Explore Our Courses

Advanced Platform Engineering: Scaling with Microservices and Kubernetes

 35 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications 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.
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Minikube for Developers

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of 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.
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Introduction to Kubefirst

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level developers who wish 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.
  • Use Kubefirst API and libraries.
  • Profile and debug Kubefirst programs.
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Hyper-V Virtualization

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level system administrators who wish to effectively deploy, manage, and troubleshoot Hyper-V environments.By the end 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.
  • Monitor and optimize Hyper-V performance.
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Introduction to Minikube and Kubernetes

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish 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.
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Kubernetes & Cloud Native Associate (KCNA)

 35 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner to intermediate-level developers, system administrators, and DevOps engineers who wish to understand Kubernetes and cloud-native principles. By the end of this training, participants will be able to:
  • Set up a development environment that includes Kubernetes.
  • Create a microservices application using Kubernetes.
  • Deploy, manage, and scale applications in Kubernetes.
  • Debug common issues in Kubernetes environments.
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Docker and Kubernetes

 21 Hours
Training objectives: Acquire theoretical and operational skills on Docker and Kubernetes.
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Kubernetes from Basic to Advanced

 14 Hours
In this instructor-led, live training in the US (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.
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Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours
In this instructor-led, live training in the US (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.
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Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
The Certified Kubernetes Administrator (CKA) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).Kubernetes is nowadys a leading platform used for containers orchestration.NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training companies worldwide in field of containerization.Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.This instructor-led, live training (online or onsite) is aimed at System Administrators, Kubernetes users who wish to confirm their knowledge by passing CKA exam.On the other hand, training is focused also on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you don't intend to take CKA exam.Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
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Kubernetes on Azure (AKS)

 14 Hours
In this instructor-led, live training in the US (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.
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Docker (introducing Kubernetes)

 14 Hours
The objective of this practical course is to provide all the tools that address the practical aspects of Docker and Kubernetes, in order that the participants can count on the necessary skills for the proper management of the program.
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Docker, Kubernetes and OpenShift 3 for Administrators

 35 Hours
In this instructor-led, live training in the US, participants will learn how to manage Red Hat OpenShift Container Platform.By the end of this training, participants will be able to:
  • Create, configure, manage, and troubleshoot OpenShift clusters.
  • Deploy containerized applications on-premise, in public cloud or on a hosted cloud.
  • Secure OpenShift Container Platform
  • Monitor and gather metrics.
  • Manage storage.
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Docker, Kubernetes and OpenShift 3 for Developers

 35 Hours
In this instructor-led, live training in the US, participants will learn how to use OpenShift Container Platform to deploy containerized applications.By the end of this training, participants will be able to:
  • Create and configure an OpenShift setup.
  • Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
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Kubernetes Advanced

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster. By the end of this training, participants will be able to:
  • Use Kubernetes to deploy and manage different environments under the same cluster
  • Secure, scale and monitor a Kubernetes cluster
Format of the Course
  • Interactive lecture and discussion
  • Lots of exercises and practice
  • Hands-on implementation in a live-lab environment
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes. On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
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Managing Kubernetes with Rancher

 14 Hours
This instructor-led, live course in the US provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
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Creating a Service Mesh with Istio and Kubernetes

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., microservices) using an Istio-based service mesh. By the end of this training, participants will be able to:
  • Install and configure Istio on Kubernetes.
  • Understand service meshes and to implement one with Istio.
  • Deploy an Istio service mesh on top of Kubernetes.
  • Use a service mesh to run, manage and monitor microservices in the cloud.
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Microservice Development with Java EE 8, Docker, and Kubernetes

 28 Hours
This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud. By the end of this training, participants will be able to:
  • Build and deploy Java microservices in Docker containers.
  • Manage Docker containers using Kubernetes.
  • Integrate microservices with an existing monolithic system.
  • Monitor, test, and secure microservices.
  • Troubleshoot containers and orchestration environments.
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Kubernetes on AWS

