Delivered either remotely or on-site, these live, instructor-led training programs offer a hands-on deep dive into the core principles and advanced capabilities of containers and virtual machines. Whether you prefer the flexibility of online sessions or the direct engagement of on-site workshops, the curriculum is designed to provide practical, real-world experience in managing these critical infrastructure components.
Container and VM training is offered in two distinct formats: "online live training" (also known as "remote live training") and "onsite live training." Online sessions are conducted via an interactive remote desktop environment, ensuring a seamless remote learning experience. For onsite training, sessions can be hosted directly at your customer premises in Milan or within NobleProg’s dedicated corporate training centers in Milan.
NobleProg -- Your Local Training Partner
Milan
NobleProg Milan, Via Scarlatti 4, Milan, italy, 20124
The meeting center is close to central part of the city and near the central station. It is easy to rech the place with the underground. In that neighbourhood there are many shops and restaurants.
This instructor-led, live training in Milan focuses on deploying, orchestrating, and optimizing AI workloads on Kubernetes-based edge environments. It covers setting up lightweight distributions, managing connectivity, and tuning performance for constrained nodes. Ideal for advanced practitioners.
Excel in AI-driven Kubernetes operations in Milan through immersive, hands-on training. Utilize ML to implement intelligent scheduling and autoscaling for optimal resource usage. Lower costs and reduce latency by applying predictive analytics and reinforcement learning models to real-world workloads.
This live training in Milan helps intermediate practitioners build automated MLOps pipelines on Kubernetes. Participants design CI/CD workflows, implement GitOps strategies, and deploy ML models using containerized infrastructure for scalable, reproducible machine learning operations.
This hands-on training in Milan equips you with the skills to build, train, and serve machine learning models on Kubernetes using Kubeflow. You will learn to navigate the ecosystem, author scalable pipelines, and manage production-ready workloads with best practices.
This live training in Milan 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, live training in Milan (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.
By the end of this training, participants will be able to:
Set up Prometheus and Grafana for Kubernetes monitoring.
Monitor key metrics for pods, nodes, and services.
Create dynamic dashboards to visualize cluster health and performance.
Implement alerting strategies for proactive issue resolution.
Apply best practices for scaling monitoring solutions in Kubernetes environments.
This instructor-led training in Milan 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.
This live Kubernetes training in Milan guides IT professionals through core concepts and hands-on lab work. Learn to deploy, scale, and manage containerized applications using kubectl, configure networking and storage, and troubleshoot clusters effectively.
This live, instructor-led training in Milan (delivered online or onsite) is designed for DevOps engineers and developers aiming to utilize Kubernetes for building, deploying, and managing containers and cluster components in a secure, scalable environment.
By the end of this course, participants will be capable of:
Comprehending the architecture, core concepts, and key components of the Kubernetes ecosystem.
Setting up, installing, and configuring Kubernetes clusters for container orchestration.
Executing Kubernetes operations effectively using command-line utilities.
Gaining extensive hands-on experience ranging from fundamental to advanced Kubernetes operations and administration.
In this instructor-led training in Milan, 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.
Through this instructor-led live training in Milan (onsite or remote), participants will learn how to deploy a set of sample servers inside containers. They will then master the automation, scaling, and management of these containerized servers within a Kubernetes cluster. The course progresses to more advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes cluster.
Upon completion of this training, participants will be capable of:
Setting up and running a Docker container.
Deploying containerized databases and servers.
Establishing a Docker and Kubernetes cluster.
Utilizing Kubernetes to deploy and manage diverse environments under a single cluster.
Securing, scaling, and monitoring a Kubernetes cluster.
This instructor-led training in Milan 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, live training in Milan (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.
By the end of this training, participants will be able to:
Understand the Kubernetes architecture and its components.
Isolate resources effectively using Namespaces.
Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
Define computational resources using Requests and Limits.
Work with Jobs and CronJobs for scheduled tasks.
Understand Services and DNS within Kubernetes.
Expose applications using Ingress.
Manage ConfigMaps, Secrets, and Persistent Volumes.
Scale and upgrade Kubernetes clusters using advanced strategies.
This instructor-led live training in Milan (online or onsite) is aimed at intermediate to advanced developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.
By the end of this training, participants will be able to:
Understand and implement microservices architecture.
Deploy and manage containerized applications with Docker and Kubernetes.
Set up and optimize CI/CD pipelines for automated deployments.
