Docker from Basic to Advanced Training Course

This instructor-led, live training in Uzbekistan (online or on-site) is intended for engineers who wish to deepen their Docker expertise to deploy applications at scale while maintaining full control.

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

• Build their own Docker images.
• Deploy and manage large numbers of Docker applications.
• Evaluate various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration pipeline for Docker applications.
• Integrate Docker applications with existing continuous integration tooling.
• Secure their Docker applications.

Upon completion of 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 to select the most appropriate one.
• Establishing a continuous integration process for Docker applications.
• Integrating Docker applications with existing continuous integration toolchains.
• Implementing security measures for Docker applications.
• Utilizing Kubernetes to deploy and manage diverse environments within a single cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

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

This instructor-led live training, available both online and on-site, is designed for intermediate-level professionals aiming to package machine learning codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.

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

• Create and manage Docker images customized for AI and ML applications.
• Containerize machine learning pipelines, tools, and associated dependencies.
• Optimize Docker environments for enhanced performance and portability.
• Deploy containerized ML services across diverse runtime environments.

Course Format

• Concept demonstrations reinforced by guided discussions.
• Practical exercises focused on real-world containerization scenarios.
• Hands-on implementation using live-lab Docker environments.

Customization Options

• To tailor this training to your organization's specific needs, please contact us to arrange a customized session.

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who want to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

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

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

Course Format

• 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 needs customized pipeline workflows or platform integrations, please contact us to tailor this course.

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

Kubernetes has become the leading platform for container orchestration.

NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become 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 performance 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 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.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes.

On the other hand, the training also focuses on gaining practical experience in Kubernetes application development, so we recommend participating even if you do not intend to take the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerization. Since 2019, we have also been helping our customers validate their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Course Format

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

Course Customization Options

• To request a customized version of 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 a platform designed for developers and system administrators to manage distributed applications. It features a runtime for executing containers and a service for sharing container images.

With Docker, the same application can run seamlessly on laptops, dedicated servers, and virtual machines without any modifications.

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 includes numerous hands-on exercises where participants will practice in their own Docker environment 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 Uzbekistan (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 serves as a platform for developers and system administrators to manage distributed applications. It includes a runtime for executing containers and a service for distributing them.

With Docker, the same application can operate unchanged across laptops, dedicated servers, and virtual machines.

This course covers the fundamental usage of Docker, providing value to both developers and system administrators. The program features extensive hands-on exercises, allowing participants to practice in their own Docker environment and create custom Docker images over the course of two days.

This live, instructor-led training in Uzbekistan (online or onsite) is aimed at DevOps engineers who wish to optimize and simplify the CI/CD process with Docker and Jenkins.

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

• Automate code delivery and pipeline deployment with Jenkins.
• Build an application using Docker and Docker File.
• Configure authentication options to strengthen security.

This instructor-led live training (available online or in-person) is designed for engineers who want to assess each service to make an informed decision about which to deploy within their organization.

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

• Set up a development environment with all necessary libraries, packages, and frameworks to start developing.
• Set up, configure, and deploy a series of demo containers using different approaches.
• Understand the architectural and design differences among various 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 Uzbekistan, 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.

Through this instructor-led live training in Uzbekistan (onsite or remote), participants will acquire the skills to create and manage Docker containers, as well as deploy a sample application within one. The curriculum also covers automating, scaling, and managing containerized applications inside a Kubernetes cluster. Furthermore, the training progresses to advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

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

• Set up and operate a Docker container.
• Deploy a containerized server and web application.
• Construct and oversee Docker images.
• Establish a Docker and Kubernetes cluster.
• Utilize 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 both online and on-site, 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 using 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 supplemented by practical demonstrations.
• Hands-on exercises focused on constructing real-world ML pipeline components.
• Live-lab implementation for end-to-end containerized workflows.

Customization Options

• For tailored training aligned with specific ML infrastructure requirements, please contact us to explore options.

This hands-on course aims to equip participants with the practical tools and skills needed to effectively manage Docker and Kubernetes technologies.