 14 Hours
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup. In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on EKS
  • Migrate an existing Kubernetes environment from on-premise to AWS cloud
  • Integrate Kubernetes with third-party continuous integration (CI) software
  • Ensure high availability and disaster recovery in Kubernetes
  • Understand and adopt the tools available to efficiently manage EKS
Audience
  • Developers
  • System Administrators
  • DevOps Engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
  • To request a customized training for this course, please contact us to arrange.
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Deploying Kubernetes Applications with Helm

 7 Hours
This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications. By the end 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.
  • Manage releases of Helm packages.
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Kubernetes Networking with Calico

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters. By the end of this training, participants will be able to:
  • Install and configure Calico.
  • Understand how Calico differs from traditional overlay networks.
  • Understand how Calico combines internet routing protocols with consensus-based data stores.
  • Use Calico to create a container networking solution for Kubernetes clusters.
  • Use Calico to provide network policy for Kubernetes.
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Google Kubernetes Engine (GKE)

 14 Hours
In this instructor-led, live training in the US, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on Google Cloud.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Google Cloud.
  • Migrate an existing Kubernetes environment from on-premise to Google Cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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OKD (Origin Kubernetes Distribution) for Administrators

 21 Hours
In this instructor-led, live training in the US (onsite or remote), participants will learn how to how to install, configure, and manage OKD on-premise or in the cloud. By the end of this training, participants will be able to:
  • Create, configure, manage, and troubleshoot an OKD cluster.
  • Secure OKD.
  • Deploy containerized applications on OKD.
  • Monitor the performance of an application running in OKD.
  • Manage data storage.
  • Quickly deploy applications on-premise or on a public cloud such as AWS.
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Certified Kubernetes Security Specialist (CKS)

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam. By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.
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Docker and Kubernetes on AWS

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
  • Set up, configure and deploy a series of demo containers using a number of different approaches.
  • Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
  • Automate the deployment of Docker containers.
  • Set up a continuous integration and deployment pipeline.
  • Integrate Docker and Kubernetes into an existing continuous integration system.
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OKD (Origin Kubernetes Distribution) for Developers

 21 Hours
In this instructor-led, live training in the US (onsite or remote), participants will learn learn to create, update, and maintain containerized applications using OKD. By the end of this training, participants will be able to:
  • Deploy a containerized web application to an OKD cluster on-premise or in the cloud.
  • Automate part of the software delivery pipeline.
  • Apply the principles of the DevOps philosophy to ensure continuous delivery of an application.
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Kubernetes with Spinnaker

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at cloud engineers who wish to use Kubernetes and Spinnaker for CI/CD operations. By the end of this training, participants will be able to:
  • Build on the Kubernetes platform to accelerate cloud targeted deployments.
  • Integrate Spinnaker with Docker and Git for automating code to pipelines.
  • Automate and manage CD pipelines with CI tool options.
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Alpine Linux

 7 Hours
Alpine Linux is a security-oriented, lightweight (80 MB) Linux distribution based on musl libc and BusyBox. Alpine Linux is produced by the makers of Docker and is one of several in the recent proliferation of distros tailored for virtualization, containerization and the cloud. Alpine Linux replaces Ubuntu as the official base image for Docker containers. This training introduces Alpine Linux's architecture and walks participants step-by-step through the setup of Alpine Linux in a live lab environment. By the end of this training, participants will have the knowledge and practice to deploy Alpine Linux as the foundation for running containers in development, test and production environments. Audience
  • DevOps engineers
  • System administrators
  • Software engineers
Format of the course
  • Part lecture, part discussion, heavy hands-on practice
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DC/OS (Distributed Cloud Operating System)

 14 Hours
DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system built upon the Apache Mesos project. Apache Mesos was built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications such as Hadoop, Spark, Kafka and Elasticsearch with API’s for resource management and scheduling across entire datacenter and cloud environments. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. DC/OS brings together Mesos and more than 30 applications into one coherent system, similar to how a Linux distribution packages the Linux kernel with applications to create a working operating system. This course provides participants with an overview of Apache Mesos and DC/OS and demonstrates through hands-on practice how to deploy and manage a complete Data Center Operating System. Audience
  • System administrators
  • DevOps engineers
Format of the course
  • Part lecture, part discussion, heavy hands-on practice
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Podman Containers

