NobleProg delivers high-quality Containers and Virtual Machines (VMs) training courses in Berlin, the dynamic heart of Germany's tech and innovation sector. Participants benefit from expert-led instruction tailored to the professional needs of the capital's diverse industry landscape. Join our Berlin-based programs to enhance your skills with hands-on learning experiences in a world-class urban environment.
Whether delivered online or on-site, our instructor-led live training courses on Containers and Virtual Machines (VMs) offer practical, hands-on experience in mastering both the fundamentals and advanced concepts of containerization and virtualization.
These courses are offered in two formats: "online live training" or "onsite live training." Online live training, also known as "remote live training," utilizes an interactive remote desktop for engagement. Onsite live training is conducted either at the client's premises in Berlin or within NobleProg's dedicated corporate training facilities in Berlin.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led live training in Berlin is dedicated to the deployment, orchestration, and optimization of AI workloads on Kubernetes-based edge environments. The curriculum addresses the setup of lightweight distributions, connectivity management, and performance tuning for resource-constrained nodes, making it ideal for advanced technical professionals.
Master AI-driven Kubernetes operations in Berlin through hands-on training. Apply ML for intelligent scheduling and autoscaling to optimize resource usage. Reduce costs and latency using predictive analytics and reinforcement learning models for real-world workloads.
This live training in Berlin empowers intermediate practitioners to develop automated MLOps pipelines on Kubernetes. Participants will learn to design CI/CD workflows, apply GitOps strategies, and deploy ML models using containerized infrastructure, ensuring scalable and reproducible machine learning operations.
This practical training in Berlin provides the necessary expertise to build, train, and deploy machine learning models on Kubernetes via Kubeflow. Participants will master navigating the ecosystem, developing scalable pipelines, and overseeing production-grade workloads using industry best practices.
This live training on Berlin focuses on automating Docker-based AI model builds and deployments using CI/CD. It explores packaging, testing, version control, and deployment strategies within MLOps. Participants will develop practical skills in pipeline creation and secure container management.
This live, instructor-led training is conducted Berlin (online or onsite) and targets advanced Kubernetes administrators and DevOps engineers seeking to improve their monitoring expertise using Prometheus and Grafana.
By the conclusion of this program, participants will be capable of:
Setting up Prometheus and Grafana for Kubernetes monitoring.
Monitoring critical metrics for pods, nodes, and services.
Building dynamic dashboards to visualize cluster health and performance.
Implementing alerting strategies to resolve issues proactively.
Applying best practices for scaling monitoring solutions in Kubernetes environments.
This instructor-led training in Berlin focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will learn to develop secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
This live Kubernetes course in Berlin walks IT specialists through foundational concepts and practical lab activities. You will learn to deploy, scale, and oversee containerized applications via kubectl, while configuring networking and storage, and effectively troubleshooting clusters.
This live, instructor-led training in Berlin (online or onsite) is designed for DevOps engineers and developers seeking to utilize Kubernetes to build, deploy, and manage containers and cluster components in a secure, scalable environment.
By the end of this training, participants will be able to:
Understand the architecture, core concepts, and components of the Kubernetes ecosystem.
Set up, install, and configure a Kubernetes cluster for container orchestration.
Learn to perform Kubernetes operations using command-line tools.
Gain hands-on experience ranging from basic to advanced Kubernetes operations and administration.
In this instructor-led training conducted in Berlin, technical professionals acquire the skills to build secure and portable AI inference microservices using Docker. Participants develop practical expertise in containerizing models, securing services, and achieving consistent deployment across local, server, or cloud environments.
In this instructor-led, live training in Berlin (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 on Berlin enables intermediate professionals to configure and fine-tune GPU-enabled AI workloads within Docker containers. Learners will gain skills in creating CUDA-compatible images, overseeing multi-GPU operations, and deploying scalable deep learning services for production use.
This live, instructor-led session, conducted in Berlin either remotely or in person, targets intermediate professionals eager to master the deployment, management, and scaling of containerized applications via Kubernetes.
Upon completion, participants will be equipped to:
Comprehend the Kubernetes architectural design and its core parts.
Utilize Namespaces to efficiently isolate system resources.
Control and adjust workloads using Deployments, StatefulSets, and DaemonSets.
Allocate and constrain computational resources through Requests and Limits.
Execute scheduled tasks with Jobs and CronJobs.
Understand internal Service communication and DNS resolution in Kubernetes.
Expose external access to applications via Ingress.
Administer ConfigMaps, Secrets, and Persistent Volumes.
