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

This instructor-led, live training in Norway (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as 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 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 robust containerization platform, providing consistent, portable, and reproducible environments essential for AI and machine learning workloads.

Designed for intermediate-level professionals, this instructor-led live session (available online or onsite) focuses on packaging ML codebases, dependencies, and models using Docker to establish reliable development-to-production workflows.

Upon completion, participants will be equipped to:

• Create and manage Docker images specifically optimized for AI and ML applications.
• Encapsulate machine learning pipelines, tools, and dependencies into containers.
• Refine Docker environments to maximize performance and portability.
• Implement containerized ML services across diverse runtime environments.

Course Format

• Conceptual demonstrations integrated with guided discussions.
• Practical exercises centered on real-world containerization tasks.
• Applied implementation within live-lab Docker environments.

Customization Options

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

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

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals seeking to streamline end-to-end AI model delivery workflows using Docker and CI/CD platforms.

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

• Establish automated pipelines for constructing and testing AI model containers.
• Enforce version control and reproducibility throughout model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations.

Format of the Course

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

Course Customization Options

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

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

Kubernetes has emerged as the leading platform for container orchestration.

NobleProg has provided Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the world's most renowned training providers in the field of containerization.

Since 2019, we have been assisting our customers in validating their expertise in Kubernetes environments by preparing them to take and pass the CKA and CKAD exams.

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.

Additionally, the training emphasizes gaining practical experience in Kubernetes Administration; therefore, we recommend participating even if you do not plan to take the CKA exam.

Course Format

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

Course Customization Options

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

The Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization behind Kubernetes.

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

Additionally, the training emphasizes practical experience in Kubernetes application development; therefore, we recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization. Since 2019, we have also assisted customers in demonstrating 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.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• For more information 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 onsite) targets engineers looking to adopt Docker for deploying and managing software as containers rather than relying on traditional standalone setups.

Upon completion of this course, participants will be capable of:

• Installing and configuring Docker.
• Gaining a solid understanding of and implementing software containerization.
• Managing Docker-based applications.
• Connecting various Docker applications and systems via networking.
• Understanding and managing Docker registries.

Course Format

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

Customization Options

• To arrange customized training for this course, please contact us.
• For more information about 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 Norway (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 that enables the creation of reproducible, portable, and scalable environments specifically tailored for machine learning systems.

Designed for technical professionals at the intermediate to advanced level, this instructor-led live training (available online or onsite) focuses on the containerization and operationalization of complete ML pipelines using Docker.

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

• Package ML workloads for training, validation, and inference into containers.
• Architect and orchestrate comprehensive ML pipelines leveraging Docker and its supporting ecosystem.
• Establish robust versioning, reproducibility, and CI/CD practices for ML components.
• Deploy, monitor, and scale ML services within containerized infrastructure.

Instructional Format

• Engaging lectures accompanied by practical demonstrations.
• Hands-on exercises dedicated to constructing real-world ML pipeline components.
• Live-lab sessions implementing end-to-end containerized workflows.

Customization Opportunities

• To align the training with specific ML infrastructure requirements, please reach out to discuss tailored options.

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

For executing high-performance deep learning tasks, GPU acceleration is a critical component for achieving scalability and efficiency.

Designed for intermediate-level technical professionals, this live, instructor-led session (available online or onsite) focuses on configuring, optimizing, and operating GPU-enabled AI workloads within Docker containers.

Upon completing 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 to support containerized AI pipelines.
• Optimize resource allocation and isolation strategies for GPU-heavy applications.
• Deploy scalable, container-based deep learning services in production settings.

Course Delivery Format

• Engaging instruction supplemented by practical, real-world demonstrations.
• Exercise-based practice sessions centered on GPU-enabled development.
• Practical implementation activities conducted in a live-lab setting.

Customization Options

• To align training with your specific infrastructure or GPU stack, please reach out to us for a tailored arrangement.

In this instructor-led live training in Norway (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 in Norway, participants will learn the essentials of building microservices using Spring Cloud and Docker. Knowledge is assessed through practical exercises and the step-by-step creation of sample microservices.

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

• Understand the basics 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 Norway (online or onsite) is designed for intermediate-level developers and DevOps engineers aiming 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 one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid and on-premises environments.

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