Docker Training in Bratislava

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 instructor-led live training (available online or on-site) is designed for intermediate-level professionals seeking to streamline end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completion of the training, participants will be equipped to:

• Establish automated pipelines for building and validating AI model containers.
• Enforce version control and reproducibility throughout the model lifecycle.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for 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.

Hybrid AI deployment involves executing AI inference across cloud infrastructure, on-premises data centers, and edge environments through unified containerized workflows.

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

After completing this training, participants will be able to:

• Create secure and scalable containerized AI services tailored for multi-location setups.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Leverage 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 and applied exercises.
• Real-world experimentation in 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.

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

This instructor-led live training session (available online or onsite) targets beginner to intermediate technical professionals who aim to develop secure, portable AI inference microservices capable of consistent deployment across local machines, servers, or cloud virtual machines (VMs).

Upon completing this workshop, participants will be able to:

• Create lightweight inference containers suitable for both local and cloud deployment.
• Enhance the security of containerized AI services by applying industry best practices.
• Establish portable microservice workflows to ensure environment consistency.
• Deploy AI inference endpoints across various infrastructure setups.

Course Format

• Instructor-led lectures combined with practical demonstrations.
• Interactive hands-on exercises to reinforce deployment and security methodologies.
• Live-lab sessions focused on building and running portable inference services.

Customization Options

• To customize this training for your specific infrastructure or AI tooling stack, please contact us to make arrangements.

In this instructor-led, live training in Bratislava (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 a critical component 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 who aim to configure, optimize, and deploy GPU-enabled AI workloads within Docker containers.

Upon completing this course, participants will be equipped to:

• Create and operate GPU-enabled containers for both training and inference tasks.
• Set up CUDA, drivers, and runtime libraries for containerized AI workflows.
• Optimize resource allocation and isolation for applications that are intensive on GPUs.
• Deploy scalable, containerized deep learning services in production environments.

Format of the Course

• 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 training, available both online and onsite, targets intermediate to advanced technical professionals aiming to containerize and operationalize complete ML pipelines using Docker.

After completing this training, participants will be capable of:

• Containerizing ML workloads for training, validation, and inference.
• Designing and orchestrating end-to-end ML pipelines with Docker and related tools.
• Implementing versioning, reproducibility, and CI/CD processes 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 implementation for end-to-end containerized workflows.

Course Customization Options

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

This instructor-led live training, available online or onsite, targets intermediate professionals seeking to package ML codebases, dependencies, and models using Docker to ensure reliable development-to-production workflows.

Upon completing this course, participants will be capable of:

• Building and managing Docker images specifically tailored for AI and ML applications.
• Containerizing machine learning pipelines, tools, and dependencies.
• Optimizing Docker environments for improved performance and portability.
• Deploying containerized ML services across diverse runtime environments.

Format of the Course

• Concept demonstrations complemented by guided discussion.
• Hands-on exercises centered on real-world containerization tasks.
• Practical implementation within live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational needs, please reach out to us to make arrangements.

This instructor-led, live training in Bratislava (online or onsite) is designed for intermediate-level developers and DevOps engineers who aim 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.

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

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

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

Kubernetes has become the dominant platform for container orchestration.

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

Since 2019, we have also assisted our clients in validating their expertise in Kubernetes environments by preparing them to successfully 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 attending, 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.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

Learn 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 acquire the skills necessary to operate modern container platforms and troubleshoot applications across development and production environments.

The Certified Kubernetes Application Developer (CKAD) certification program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization responsible for hosting Kubernetes.

This instructor-led, live training (available online or on-site) 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 well-known training providers globally in the field of containerization. Since 2019, we have also assisted our customers in verifying their performance in k8s environments by preparing and encouraging them to pass the CKA and CKAD exams.

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 it.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

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

The "Advanced Docker and Kubernetes" course is a comprehensive training program covering the Kubernetes platform and its ecosystem. It is designed for participants with varying levels of experience, providing a full range of basic and advanced Kubernetes functionalities. Key concepts covered include Containers, Labels, Controllers, Services, Secrets, Persistent Data Volumes, Namespaces, Quotas, the Container Networking Model, Service Discovery, Scaling, Load Balancing, Cluster Management, Kubernetes Installation, Cluster Security, Access Control, Controller High Availability, Monitoring and Logging, Application Auto-Scaling, Advanced Scheduling, Microservices-based Applications, Application Design Patterns, and Deploying Applications on a Kubernetes Cluster.

This instructor-led, live training in Bratislava (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as to deploy applications at a larger scale while maintaining control.

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

• Create 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.

Docker is an open-source platform designed to automate the creation, distribution, and execution of applications within containers.

This instructor-led training session (available online or in-person) targets engineers who want to leverage Docker to deploy and manage software as containers rather than relying on traditional standalone installations.

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

• Install and configure Docker.
• Comprehend and apply software containerization principles.
• Manage applications based on Docker.
• Establish networks between various Docker applications and systems.
• Understand and modify 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 make arrangements.
• For further information about Docker, visit: https://www.docker.com

In this instructor-led live training located in Bratislava, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test 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.

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.