Docker Training in Sharjah

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.

Hybrid AI deployment involves executing AI inference across cloud, on-premises, and edge environments through unified, container-based workflows.

This instructor-led live training, available online or onsite, is designed for advanced professionals aiming to design and deploy distributed AI inference systems across diverse infrastructure.

Upon completing this training, participants will be able to:

• Construct secure, scalable containerized AI services for multi-site environments.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Integrate orchestration tools to automate distributed AI operations.
• Optimize inference latency, reliability, and resilience across varied infrastructure.

Course Format

• Guided presentations and expert-led discussions.
• Extensive hands-on practice and applied exercises.
• Real-world experimentation within a controlled live-lab environment.

Course Customization Options

• For tailored adjustments to align this course with your organization’s infrastructure or specific use cases, please contact us to customize the training.

Docker serves as a containerization platform designed to create portable, isolated, and secure deployment environments for AI inference services.

This instructor-led live training, available both online and onsite, is designed for technical professionals ranging from beginner to intermediate levels who aim to build secure, portable AI inference microservices. These services can be consistently deployed across local machines, servers, or cloud virtual machines.

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

• Create lightweight inference containers for both local and cloud deployment.
• Secure containerized AI services by applying best-practice techniques.
• Implement portable microservice workflows to ensure consistent environments.
• Deploy AI inference endpoints across diverse infrastructures.

Format of the Course

• Guided lectures combined with practical demonstrations.
• Hands-on exercises to reinforce deployment and security techniques.
• Live-lab practice for building and running portable inference services.

Course Customization Options

• To tailor this training to your specific infrastructure or AI tooling stack, please contact us to arrange.

In this instructor-led, live training in Sharjah (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.

GPU acceleration is critical for executing high-performance deep learning workloads in a scalable and efficient manner.

This instructor-led, live training (available online or onsite) is designed for intermediate-level technical professionals looking to configure, optimize, and operate GPU-enabled AI workloads within Docker containers.

Upon completing this course, participants will be able to:

• Build and execute GPU-enabled containers for both training and inference tasks.
• Configure CUDA, drivers, and runtime libraries to support containerized AI workflows.
• Optimize resource allocation and isolation for applications with heavy GPU demands.
• Deploy scalable, containerized deep learning services in production environments.

Course Format

• Interactive instruction supported by real-world demonstrations.
• Exercise-driven practice focused on GPU-enabled development.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For tailored training aligned with your infrastructure or GPU stack, please contact us to arrange.

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.

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.

This instructor-led live training in Sharjah (available online or onsite) is targeted at intermediate-level developers and DevOps engineers who seek to build, deploy, and manage microservices using Spring Cloud and Docker.

By the conclusion 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.

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

In this instructor-led live training at Sharjah (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.

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

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.

In this instructor-led, live training in Sharjah, 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 in Sharjah, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

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

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in the public cloud, or on a hosted cloud.

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/

This instructor-led, live course in Sharjah provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

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.

This instructor-led, live training in Sharjah (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 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 Sharjah (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 Sharjah (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.

Course Format

• Engaging lectures combined with interactive discussions.
• Extensive exercises and practical application.
• Real-world implementation within a live laboratory environment.

Customization Options

• For tailored training on this course, please reach out to us to make arrangements.

In this instructor-led live training in Sharjah, participants will explore the foundational aspects of building microservices using Spring Cloud and Docker. Participants' understanding will be tested through exercises and the incremental development of sample microservices.

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

• Understand the fundamentals 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.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform engineered by Red Hat, aimed at automating the deployment, scaling, and management of containerized applications.

This instructor-led, live training (available online or onsite) is tailored for system administrators and DevOps engineers seeking to deploy, manage, and operate OpenShift clusters within production environments.

The course adopts a hands-on approach to installing and managing OpenShift 4 clusters, leveraging Operators, securing workloads, and operating applications at scale.

This instructor-led, live training in (online or onsite) is aimed at DevOps engineers who wish to use Selenium to execute Selenium tests inside of Docker containers.

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

• Create test automation infrastructure for on-demand testing.
• Develop a test automation framework using Java.
• Build a CI/CD pipeline from scratch with Jenkins and Docker.