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at DevOps engineers and developers who wish to use Podman to create, run, and manage containers and pods as a non-root user. By the end of this training, participants will be able to:
  • Install and configure Podman in rootless mode.
  • Build and run containers, container images, and pods.
  • Manage container networking and lifecycle.
  • Use Podman instead of Docker for creating and deploying containerized applications.
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Penetration Testing: Python and Kali Linux

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python. By the end of this training, participants will be able to:
  • Create Python programs to seek network vulnerabilities.
  • Explore and use Kali web shells and shellcode in exploits.
  • Apply various Kali tools for penetration testing.
  • Exploit systems with Python.
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Virtualization with QEMU, KVM and Libvirt

 14 Hours
This practical course contains topics addressed to system administrators, developers, embedded developers and ordinary desktop users (including managers) who would like to have an introduction to virtualization in general. After this course, administrators will be able to create private clouds for use in production, and developers will be able to test their code on multiple operating systems without needing a second PC or a non-x86 board. We understand that the set of topics presented in this course covered a wide range of subjects that might not be applicable for all customers. When booking this course, please specify what you wish to achieve using QEMU or KVM, and we will customize it by reallocating time from less relevant topics to the ones that would be important for you.
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Running Containers Directly from Kubernetes with CRI-O

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers wishing to run containerized applications using the CRI-O container runtime. By the end of this training, participants will be able to:
  • Install and configure the CRI-O container runtime.
  • Pull images from a variety of OCI-compliant registries.
  • Run, test and manage containerized applications using CRI-O.
Format of the Course
  • Interactive lecture and discussion
  • Lots of exercises and practice
  • Hands-on implementation in a live-lab environment
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about CRI-O, please visit: http://cri-o.io/.
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Heroku for Developers

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to use Heroku to conveniently deploy web and mobile applications to the cloud, without grappling with infrastructure setup, configuration, management, etc.By the end of this training, participants will be able to:
  • Understand the Heroku ecosystem and how it differs from AWS EC2 and other PaaS offerings.
  • Leverage Heroku features such as Git integration, Heroku CLI and Heroku Dashboard to push applications to the cloud with ease.
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Microsoft App-V: Implementing Enterprise Desktop Virtualization

 28 Hours
In this instructor-led, live training in the US, we introduce the architecture, components and processes behind application virtualization and walk participants step-by-step through the deployment of App-V and App-V applications in a live lab environment. By the end of the course, participants will have knowledge and hands-on practice needed to install, configure, administer, and troubleshoot App-V as well as create, package and deploy their own App-V applications.
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App-V: Advanced Techniques and Troubleshooting

 21 Hours
In this instructor-led, live training in the US, we cover advanced techniques and troubleshooting for Microsoft Application Virtualization (App-V), especially in the area of sequencing and packaging.By the end of the course, participants will have a deep understanding of App-V and be able to sequence, troubleshoot and resolve complex issues.
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Building OSGi Applications with Apache Karaf

 21 Hours
Apache Karaf is an OSGi based runtime for deploying containerized applications.In this instructor-led, live training (onsite or remote), participants will learn how to set up an OSGi based project as they step through the deployment of a modular Java application using Apache Karaf.By the end of this training, participants will be able to:
  • Install and configure Apache Karaf
  • Understand the essential features of the OSGi runtime environment
  • Develop a containerized application using the Apache Karaf run time environment
Audience
  • Architects
  • Developers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice.
Note
  • To request a customized training for this course, please contact us to arrange.
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Kubeflow on OpenShift

 28 Hours
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.
  • By the end of this training, participants will be able to:
  • Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
  • Use OpenShift to simplify the work of initializing a Kubernetes cluster.
  • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
  • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
  • Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.
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OpenShift 4 for Administrators

 35 Hours
In this instructor-led, live training in the US (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.By the end of this training, participants will be able to:
  • Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
  • Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
  • Create, configure, manage, and troubleshoot an OpenShift cluster.
  • Implement Openshift's self-manage capabilities to improve platform stability and consistency.
  • Secure OpenShift Container Platform.
  • Monitor and gather metrics.
  • Manage storage.
  • Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.
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OpenShift 4 for Developers