Apply sophisticated strategies for cluster scaling and upgrades.
This live, instructor-led training in Berlin, available both online and onsite, is designed for intermediate to advanced developers, DevOps professionals, and architects seeking to build resilient applications through microservices, containers, and CI/CD pipelines.
Upon completion, participants will have the competence to:
Conceptualize and execute microservices architecture patterns.
Operate and govern containerized workloads using Docker and Kubernetes.
Configure and fine-tune CI/CD pipelines to facilitate automated deployments.
Integrate best practices for security, monitoring, and observability.
This instructor-led live training in Berlin (available online or onsite) targets advanced-level platform engineers and DevOps professionals aiming to master application scaling through microservices and Kubernetes.
Upon completion, participants will be equipped to:
Architect and implement scalable microservices structures.
Deploy and oversee applications within Kubernetes clusters.
Leverage Helm charts for streamlined service deployment.
Monitor and sustain the operational health of microservices in production environments.
Implement security and compliance best practices within a Kubernetes ecosystem.
Develop a solid grasp of containers, Kubernetes, and OpenShift through this practical, hands-on course tailored for developers, DevOps engineers, and IT professionals. You will master the creation of containerized applications, the deployment of workloads, and the management of Kubernetes resources, while leveraging OpenShift to enhance application delivery in both cloud and hybrid settings.
This instructor-led training in Berlin walks professionals through the process of containerizing entire ML pipelines with Docker. Learners will master creating reproducible environments, orchestrating training and inference workloads, and implementing CI/CD for scalable MLOps deployments.
This live, instructor-led training in Berlin guides intermediate professionals in containerizing AI and ML workloads with Docker. Learners will acquire the skills to build optimized images, manage dependencies, and deploy robust pipelines, developing practical expertise for creating consistent and portable production environments.
This instructor-led, live training in Berlin (offered online or on-site) is designed for beginner-level developers aiming to acquire foundational knowledge of Kubefirst and how it enhances the simplification, security, and acceleration of enterprise-scale Kubernetes and Swarm cluster management.
Upon completion of this training, participants will be equipped to:
Establish a Kubefirst development environment.
Create and execute basic Kubefirst programs.
Apply Kubefirst directives and clauses to annotate code.
Utilize the Kubefirst API and associated libraries.
This live, instructor-led session in Berlin (online or on-site) is tailored for intermediate developers and DevOps professionals aiming to incorporate Minikube into their development routines.
By the end of the program, attendees will be capable of:
Building and maintaining a local Kubernetes cluster with Minikube.
Deploying, administering, and troubleshooting applications on Minikube.
Embedding Minikube into CI/CD workflows.
Streamlining development processes through Minikube's sophisticated features.
Adhering to best practices for local Kubernetes environments.
This instructor-led, live training in Berlin (online or onsite) is designed for intermediate-level system administrators aiming to deploy, manage, and troubleshoot Hyper-V environments with proficiency.
By the conclusion of this training, participants will be able to:
Understand virtualization concepts and configure Hyper-V.
Create and manage virtual machines, VM storage, and networking.
Utilize advanced Hyper-V features and secure Hyper-V environments.
This live, instructor-led training—delivered either online or on-site—targets intermediate-level developers and DevOps engineers aiming to build, deploy, and manage microservices using Spring Cloud and Docker.
Upon completion of this training, participants will possess the capability to:
Engineer microservices leveraging Spring Boot and Spring Cloud.
Encapsulate applications using Docker and Docker Compose.
Implement service discovery, API gateways, and seamless inter-service communication.
Monitor and secure microservices within production environments.
Deploy and orchestrate microservices using Kubernetes.
This instructor-led, live training in Berlin (online or onsite) targets software developers and DevOps professionals from beginner to intermediate levels. It focuses on setting up and managing a local Kubernetes environment using Minikube.
By the end of the session, participants will be able to:
Install and configure Minikube on their local machines.
Comprehend the basic concepts and architecture of Kubernetes.
Deploy and manage containers using kubectl and the Minikube dashboard.
Establish persistent storage and networking solutions for Kubernetes.
Use Minikube for developing, testing, and debugging applications.
In this instructor-led, live training held Berlin (onsite or remote), participants will master the creation and management of Docker containers, followed by the deployment of a sample application within a container. The training also covers the automation, scaling, and management of containerized applications within a Kubernetes cluster. Finally, the course addresses advanced topics, guiding participants through the essential processes of securing, scaling, and monitoring a Kubernetes cluster.
