Containers and Virtual Machines (VMs) Training Courses

Containers and Virtual Machines (VMs) Training Courses

Local instructor-led live Containers and Virtual Machines (VMs) training courses in България.

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Containers and Virtual Machines (VMs) Course Outlines

Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед
21 hours
Общ преглед
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 (onsite or remote) 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/
21 hours
Общ преглед
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 companyworldwide 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 (onsite or remote) is aimed at System Administrators, Kubernetes User swho 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/
14 hours
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Docker is an open-source platform for automating the process of building, shipping and running applications inside containers.

This instructor-led, live training (onsite or remote) 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.
- Secure their Docker applications.

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.
7 hours
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The Moby Project is an open-source library of components for assembling custom container-based systems. It provides a “Lego set” of dozens of components, a framework for assembling them into custom container-based systems, and a place for users to experiment and exchange ideas.

In this instructor-led, live training, participants will learn how to use Moby Project to assemble specialized container systems.

By the end of this training, participants will be able to:

- Assemble their own docker engine by stripping out unnecessary components
- Swap out build systems and volume management functions
- Use Moby tooling to define components (OS, hypervisor, etc.), then pack them into a chosen artifact
- Assemble a sample tiny OS that can be booted straight from bare metal

Audience

- Developers
- DevOps
- System administrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
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Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications. OpenShift is an cloud application development platform that uses Docker containers, orchestrated and managed by Kubernetes, on a foundation of Red Hat Enterprise Linux.

This instructor-led, live training (onsite or remote) 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.

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.
28 hours
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Kubeflow is a toolkit for making Machine Learning (ML) on Kubernetes easy, portable and scalable.

This instructor-led, live training (onsite or remote) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this training, participants will be able to:

- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

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 Kubeflow, please visit: https://github.com/kubeflow/kubeflow
14 hours
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Docker is an open-source platform for building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.

In this instructor-led, live training (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.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice.

Notes

- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.
14 hours
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This instructor-led, live training (onsite or remote) 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.
14 hours
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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.
14 hours
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Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure.

In this instructor-led, live training, 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

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.
21 hours
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The evolution of microservices and containers in recent years has significantly changed how we design, develop, deploy and run software. Modern applications must be optimized for scalability, elasticity, failure, and change. Driven by these new demands, modern architectures require a different set of patterns and practices. In this training, we examine ways to identify, understand and adjust to these new requirements.

Audience
This training is intended for people who are somewhat familiar with container technology and with Kubernetes concepts but are perhaps lacking the real world experience. It is based on use cases, and lessons learnt from real life projects with the intention of making people inspired to create and manage even better cloud native applications.

- Developers
- Operations
- DevOps
- QA Engineers
- IT Project Managers

Format of the Course

- Interactive lecture and discussion
- Lots of exercises and practice
- Handson implementation in a live-lab environment

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
14 hours
Общ преглед
Gitlab is a DevOps lifecycle platform that provides CI/CD features for project planning and management. Kubernetes is an orchestration system for automating application deployment. Using Gitlab and Kubernetes, users can automate builds and deployment to containerized cloud environments.

This instructor-led, live training (onsite or remote) is aimed 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.

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.
14 hours
Общ преглед
Kubernetes can be run on a variety of platforms, from a local server installation, to a virtual or bare-metal server in the cloud, to a SaaS based cloud service. In all cases, the Kubernetes ecosystem includes tools for installing, managing, and testing Kubernetes clusters.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to evaluate, select and deploy the most appropriate Kubernetes solution for their specific situation.

By the end of this training, participants will be able to:

- Install and configure a Kubernetes cluster on premise and in the cloud.
- Evaluate different cloud-hosted Kubernetes solutions and understand the advantages over a self-hosted approach.
- Compare different tools for testing, managing, and monitoring 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.
7 hours
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This course is addressed to Linux professionals (developers and system administrators) as a first introduction to container technologies. The course may also be interesting to people who are already familiar with Docker and want something else to compare it with. It is presented as a lecture with demonstrations that you can follow along on your Linux laptop.
14 hours
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MicroK8s is a CI/CD tool based on Kubernetes for tracking deployments. MicroK8s provides offline development, prototyping, and testing.

This instructor-led, live training (onsite or remote) is aimed at DevOps engineers who wish to use MicroK8s as a reliable k8s for CI/CD operations.

By the end of this training, participants will be able to:

- Build a Kubernetes system from scratch.
- Create and deploy containers with MicroK8s.
- Automate CI/CD operations in MicroK8s.

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.
21 hours
Общ преглед
Spring Cloud is an open-source lightweight microservices framework for building Java applications for the cloud.

Docker is an open-source platform for building, shipping and running applications inside containers. Docker lends itself well to the creation of microservice applications.

In this instructor-led, live training, 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.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Общ преглед
OKD is an application development platform for deploying containerized applications using Docker and Kubernetes. OKD is the the upstream code base upon which Red Hat OpenShift Online and Red Hat OpenShift Container Platform are built.

