Containerized AI & ML Deployment with Docker Training Course

This instructor-led live training in Czech Republic (online or on-site) is designed for engineers who want to advance their Docker knowledge 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 manage a 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.

CI/CD for AI is a structured approach to automating model packaging, testing, containerization, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish 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:

• Create automated pipelines for building and testing AI model containers.
• Implement version control and reproducibility for model lifecycles.
• Integrate automated deployment strategies for AI services.
• Apply CI/CD best practices tailored to machine learning operations.

Format of the Course

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

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

Kubernetes has become the dominant platform for container orchestration.

Since 2015, NobleProg has specialized in delivering 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 assisted our clients in validating their expertise in Kubernetes environments by preparing them to pass the CKA and CKAD exams.

This instructor-led live training (available online or onsite) is designed for System Administrators and Kubernetes practitioners who wish to validate their knowledge by passing the CKA exam.

Additionally, the course focuses on 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 arrange.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) credential has been established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led live training (available online or onsite) is designed for Developers who want to validate their ability to design, build, configure, and expose cloud-native applications for Kubernetes.

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

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the world's most recognized training companies in the field of containerization. Since 2019, we have also assisted our customers in verifying their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Ample 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 creation, distribution, and execution of applications within containers.

This instructor-led live training (available online or onsite) targets engineers looking to adopt Docker for deploying and managing software as containers rather than relying on traditional standalone software models.

Upon completion of this training, participants will be capable of:

• Installing and configuring Docker.
• Gaining a clear understanding of and implementing software containerization.
• Managing applications built on Docker.
• Networking various Docker-based applications and systems.
• Understanding and modifying Docker registries.

Course Format

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

Customization Options

• To request tailored training for this course, please contact us to arrange details.
• To learn more about Docker, please 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 acquire the skills necessary to operate modern container platforms and troubleshoot applications across both development and production environments.

In this instructor-led, live training in Czech Republic (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking 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 specifically tailored for ML systems.

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

By the end of this training, participants will be capable of:

• Containerizing ML workloads for training, validation, and inference.
• Designing and orchestrating end-to-end ML pipelines utilizing Docker and complementary tools.
• Implementing versioning, reproducibility, and CI/CD practices for ML components.
• Deploying, monitoring, and scaling ML services within containerized environments.

Course Format

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

Customization Options

• For training customized to specific ML infrastructure requirements, please contact us to explore available options.

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

To achieve scalable and efficient execution of high-performance deep learning workloads, GPU acceleration is a critical requirement.

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

By the end of this course, participants will be capable of:

• Constructing and executing GPU-enabled containers for both training and inference tasks.
• Setting up CUDA, drivers, and runtime libraries to support containerized AI workflows.
• Optimizing resource allocation and isolation specifically for GPU-intensive applications.
• Deploying scalable, containerized deep learning services within production environments.

Course Delivery Format

• Interactive teaching methods accompanied by real-world demonstrations.
• Practice exercises specifically focused on GPU-enabled development.
• Practical, hands-on implementation within a live-lab environment.

Customization Options

• For training tailored to your specific infrastructure or GPU stack, please contact us to make arrangements.

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

This instructor-led live training, available online or onsite, is designed for advanced professionals seeking to architect and implement distributed AI inference systems within heterogeneous environments.

After completing this course, participants will be equipped to:

• Create secure and scalable containerized AI services tailored for multi-site operations.
• Leverage Docker to deploy AI inference workloads across cloud platforms, local servers, and edge devices.
• Utilize orchestration tools to automate distributed AI operational processes.
• Enhance inference latency, reliability, and system resilience across diverse infrastructures.

Course Format

• Guided presentations coupled with expert-led discussions.
• Comprehensive hands-on practice through applied exercises.
• Real-world experimentation within a controlled live-lab environment.

Customization Options

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

In this instructor-led, live training Czech Republic (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 proceeds 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 Czech Republic, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Knowledge is tested through exercises and the step-by-step 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 Czech Republic (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

By the end 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 is one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training teaches participants how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants gain the skills needed to confidently manage production-ready OpenShift environments.