Apply best practices for security, monitoring, and observability.
This instructor-led, live training in Milan (online or onsite) targets advanced-level platform engineers and DevOps professionals who wish to master application scaling using microservices and Kubernetes.
By the end of this training, participants will be able to:
Design and implement scalable microservices architectures.
Deploy and manage applications on Kubernetes clusters.
Utilize Helm charts for efficient service deployment.
Monitor and maintain the health of microservices in production.
Apply best practices for security and compliance in a Kubernetes environment.
Discover the essentials of containers, Kubernetes, and OpenShift in a practical, hands-on training program tailored for developers, DevOps engineers, and IT professionals. Attendees will learn to build containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to accelerate modern application delivery across cloud and hybrid environments.
This instructor-led training in Milan 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 Milan equips intermediate professionals with the skills to containerize AI and ML workloads using Docker. Learners will master the creation of optimized images, dependency management, and the deployment of reliable pipelines, acquiring practical expertise for building consistent and portable production environments.
This instructor-led live training in Milan (online or onsite) is designed for beginner-level developers who want to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.
By the end of this training, participants will be able to:
Set up a Kubefirst development environment.
Write and run a basic Kubefirst program.
Annotate code with Kubefirst directives and clauses.
This instructor-led, live training in Milan (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within their development workflow.
By the end of this training, participants will be able to:
Set up and manage a local Kubernetes environment using Minikube.
Understand how to deploy, manage, and debug applications on Minikube.
Integrate Minikube into their continuous integration and deployment pipelines.
Optimize their development process using Minikube's advanced features.
Apply best practices for local Kubernetes development.
This instructor-led live training, conducted in Milan (either online or on-site), is designed for intermediate system administrators seeking to effectively deploy, manage, and troubleshoot Hyper-V environments.
By the conclusion of this program, participants will have the ability to:
Understand virtualization fundamentals and configure Hyper-V.
Create and manage virtual machines, VM storage, and networking.
Utilize advanced Hyper-V features and secure Hyper-V environments.
This instructor-led live training in Milan (online or onsite) targets intermediate-level developers and DevOps engineers who wish to construct, 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.
This instructor-led, live training in Milan (online or onsite) is tailored for software developers and DevOps professionals at beginner to intermediate levels who want to learn how to set up and manage a local Kubernetes environment using Minikube.
By the end of this training, participants will be able to:
Install and configure Minikube on their local machine.
Understand the basic concepts and architecture of Kubernetes.
Deploy and manage containers using kubectl and the Minikube dashboard.
Set up persistent storage and networking solutions for Kubernetes.
Utilize Minikube for developing, testing, and debugging applications.
In this instructor-led, live training in Milan (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 Milan prepares you for the Certified Kubernetes Administrator (CKA) exam. It offers hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or looking to enhance their practical cluster management skills.
In this instructor-led live training in Milan (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
Configure and manage Kubernetes on AKS.
Deploy, manage and scale a Kubernetes cluster.
Deploy containerized (Docker) applications on Azure.
Migrate an existing Kubernetes environment from on-premise to AKS cloud.
Integrate Kubernetes with third-party continuous integration (CI) software.
Ensure high availability and disaster recovery in Kubernetes.
Acquire the skills to build, deploy, and administer containerized environments utilizing Docker, Kubernetes, and OpenShift. This five-day, hands-on training encompasses container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will gain the necessary competencies to operate modern container platforms and troubleshoot applications across both development and production environments.
This instructor-led training in Milan empowers engineers to automate, secure, and monitor large-scale Kubernetes clusters. The curriculum covers deploying multi-environment applications, implementing high-availability strategies, and effectively managing scaling and troubleshooting.
This instructor-led CKAD training in Milan equips developers with the skills necessary to pass the Certified Kubernetes Application Developer exam through comprehensive hands-on labs. The curriculum covers the design, construction, and security of cloud-native applications by focusing on core Kubernetes concepts, deployment strategies, and fundamental networking.
This instructor-led, live course in Milan provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
Master the integration of Istio on Kubernetes through this instructor-led course in Milan. Gain practical skills in installing, configuring, and securing service meshes using mTLS and Zero Trust principles. Develop hands-on expertise in traffic management, observability using Prometheus and Jaeger, and Calico integration to build production-ready microservices.
This 21-hour training in Milan explores essential Kubernetes design patterns for microservices. Participants will learn foundational, behavioral, structural, and configuration strategies to build resilient, scalable, and cloud-native applications through hands-on live-lab exercises.
