Delivered either online or on-site, these instructor-led live Docker training courses guide participants through interactive discussions and hands-on exercises to master the setup of Docker for building and rolling out containerized applications.
These Docker training options are offered as either "online live training" or "onsite live training". Online live training, also known as "remote live training", is conducted via an interactive remote desktop. Onsite live training takes place at customer facilities in Prague or at NobleProg corporate training centers in Prague.
The curriculum covers the setup and management of Docker containers, extending to scaling strategies and orchestration using Kubernetes.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This live training in Prague focuses on automating Docker-based AI model builds and deployments using CI/CD. It addresses packaging, testing, version control, and deployment strategies for MLOps, enabling participants to develop practical skills in pipeline creation and secure container management.
This instructor-led course in Prague focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Learners will develop the skills to build secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
During this instructor-led training in Prague, technical professionals will learn to construct secure, portable AI inference microservices using Docker. Attendees will acquire practical skills in containerizing models, securing services, and achieving consistent deployments across local, server, or cloud environments.
In this instructor-led, live training Prague (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.
This instructor-led training in Prague equips intermediate professionals with the skills to configure and optimize GPU-enabled AI workloads inside Docker containers. Learners will discover how to build CUDA-compatible images, oversee multi-GPU operations, and deploy scalable deep learning services ready for production environments.
This instructor-led training on Prague guides professionals in containerizing full ML pipelines using Docker. Learners will master creating reproducible environments, orchestrating training and inference tasks, and implementing CI/CD to achieve scalable MLOps deployments.
This instructor-led course on Prague guides intermediate professionals in containerizing AI and ML workloads via Docker. Learners will master the creation of optimized images, dependency management, and the deployment of reliable pipelines, acquiring practical skills for establishing consistent and portable production environments.
This instructor-led, live training in Prague (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.
In this instructor-led, live training in Prague (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.
This live, instructor-led training in Prague prepares you for the Certified Kubernetes Administrator (CKA) exam. It delivers hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or practical cluster management skills.
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.
This instructor-led CKAD training in Prague prepares developers for the Certified Kubernetes Application Developer exam through hands-on labs. It covers designing, building, and securing cloud-native apps using core Kubernetes concepts, deployment strategies, and networking fundamentals.
This instructor-led, live course in Prague 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 in Prague (online or onsite) is designed for engineers seeking to expand their Docker knowledge. It enables the deployment of applications at a larger scale while retaining control over operations.
By the end of the session, participants will be capable of:
Creating their own Docker images.
Deploying and managing extensive Docker application portfolios.
Evaluating and selecting the best container orchestration solution.
Implementing continuous integration workflows for Docker applications.
Integrating Docker applications into existing continuous integration ecosystems.
Fortifying the security posture of their Docker applications.
Delivered live by an instructor in Prague, this training delves into the core principles of Docker, enabling participants to automate the construction, shipment, and operation of applications within containers. Attendees will develop practical proficiency in Docker installation, image administration, network configuration, and registry management.
In this instructor-led live training in Prague, 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.
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.
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Testimonials (5)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
The trainer's broad knowledge, his abilities to solve issues that spontaneously occurred during the practice sessions. Also, the exercises themselves are adequate to help fix the subjects contained in the course.
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