Docker from Basic to Advanced Training Course

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

Upon completing this training, participants will be capable of:

• Creating custom Docker images.
• Deploying and managing a large number of Docker applications.
• Evaluating various container orchestration solutions and selecting the most appropriate one.
• Establishing a continuous integration workflow for Docker applications.
• Integrating Docker applications into existing continuous integration toolchains.
• Implementing security measures for Docker applications.

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

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

Upon completion of 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 enhanced performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Format

• Concept demonstrations supported by guided discussion.
• Hands-on exercises focused on real-world containerization tasks.
• Practical implementation utilizing live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational environment, please contact us to arrange.

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

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to automate end-to-end AI model delivery workflows utilizing Docker and CI/CD platforms.

Upon completing the training, participants will be equipped to:

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

Course Format

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

Course Customization Options

• For organizations requiring tailored pipeline workflows or specific platform integrations, please reach out to customize this course.

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

Kubernetes has emerged as the premier platform for container orchestration.

Since 2015, NobleProg has been providing specialized Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the world's leading training providers in the field of containerization.

Since 2019, we have also been supporting our clients in validating their Kubernetes skills by preparing them to pass the CKA and CKAD exams.

This instructor-led, live training is available either online or onsite and is designed for System Administrators and Kubernetes users who wish to validate their expertise by passing the CKA exam.

Furthermore, 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 make arrangements.
• 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), which serves as the host for Kubernetes.

This instructor-led live training, available either online or onsite, 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 gaining practical experience in Kubernetes application development. Therefore, 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 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 been helping our customers validate their performance in Kubernetes environments by preparing and encouraging 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.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

Docker serves as a platform for developers and system administrators to maintain distributed applications. It includes a runtime for executing containers and a service for sharing them.

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

During the first two days of this course, participants will learn the fundamental usage of Docker, which is beneficial for both developers and system administrators. The curriculum features numerous hands-on exercises, allowing participants to practice in their own Docker environment and create their own Docker images.

On the final day, participants will explore advanced tools that support Docker, including Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in the UAE (online or onsite) is aimed at engineers who wish to use Docker to deploy and manage software as containers instead of as traditional stand-alone software.

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

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

Docker provides a robust platform for developers and system administrators to manage distributed applications. It comprises a runtime for executing containers and a service designed for sharing them.

Thanks to Docker, applications can run consistently across laptops, dedicated servers, and virtual machines without modification.

This course covers the fundamental usage of Docker, making it valuable for both developers and IT professionals. Over two days, participants will engage in extensive hands-on exercises, practicing within their own Docker environment and creating custom Docker images.

This instructor-led, live training in the UAE (online or onsite) is designed for DevOps engineers seeking to optimize and simplify their CI/CD processes through the use of Docker and Jenkins.

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

• Automate code delivery and pipeline deployment using Jenkins.
• Construct applications utilizing Docker and Dockerfiles.
• Configure authentication mechanisms to enhance security.

This instructor-led, live training (available online or on-site) is designed for engineers who wish to evaluate each of these services to make informed decisions regarding deployment within their organization.

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

• Establish a development environment that includes all the necessary libraries, packages, and frameworks required to start developing.
• Set up, configure, and deploy a series of demo containers using various approaches.
• Understand the architectural and design differences among various Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Establish a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

In this instructor-led, live training in the UAE, 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 the public cloud, or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led live training at the UAE (onsite or remote), participants will learn how to create and manage Docker containers, followed by deploying a sample application within a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training progresses to advanced topics, guiding 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 instructor-led live training, available online or onsite, targets intermediate to advanced technical professionals seeking to containerize and operationalize complete ML pipelines using Docker.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures supported by practical demonstrations.
• Hands-on exercises focused on building real ML pipeline components.
• Live-lab implementation for end-to-end containerized workflows.

Course Customization Options

• For customized training aligned with specific ML infrastructure needs, please contact us to discuss options.

This hands-on course is designed to equip participants with the essential tools and practical knowledge required for Docker and Kubernetes. By the end of the training, attendees will possess the necessary skills to effectively manage and deploy their applications.

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