 35 Hours
In this instructor-led, live training in the US (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.By the end of this training, participants will be able to:
  • Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
  • Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.)
  • Automate the software delivery pipeline.
  • Apply DevOps principles to deliver software continuously.
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OpenShift with Jenkins

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at DevOps engineers who wish to use OpenShift and Jenkins to build, deploy, and manage container-based applications.By the end of this training, participants will be able to:
  • Build Jenkins pipelines in OpenShift.
  • Automate the lifecycle management for containerized applications and cluster infrastructures.
  • Orchestrate the deployment of CI/CD pipelines.
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Google Anthos for Hybrid and Multi-Cloud Computing

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure. By the end of this training, participants will be able to:
  • Set up Google Anthos on-premise or in the cloud.
  • Define, automate, and enforce policies across different environments.
  • Manage traffic between services.
  • Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
  • Implement security controls across all deployments.
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Running Kubernetes on Fedora CoreOS

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at DevOps engineers and developers who wish to use Fedora CoreOS to reduce the maintenance and upgrade costs of running  containerized applications on Kubernetes. By the end of this training, participants will be able to:
  • Install and configure Fedora CoreOS.
  • Set up Kubernetes cluster on Fedora CoreOS.
  • Run and manage Kubernetes deployments on Fedora CoreOS.
  • Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.
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GitOps Continuous Deployment for Kubernetes

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications. By the end of this training, participants will be able to:
  • Install and configure Spinnaker and Terraform.
  • Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
  • Move away from maintaining scripts. Configure and execute well-defined deployment process.
  • Apply best practices for cloud-native deployment, management, and monitoring.
  • Recover deployments from partial failures without manual intervention.
  • Create a GitOps strategy for application development.
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Java and Kubernetes for DevOps Engineers

 21 Hours
This instructor-led, live training the US (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications. By the end of this training, participants will be able to:
  • Set up the necessary development environment to build Java applications.
  • Understand the features and architecture of Kubernetes.
  • Learn about the key concepts and tools for DevOps.
  • Get a refresher on Java programming fundamentals.
  • Containerize Java microservices using Docker.
  • Build, scale, and deploy Java applications on Kubernetes.
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K3s for Building Lightweight Kubernetes Clusters

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to deploy a lightweight Kubernetes cluster quickly and with minimum fuss for testing and as well as for full-blown deployment of containerized applications in a production environment. By the end of this training, participants will be able to:
  • Install and launch K3s in a fraction of the time it takes to launch a regular Kubernetes cluster.
  • Run a cluster on smaller devices with as little as 512MB of RAM.
  • Set up and run pods on the master as well as on nodes.
  • Use K3s as a staging cluster for rapid testing and development.
  • Use K3s to to build single-node and clustered edge environments.
  • Manage hundreds of micro-clusters using K3s.
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KOps Fundamentals and HA Kubernetes Masters for Developers

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at developers and DevOps engineers who wish to learn and operate KOps for simplifying the process of continuous delivery and testing of containerized Kubernetes applications. By the end of this training, participants will be able to:
  • Setup and configure KOps along with other necessary Kubernetes tools for cloud-native development.
  • Understand KOps concepts that are foundational to DevOps practice.
  • Execute automated commands and generate file configurations.
  • Build automatic provisioning functions for Kubernetes masters and clusters.
  • Create manifests written in any supported Kubernetes syntax for API and component configuration.
  • Integrate KOps with any preferred cloud environment while implementing HA principles.
  • Generate better orchestration methods for handling Kubernetes clusters and projects.
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Kubernetes from Basic to Advanced (4 days)

 28 Hours
This instructor-led, live training in the US (online or onsite) is aimed at DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment. By the end of this training, participants will be able to:
  • Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
  • Set up, install, and configure a Kubernetes cluster for container orchestration.
  • Learn how to execute Kubernetes operations using the command line tools.
  • Get a hands-on experience from basic to advanced Kubernetes operations and administration.
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Kubernetes on Bare Metal

