Containerized AI & ML Deployment with Docker 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.

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

This live training session, led by an expert instructor (available online or onsite), is designed for 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:

• Develop automated pipelines for constructing and testing AI model containers.
• Establish version control and reproducibility standards throughout the model lifecycle.
• Deploy integrated, automated strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations (MLOps).

Course Format

• Instructor-led presentations alongside technical discussions.
• Hands-on labs and practical implementation exercises.
• Realistic CI/CD workflow simulations within a controlled environment.

Customization Options

• If your organization requires tailored pipeline workflows or specific platform integrations, please reach out to us for course customization.

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 is an open-source platform designed to automate the processes of building, shipping, and running applications within containers.

This instructor-led live training, available online or onsite, is tailored for engineers looking to deploy and manage software as containers rather than traditional stand-alone applications.

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

• Install and configure Docker.
• Grasp and implement software containerization techniques.
• Manage applications built on Docker.
• Network various Docker applications and systems effectively.
• Understand and modify Docker registries.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to arrange the details.
• For more information about Docker, visit: https://www.docker.com

Learn how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will gain the necessary skills to operate modern container platforms and troubleshoot applications across both development and production environments.

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 leading containerization platform, enabling teams to construct scalable, portable, and highly reproducible environments for Machine Learning systems.

Designed for technical professionals at the intermediate to advanced level, this instructor-led live course—available either online or on-site—focuses on containerizing and operationalizing complete ML pipelines through the power of Docker.

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

• Encapsulate ML training, validation, and inference workloads within secure containers.
• Architect and orchestrate seamless end-to-end ML pipelines utilizing Docker and its supporting ecosystem.
• Establish robust versioning, ensure reproducibility, and integrate CI/CD practices for ML components.
• Efficiently deploy, monitor, and scale ML services within containerized infrastructures.

Course Format

• Engaging interactive lectures complemented by practical live demonstrations.
• Hands-on exercises dedicated to constructing functional ML pipeline components.
• Live lab sessions that implement complete end-to-end containerized workflows.

Customization Options

• To tailor the training to your specific ML infrastructure requirements, please reach out to discuss customized options.

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

To execute high-performance deep learning tasks with both scalability and efficiency, GPU acceleration is a critical component.

This live, instructor-led training session, available online or on-site, is designed for intermediate-level technical professionals aiming to configure, optimize, and execute GPU-powered AI workloads within Docker containers.

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

• Create and operate GPU-enabled containers for both training and inference tasks.
• Set up CUDA, drivers, and runtime libraries to support containerized AI pipelines.
• Refine resource allocation and isolation strategies for applications with high GPU demands.
• Implement scalable, containerized deep learning services in live production settings.

Course Structure

• Engaging instruction reinforced by practical, real-world examples.
• Practical exercises centered on GPU-integrated development.
• Live, hands-on implementation within a dedicated lab environment.

Tailored Course Options

• To align the training with your specific infrastructure or GPU configuration, please reach out to discuss customization options.

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 seeking to design and deploy distributed AI inference systems within heterogeneous environments.

Upon completing this training, participants will be able to:

• Develop secure and scalable containerized AI services for multi-location setups.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Integrate orchestration tools to automate distributed AI operations.
• Enhance inference latency, reliability, and resilience across diverse infrastructure.

Course Format

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

Course Customization Options

• To tailor this course to align with your organization’s specific infrastructure or use cases, please contact us for customization options.

In this live, instructor-led training in the UAE (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.

In this instructor-led live training in the UAE, 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.

This instructor-led live training in the UAE (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.

OpenShift stands out as a premier Kubernetes-based platform for deploying and managing containerized applications across cloud, hybrid, and on-premises environments.

This interactive training equips participants with the skills to install, administer, and troubleshoot OpenShift clusters while applying best practices for security, networking, and storage. Through practical exercises, learners acquire the confidence to manage production-ready OpenShift environments effectively.