This instructor-led, live training in Milan (online or onsite) is designed for engineers looking to leverage Helm to simplify the installation and management of Kubernetes applications.
Upon completion of this training, participants will be able to:
Install and configure Helm.
Create reproducible builds of Kubernetes applications.
Share applications as Helm charts.
Run third-party applications saved as Helm charts.
This instructor-led, live training in Milan (online or onsite) is targeted at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle.
By the end of this training, participants will be able to:
Automate application builds, tests, and deployments.
Create an automated build infrastructure.
Deploy an application to a containerized cloud environment.
This live, instructor-led training in Milan (online or onsite) is designed for Kubernetes practitioners seeking to prepare for the CKS exam.
Upon completion, participants will understand how to secure Kubernetes environments and container-based applications throughout the application lifecycle, covering the build, deployment, and runtime stages.
This instructor-led, live training in Milan (available online or onsite) targets developers and DevOps engineers who wish to leverage a serverless approach for developing enterprise applications on Kubernetes.
By the end of this course, participants will be able to:
Set up and configure the Kubernetes system to initiate development with a serverless architecture.
Comprehend the foundational concepts and principles of serverless environments.
Manage the toolchains required for serverless development and integrate them with Kubernetes components.
Apply their Python programming skills to implement serverless systems.
Secure enterprise applications deployed through a serverless framework on Kubernetes.
Utilize modern cloud computing methods to optimize DevOps task processing workflows.
This instructor-led live training in Milan (online or onsite) is designed for engineers seeking to enhance Kubernetes cluster security beyond default settings.
By the end of this training, participants will be able to:
Identify vulnerabilities exposed by a default Kubernetes installation.
Prevent unauthenticated access to the Kubernetes API, database, and other services.
Protect the Kubernetes cluster from accidental or malicious access.
Formulate a comprehensive security policy and a set of best practices.
This live, instructor-led training on Milan (delivered online or onsite) is designed for engineers seeking to expand their Docker proficiency. It focuses on deploying applications at scale while ensuring robust control and management.
By the end of the program, participants will be able to:
Create proprietary Docker images.
Manage the deployment of extensive Docker application portfolios.
Evaluate and select the optimal container orchestration solution.
Implement continuous integration processes for Docker applications.
Seamlessly integrate Docker applications with existing continuous tooling.
Fortify the security of their Docker applications.
This seven-day program offers a thorough, practical exploration of designing, deploying, and managing cloud-native applications using contemporary DevOps methodologies.
Attendees will learn to design scalable microservice architectures, optimize container environments, and handle production workloads with Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and performance.
The program emphasizes real-world operational challenges, such as incident response, failure simulation, and root cause analysis. It concludes with the integration of AI-powered tools to enhance troubleshooting capabilities and streamline operational decision-making.
Upon completion, participants will possess a solid understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes environment.
This instructor-led live training held in Milan delves into the fundamental concepts of Docker, enabling participants to automate the lifecycle of building, shipping, and running applications within containers. You will acquire practical skills in Docker installation, image management, networking, and registry operations.
This instructor-led, live training in Milan (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.
By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.
During this instructor-led, live training held in Milan, participants will acquire the essential skills for building microservices using Spring Cloud and Docker. Knowledge is reinforced through exercises and the incremental development of sample microservices.
By the conclusion 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 stands as one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.
This hands-on training educates participants on how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.
Discover how to develop, deploy, and manage containerized applications with OpenShift, a leading Kubernetes-based platform for cloud-native development. This practical training covers application deployment, containers, networking, CI/CD, and DevOps workflows, providing participants with the skills to build and maintain modern applications in production environments.
Questo corso avanzato in Milan copre storage, backup, alta disponibilità e sicurezza su Proxmox VE. Attraverso esercitazioni pratiche, i partecipanti imparano a gestire cluster, integrare Ceph e ZFS, e implementare strategie di disaster recovery efficaci e sicure.
This instructor-led, live training in Milan (online or onsite) targets intermediate-level virtualization administrators who wish to utilize open-source platforms to migrate away from VMware.
By the end of this training, participants will be able to:
Install and configure KVM, oVirt, and Proxmox VE.
Migrate virtual workloads from VMware.
Implement high availability and disaster recovery.
Optimize performance in open-source virtualization environments.
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Testimonials (6)
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
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
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