.docker.com

Learn how to build, deploy, and administer containerized 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 the Netherlands (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 containerized 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 containerized 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 containerization platform designed to create reproducible, portable, and scalable environments for machine learning systems.

This live, instructor-led training—available either online or onsite—is tailored for technical professionals at an intermediate to advanced level who aim to containerize and operationalize comprehensive ML pipelines using Docker.

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

• Containerize ML training, validation, and inference workloads.
• Design and orchestrate complete ML pipelines leveraging Docker and complementary tools.
• Implement versioning, reproducibility, and CI/CD practices for ML components.
• Deploy, monitor, and scale ML services within containerized environments.

Course Format

• Interactive lectures complemented by practical demonstrations.
• Hands-on exercises centered on constructing real ML pipeline components.
• Live-lab sessions implementing end-to-end containerized workflows.

Customization Options

• For training tailored to specific ML infrastructure requirements, please reach out to us to explore available options.

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

To execute high-performance deep learning tasks at scale, GPU acceleration is indispensable for ensuring both efficiency and robustness.

This live, instructor-led training session, available online or on-site, is designed for intermediate technical professionals seeking to configure, optimise, and manage GPU-enabled AI workloads within Docker containers.

By the end of this course, participants will have acquired the capability to:

• Construct and deploy GPU-enabled containers for both training and inference processes.
• Configure CUDA, drivers, and runtime libraries to support containerised AI workflows.
• Optimise resource allocation and isolation specifically for GPU-intensive applications.
• Deploy scalable, containerised deep learning services in production settings.

Course Format

• Interactive instruction reinforced by practical, real-world demonstrations.
• Exercise-based practice dedicated to GPU-enabled development.
• Hands-on implementation within a live-lab environment.

Customisation Options

• For training tailored to your specific infrastructure or GPU stack, please reach out to us to make arrangements.

In this instructor-led live training in the Netherlands (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced 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 containerized 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 held at the Netherlands, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.

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

• Understand the fundamentals of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerized 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 the Netherlands (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

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

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

OpenShift is a leading Kubernetes-based platform for deploying and managing containerized 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 best practices for security, networking, and storage. Through practical exercises, participants acquire the expertise needed to confidently manage production-ready OpenShift environments.