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

This instructor-led, live training in South Korea (online or onsite) is designed for engineers looking to advance their Docker knowledge 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 facilitates consistent, portable, and reproducible environments for AI and machine learning workloads.

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

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

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

Course Format

• Concept demonstrations accompanied by guided discussions.
• Hands-on exercises centered on real-world containerization tasks.
• Practical implementation using live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational needs, please contact us to arrange a session.

CI/CD for AI is a structured approach to automating model packaging, testing, containerization, 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.

As the training concludes, participants will be able to:

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

Format of the Course

• Instructor-guided 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) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as the leading platform for container orchestration today.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the most recognized training companies globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them and encouraging them to 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 focuses on gaining practical experience in Kubernetes Administration; therefore, we recommend participating even if you do not intend to take the CKA exam.

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 it.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) certification was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization responsible for Kubernetes.

This instructor-led, live training—available either online or on-site—is designed for developers who wish to validate their proficiency in designing, building, configuring, and exposing cloud-native applications within Kubernetes environments.

Moreover, the program emphasizes practical, hands-on experience in Kubernetes application development. Therefore, we recommend participating in this course even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the leading training providers globally in the field of containerization. Since 2019, we have also supported our clients in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD examinations.

Course Format

• Interactive lectures and discussions.
• Ample 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 make arrangements.
• For more information 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 manage distributed applications. It features a runtime environment for executing containers along with services that facilitate the sharing of these containers.

With Docker, the same application can run without modification across laptops, dedicated servers, and virtual servers.

During the first two days, this course covers the fundamental usage of Docker, which is beneficial for both developers and system administrators. The curriculum includes 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 advanced tools that complement Docker, including Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in South Korea (online or onsite) is designed for engineers who wish to use Docker to deploy and manage software as containers instead of as traditional standalone software.

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

• Install and configure Docker.
• Understand and implement software containerization.
• Manage Docker-based applications.
• Connect various Docker applications and systems.
• Understand and modify Docker registries.

Docker serves as a platform enabling developers and system administrators to manage distributed applications effectively. It features a runtime for executing containers alongside a service designed for sharing them.

With Docker, applications can run identically across laptops, dedicated servers, and virtual machines without modification.

This course covers the fundamental usage of Docker, providing value to both developers and system administrators. The curriculum includes extensive hands-on exercises, allowing participants to practice within their own Docker environments and create their own Docker images over the course of two days.

This instructor-led live training, offered online or onsite, targets DevOps engineers who aim to optimize and streamline their CI/CD processes using Docker and Jenkins.

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

• Automate code delivery and pipeline deployment with Jenkins.
• Develop applications using Docker and Dockerfiles.
• Set up authentication mechanisms to bolster security.

This instructor-led, live training (available online or onsite) is designed for engineers who want to assess these services to make informed decisions about which solution to deploy within their organization.

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 to begin development.
• Set up, configure, and deploy a series of demo containers using various approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

In this instructor-led, live training in South Korea, 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 containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led live training in South Korea (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 for machine learning systems.

This instructor-led training, available in online or onsite formats, is designed for intermediate to advanced technical professionals seeking to containerize and operationalize complete ML pipelines using Docker.

Upon completing this training, participants will be equipped to:

• Containerize machine learning training, validation, and inference workloads.
• Design and orchestrate end-to-end ML pipelines utilizing Docker and complementary tools.
• Implement versioning, reproducibility, and CI/CD processes for ML components.
• Deploy, monitor, and scale ML services within containerized environments.

Course Format

• Interactive lectures accompanied by practical demonstrations.
• Hands-on exercises focused on constructing real-world ML pipeline components.
• Live-lab implementation of end-to-end containerized workflows.

Customization Options

• For training tailored to specific ML infrastructure requirements, please contact us to discuss available options.

Course Format

• Interactive lectures accompanied by group discussions.
• Extensive hands-on exercises and practical sessions.
• Live-lab implementation for real-world application.

Customization Options

• For tailored training requirements, please reach out to us for arrangement.

The objective of this hands-on course is to equip participants with all the necessary tools to address the practical aspects of Docker and Kubernetes, enabling them to develop the essential skills required for effective program management.