Container Management with Docker Training Course

This instructor-led, live training in Sweden (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 manager 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 provides consistent, portable, and reproducible environments for AI and machine learning workloads.

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

Upon completing this course, participants will be able to:

• Build 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.

Format of the Course

• 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 provides a structured framework for automating the packaging, testing, containerization, 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 completion of the training, participants will be able to:

• Establish automated pipelines for building and testing AI model containers.
• Implement version control and ensure reproducibility throughout the model lifecycle.
• 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 Customization Options

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

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

Kubernetes has become a leading platform for container orchestration.

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 providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their skills 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, so we recommend attending even if you do not plan 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.
• To learn more 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 responsible for hosting Kubernetes.

This instructor-led live training, available online or at your location, is designed for developers who want to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

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

NobleProg has been providing Docker and 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 assisted our customers in validating their performance in Kubernetes environments by preparing and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Numerous 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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live training in Sweden (online or on-site) is designed for engineers who want to leverage Docker to deploy and manage software as containers rather than as traditional standalone applications.

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

• Install and configure Docker.
• Understand and implement software containerization.
• Manage Docker-based applications.
• Network different Docker applications and systems.
• Understand and edit Docker registries.

Docker serves as a platform enabling developers and system administrators to manage distributed applications. It comprises a runtime for executing containers and a service designed for sharing container images.

Using Docker, the same application can operate without modification across laptops, dedicated servers, and virtual machines.

This course covers the fundamental usage of Docker, offering value to both developers and system administrators. The curriculum is heavily focused on practical, 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 in Sweden (online or onsite) is tailored for DevOps engineers seeking to optimize and simplify the CI/CD process through Docker and Jenkins.

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

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

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

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

• Set up a development environment that includes all necessary libraries, packages, and frameworks needed to start developing.
• Set up, configure, and deploy a series of demo containers using a number of different 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 Sweden, 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 Sweden (onsite or remote), attendees will learn to create and manage Docker containers, then deploy a sample application within a container. Participants will also learn to automate, scale, and manage their containerized applications within a Kubernetes cluster. Additionally, the training covers advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

Upon completing this training, participants will be capable of:

• Establishing and executing a Docker container.
• Deploying a containerized server and web application.
• Constructing and administering Docker images.
• Setting up a Docker and Kubernetes cluster.
• Utilizing Kubernetes to deploy and manage a clustered web application.
• Securing, scaling, and monitoring a Kubernetes cluster.

Docker serves as a containerization platform designed to build reproducible, portable, and scalable environments for machine learning systems.

This instructor-led live training, available online or onsite, targets intermediate to advanced technical professionals seeking to containerize and operationalize complete ML pipelines using Docker.

After completing this course, participants will be equipped to:

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

Course Format

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

Customization Options

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

Course Format

• Interactive lectures with active discussion.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For tailored training solutions, please reach out to us to make arrangements.

This hands-on course aims to equip participants with the practical tools and skills needed to effectively manage Docker and Kubernetes, ensuring they are fully prepared for real-world implementation and administration.

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