By the end of this training, participants will be capable of:
Setting up and running a Docker container.
Deploying containerized server and web applications.
Building and managing Docker images.
Establishing a Docker and Kubernetes cluster.
Utilizing Kubernetes to deploy and manage a clustered web application.
Securing, scaling, and monitoring a Kubernetes cluster.
This instructor-led live training in Berlin covers the Certified Kubernetes Administrator (CKA) examination. It offers practical insights into Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or those looking to enhance their practical cluster management capabilities.
In this instructor-led, live training in Berlin (online or onsite), participants will acquire the skills to establish and administer a production-grade container environment using Kubernetes on AKS.
Upon completion of this course, participants will be equipped to:
Set up and administer Kubernetes instances on AKS.
Provision, oversee, and scale Kubernetes clusters effectively.
Deploy containerized applications (such as Docker) to the Azure platform.
Transition existing on-premise Kubernetes environments to the AKS cloud infrastructure.
Connect Kubernetes with third-party continuous integration (CI) tools.
Implement high availability strategies and disaster recovery protocols in Kubernetes.
Master the skills to build, deploy, and administer containerized environments utilizing 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 competencies required to operate modern container platforms and troubleshoot applications across both development and production landscapes.
This instructor-led training in Berlin empowers engineers to automate, secure, and monitor large-scale Kubernetes clusters. It covers the deployment of multi-environment applications, the implementation of high-availability strategies, and effective management of scaling and troubleshooting processes.
This instructor-led CKAD training in Berlin equips developers with the practical skills needed to succeed in the Certified Kubernetes Application Developer examination through hands-on laboratories. The curriculum focuses on the design, construction, and security of cloud-native applications by utilizing core Kubernetes concepts, advanced deployment strategies, and essential networking fundamentals.
This instructor-led, live training session at Berlin provides participants with a thorough introduction to Rancher, highlighting its capabilities while offering hands-on guidance for deploying and managing Kubernetes clusters.
Achieve proficiency with Istio on Kubernetes through this instructor-led course in Berlin. Learn to install, configure, and secure service meshes using mTLS and Zero Trust. Gain practical experience in traffic management, observability via Prometheus and Jaeger, and Calico integration for production-ready microservices.
This 21-hour training in Berlin delves into key Kubernetes design patterns for microservices. Learners will acquire foundational, behavioral, structural, and configuration strategies to construct resilient, scalable, and cloud-native applications through practical live-lab exercises.
This live, instructor-led training, delivered Berlin (either online or on-site), empowers engineers to leverage Helm for more efficient installation and management of Kubernetes applications.
By the conclusion of the session, participants will be equipped to:
Install and configure Helm.
Generate reproducible builds for Kubernetes applications.
Share applications through Helm charts.
Run third-party applications stored as Helm charts.
This instructor-led, live training in Berlin (delivered online or onsite) is designed for DevOps engineers aiming to utilize Kubernetes and Gitlab to automate the DevOps lifecycle.
By the end of this session, participants will be able to:
Automate application builds, tests, and deployments.
Construct an automated build infrastructure.
Deploy applications to containerized cloud environments.
This live, instructor-led course in Berlin (online or on-site) is tailored for Kubernetes professionals aiming to prepare for the CKS exam.
By the end of this training, participants will understand how to secure Kubernetes environments and container-based applications throughout various stages of the application lifecycle: build, deployment, and runtime.
This instructor-led, live training in Berlin (available online or on-site) is tailored for developers and DevOps engineers seeking to implement serverless strategies for constructing enterprise applications on Kubernetes.
By the conclusion of this program, participants will be able to:
Initialize and configure the Kubernetes environment to support serverless development workflows.
Comprehend the fundamental concepts and guiding principles of serverless environments.
Utilize the required toolchains for serverless development and integrate them with existing Kubernetes infrastructure.
Apply advanced Python programming skills to the implementation of serverless systems.
Ensure the security of enterprise applications deployed through serverless frameworks within Kubernetes.
Employ contemporary cloud computing techniques to enhance the efficiency of DevOps task processing workflows.
This instructor-led, live training in Berlin (online or onsite) targets engineers aiming to enhance their Kubernetes security posture beyond out-of-the-box settings.
By the end of the session, participants will have the capability to:
Recognize security gaps exposed by standard Kubernetes deployments.
Prevent unauthorized access to the Kubernetes API, data stores, and other critical services.
Safeguard the cluster from both inadvertent errors and targeted attacks.
Formulate a robust security strategy aligned with best practices.
