Online or onsite, instructor-led live Docker training courses demonstrate through interactive discussion and hands-on practice how to set up Docker for developing and deploying containerized applications.
Docker training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Docker trainings in podkarpackie can be carried out locally on customer premises or in NobleProg corporate training centers.
Docker training courses cover setup and management of Docker containers, including scaling and orchestration with Kubernetes.
NobleProg -- Your Local Training Provider
Rzeszów
RISE, Plac Wolności 13, Rzeszów, Poland, 35-073
The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.
The training room is located just 10 km southwest of Rzeszow, directly on the Rzeszow-Radom route, providing easy access from both cities. Additionally, its proximity to the A4 motorway and Jasionka airport facilitates transportation for both car travelers and those utilizing air transport.
This live training in podkarpackie automates Docker-based AI model builds and deployments via CI/CD. It covers packaging, testing, version control, and deployment strategies for MLOps. Participants gain practical skills in pipeline creation and secure container management.
This instructor-led training in podkarpackie covers deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants learn to build secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
In this instructor-led training in podkarpackie, technical professionals learn to build secure, portable AI inference microservices with Docker. Participants gain hands-on skills in containerizing models, securing services, and deploying consistently across local, server, or cloud environments.
In this instructor-led, live training in podkarpackie (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.
This instructor-led training in podkarpackie helps intermediate professionals configure and optimize GPU-enabled AI workloads within Docker containers. Participants learn to build CUDA-compatible images, manage multi-GPU tasks, and deploy scalable deep learning services for production environments.
This instructor-led training in podkarpackie guides professionals through containerizing complete ML pipelines using Docker. Participants will master building reproducible environments, orchestrating training and inference workloads, and implementing CI/CD for scalable MLOps deployments.
This instructor-led training in podkarpackie teaches intermediate professionals to containerize AI and ML workloads using Docker. Participants will learn to build optimized images, manage dependencies, and deploy reliable pipelines, gaining hands-on skills for consistent, portable production environments.
This instructor-led, live training in podkarpackie (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 podkarpackie (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 instructor-led, live training in podkarpackie covers the Certified Kubernetes Administrator (CKA) exam. It provides hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. Ideal for admins 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 gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.
This instructor-led CKAD training in podkarpackie 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 podkarpackie 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 covering the Kubernetes platform and its ecosystem. It is designed for participants with varying levels of experience, offering a full range of both fundamental and advanced Kubernetes features. The course covers key concepts such as Pods, Labels, Controllers, Services, Secrets, Persistent Data Volumes, Claims, Namespaces, Quotas, the Container Networking Model, Service Discovery, Scaling, Load Balancing, Cluster Management, Kubernetes Installation, Cluster Security, Access Control, High Availability of the Control Plane, Monitoring and Logging, Application Auto-Scaling, Advanced Scheduling, Microservices-Based Applications, Application Design Patterns, and Application Deployment on a Kubernetes Cluster.
This instructor-led, live training in podkarpackie (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:
Build their own Docker images.
Deploy and manager 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.
This instructor-led, live training in podkarpackie covers the core concepts of Docker, helping participants automate the process of building, shipping, and running applications inside containers. You will gain hands-on skills in Docker installation, image management, networking, and registries.
In this instructor-led, live training in podkarpackie, 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.
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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. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
multi-tiered, structured course programme.
Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker
Encouraging and openness to expanding the discussion on topics related to the training scope but with the specific context of our company
Michal Koscinski - Volkswagen Poznan Sp. z o.o.
Course - Docker, Kubernetes and OpenShift 3 for Administrators
Machine Translated
The training met expectations with its clear explanations, real-world examples, and hands-on labs that made complex topics easy to understand. It provided valuable insights into container orchestration, security, scaling and many other advanced topics.
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