In this instructor-led, live training (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.

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.
21 hours
Общ преглед
OKD is an application development platform for deploying containerized applications using Docker and Kubernetes. OKD is the upstream code base upon which Red Hat OpenShift Online and Red Hat OpenShift Container Platform are built.

In this instructor-led, live training (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.

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.
28 hours
Общ преглед
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Google Cloud Platform (GCP).

By the end of this training, participants will be able to:

- Install and configure Kubernetes, Kubeflow and other needed software on GCP and GKE.
- Use GKE (Kubernetes Kubernetes Engine) to simplify the work of initializing a Kubernetes cluster on GCP.
- 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.
- Leverage other GCP services to extend an ML application.

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.
14 hours
Общ преглед
OpenStack is an open source cloud computing platform. Using OpenStack, users can manage public and private clouds while running Docker containers in cloud infrastructures.

This instructor-led, live training (onsite or remote) is aimed at cloud engineers who wish to use OpenStack and Docker to build, scale, and run containers in cloud infrastructures.

By the end of this training, participants will be able to:

- Build an application and containerize it from scratch.
- Improve the deployment of cloud infrastructures.
- Create a containerized OpenStack solution.
- Perform lifecycle management for cloud infrastructures.

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.
21 hours
Общ преглед
In this instructor-led, live training, participants will learn how to install, configure, and manage OpenShift Platform Container.

By the end of this training, participants will be able to:

- Create, configure, manage, and troubleshoot OpenShift clusters
- Secure OpenShift Platform Container
- Monitor and gather metrics
- Manage storage
- Quickly deploy applications on-premise, in public cloud or on a hosted cloud.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Общ преглед
OpenShift Container Platform is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat.

In this instructor-led, live training, 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:

- Automate part of the software delivery pipeline
- Implement user stories for an existing Java EE application
- Deploy an application to an OpenShift instance
- Apply the principles of the DevOps philosophy and enable continuous delivery of an application

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
Общ преглед
Jenkins is an open sourced automation server for continuous integration and continuous delivery (CI/CD). OpenShift is a containerization platform for managing infrastructures on the cloud or on-premise.

This instructor-led, live training (onsite or remote) 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.

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.
7 hours
Общ преглед
OSv is an open source operating system for the cloud.

In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment.

By the end of this training, participants will be able to:

- Run OSv on minimal memory and cpu overhead, compared to traditional OSs
- Install, configure and troubleshoot OSv
- Reduce the size and number of running OS instances
- Run large applications such as Cassandra on OSv

Audience

- System administrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Общ преглед
PouchContainer is a lightweight container engine based on the OCI (Open Container Initiative) standard.

This instructor-led, live training (onsite or remote) is aimed at developers who wish to build, ship, and run containerized applications using PouchContainer.

By the end of this training, participants will be able to:

- Install and configure PouchContainer.
- Set up and run a PouchContainer container.
- Use PouchContainer to deploy and manage containerized applications such as servers and web apps.
- Use the Dragonfly P2P-base distribution system to distribute container images at scale.

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 PouchContainer, please visit: https://github.com/alibaba/pouch
7 hours
Общ преглед
This instructor-led, live training (onsite or remote) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters.

By the end of this training, participants will be able to:

- Install and configure Prometheus.
- Monitor dynamic cloud environments
- Gain better insight into their Kubernetes clusters
- Set up alerts that are precise and insightful

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.
14 hours
Общ преглед
Kali Linux is a Linux distribution created for digital forensics and penetration testing. With Python, users can develop penetration testing programs in Kali Linux.

This instructor-led, live training (onsite or remote) is aimed at penetration testers, security engineers, and ethical hackers 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 code.

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.
14 hours
Общ преглед
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.
14 hours
Общ преглед
Rancher is an open source platform for managing Kubernetes on any infrastructure.

This instructor-led, live course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

By the end of this course, participants will be able to:

- Install and configure Rancher.
- Launch a Kubernetes cluster using RKE (Rancher Kubernetes Engine).
- Manage multiple cloud Kubernetes clusters while avoiding vendor lock-in.
- Manage Kubernetes clusters using their operating system and container engine of choice.

Format of the Course

- Part lecture, part discussion, heavy hands-on practice
14 hours
Общ преглед
Selenium is a framework that provides various tools for authoring software tests for web applications. Docker is a service platform for delivering software in containers. Selenium provides the ability to run tests inside of Docker containers in parallel.

This instructor-led, live training (onsite or remote) is aimed at software testers who wish to use Selenium to execute automation tests inside of Docker containers.

By the end of this training, participants will be able to:

- Create test automation infrastructure for on-demand testing.
- Develop a test automation framework using Java.
- Build a CI/CD pipeline from scratch with Jenkins and Docker.
- Autoscale infrastructures using cloud platforms.

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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