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to implement a Kubernetes cluster across both VMs and bare metal servers. By the end of this training, participants will be able to:
  • Install and configure Kubernetes on a bare metal server.
  • Integrate the processing power of Kubernetes nodes that run on both VMs and bare metal servers.
  • Maximize the performance of an application by giving it direct access to a server's hardware.
  • Leverage hardware accelerators such as GPUs, to further maximize application performance.
  • Scale a Kubernetes cluster to accommodate the most demanding needs in applications such as Machine Learning and AI.
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Microsoft Azure Infrastructure and Deployment

 35 Hours
Microsoft Azure Infrastructure and Deployment
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Testimonials(23)

he was patience and understood that we fall behind

Albertina - REGNOLOGY ROMANIA S.R.L.

Course - Deploying Kubernetes Applications with Helm

the technical preparation of teachers

Giorgio - Asystel-BDF S.p.A.

Course - Creating a Service Mesh with Istio and Kubernetes

It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.

Arturo Sánchez - INAIT SA

Course - Microsoft Azure Infrastructure and Deployment

How Interactive Reda would explain the information and get us to participate. He would also mention interesting facts along the way and share all the knowledge he has. Reda has excellent communication skills which makes online training really effective.

Janine - BMW SA

Course - Kubernetes Advanced

OC is new to us and we learnt alot and the labs were excellent

sharkey dollie

Course - OpenShift 4 for Administrators

He explained everything, not only k8s notions.

Stefan Voinea - EMAG IT Research S.R.L

Course - Certified Kubernetes Application Developer (CKAD) - exam preparation

Depth of knowledge of the trainer

Grant Miller - BMW

Course - Certified Kubernetes Administrator (CKA) - exam preparation

The training was more practical

Siphokazi Biyana - Vodacom SA

Course - Kubernetes on AWS

Very informative and to the point. Hands on pratice

Gil Matias - FINEOS

Course - Introduction to Docker

Excellent content

Alan Kavanagh - FINEOS Corporation Ltd

Course - Docker from Basic to Advanced

Learning about Kubernetes.

Felix Bautista - SGS GULF LIMITED ROHQ

Course - Kubernetes on Azure (AKS)

I liked the reactivity of Ahmed to each issue / question we raised and his ability to give clear answers to all of them, while providing further insight to other related issues we even may haven't thought of.

José Pérez - Fraunhofer IOSB

Course - Kubernetes and Gitlab

Labs and technical discussions.

Dinesh Panchal - AXA XL

Course - Advanced Docker

Que Brian tiene buen conocimiento del tema y explica bien

Francisco Demetrio Quitral - IMED S.A

Course - Rancher: administra tus contenedores Docker

It gave a good grounding for Docker and Kubernetes.

Stephen Dowdeswell - Global Knowledge Networks UK

Course - Docker (introducing Kubernetes)

Everything. It was very understandable, and if we didn't understand something, Adriano explained it.

Zsolt Nagy - W.UP Kft

Course - OpenShift Container Platform for Developers

I mostly enjoyed the knowledge of the trainer.

- Inverso Gesellschaft für innovative Versicherungssoftware mbH

Course - Docker, Kubernetes and OpenShift for Developers

Hands-on exercises to reinforce the concepts.

Josh Bjornson - Leonteq Securities AG

Course - Kubernetes from Basic to Advanced

There was a lot to lean, but it never felt rushed.

thomas gardner - National Oceanography Centre

Course - Docker, Kubernetes and OpenShift for Administrators

It is an in-deep Kubernetes training covering all important aspects to manage Kubernetes, be it in the cloud or on-premise, but the pace is gradual and well adjusted, so the training can be followed very well by students who have had no prior exposure to Kubernetes, as it builds up knowledge from the ground up.

Volker Kerkhoff

Course - Docker and Kubernetes: Building and Scaling a Containerized Application

I generally liked the trainer knowledge and enthusiasm.

Ruben Ortega

Course - Docker and Kubernetes

The trainer had the right skillets to help us in training.

Rexon Philip

Course - Container management with Docker

I generally enjoyed the content was interesting.

Leke Adeboye

Course - Docker for Developers and System Administrators

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