This instructor-led, live training in Berlin (delivered online or onsite) is designed for engineers aiming to deepen their expertise in Docker, facilitating large-scale application deployment with maintained oversight.
By the end of this program, participants will possess the ability to:
Build proprietary Docker images.
Deploy and oversee large volumes of Docker applications.
Compare different container orchestration solutions and select the most appropriate one.
Configure a continuous integration workflow for Docker applications.
Integrate Docker applications with pre-existing continuous integration processes.
Fortify the security of their Docker applications.
This instructor-led training on Berlin enables participants to gain proficiency in creating OSGi applications with Apache Karaf. Learners will configure the runtime, master OSGi lifecycle concepts, and build modular Java applications through practical exercises and real-world deployment techniques.
This intensive 7-day program offers an in-depth, practical exploration of cloud-native application lifecycle management, leveraging contemporary DevOps methodologies.
Trainees will delve into constructing scalable microservice architectures, refining container ecosystems, and overseeing production workloads within Kubernetes. The curriculum addresses sophisticated release mechanisms, GitOps-driven automation, and observability standards to guarantee system stability and high performance.
Considerable emphasis is placed on resolving practical operational hurdles, such as incident management, chaos engineering, and diagnostic root cause identification. The program culminates in leveraging AI-driven utilities to enhance troubleshooting processes and expedite operational decision-making.
Upon completion, participants will possess a robust comprehension of constructing, releasing, monitoring, and sustaining resilient distributed systems within a Kubernetes-centric landscape.
This instructor-led live training in Berlin delves into the core principles of Docker, enabling participants to automate the build, ship, and run processes for containerized applications. You will develop practical skills in Docker installation, image management, networking strategies, and registry operations.
This instructor-led, live training in Berlin (online or onsite) targets intermediate to advanced DevOps engineers and system administrators who aim to deploy and manage self-hosted Kubernetes clusters without relying on cloud services.
By the end of this training, participants will be capable of: deploying production-ready Kubernetes clusters on bare-metal or virtual machines using kubeadm; configuring high-availability control planes and etcd clusters; implementing container networking and storage for self-managed environments; and setting up monitoring and observability using self-hosted solutions.
In this live, instructor-led training session, participants will acquire the essential skills required to build microservices using Spring Cloud and Docker. Learning is reinforced through practical exercises and the guided construction of sample microservices, ensuring a deep, applied understanding of the material.
Upon completion, participants will be equipped to:
Grasp the core concepts of microservice architecture.
Leverage Docker to create containerized environments for microservices.
Construct and release containerized microservices leveraging both Spring Cloud and Docker.
Connect microservices using service discovery mechanisms and the Spring Cloud API Gateway.
Execute comprehensive end-to-end integration tests using Docker Compose.
OpenShift stands as a premier Kubernetes-based platform for deploying and overseeing containerized applications in cloud, hybrid, and on-premises landscapes.
This practical training guides participants through the installation, administration, and troubleshooting of OpenShift clusters, while emphasizing security, networking, and storage best practices. Through real-world exercises, participants acquire the proficiency needed to confidently manage production-ready OpenShift environments.
Acquire the skills to develop, deploy, and manage containerized applications using OpenShift, a leading Kubernetes-based platform for cloud-native development. This practical training encompasses application deployment, containers, networking, CI/CD, and DevOps workflows, equipping participants with the capabilities to build and sustain modern applications in production environments.
This instructor-led, live training in Berlin (delivered online or onsite) is tailored for intermediate-level virtualization administrators looking to leverage open-source platforms to migrate their infrastructure away from VMware.
By the conclusion of this training, participants will be capable of:
Installing and configuring KVM, oVirt, and Proxmox VE.
Migrating virtual workloads previously hosted on VMware.
Implementing high availability and disaster recovery mechanisms.
Optimizing performance within open-source virtualization environments.
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Testimonials (8)
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
CI/CD Best Practices (gitflow and gitops), Application strategies, idempotency and drift, remote state management, Pod Disruption Budgets and Best Practices
McKayla Fusco - NSWC Dahlgren Division - DNA
Course - Resilient Architecture: Microservices, Containers, and CI/CD
basic understanding of container/kubernetes and how they interact
features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
Training being interactive. He engaged us a lot by asking questions and imaginary use cases. He shifted away from his agenda to explain more of the things we are demanded.
Berk Ozdilek - Deutsche Bank
Course - Kubernetes Advanced
Good and feasible exercises.
Jannes Wykhoff - Landesamt fur Geoinformation und Landesvermessung Niedersachsen (LGLN)
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