Local, instructor-led live Containers and Virtual Machines (VMs) training courses demonstrate through hands-on practice the fundamentals and advanced topics of Containers and Virtual Machines (VMs).
Containers and Virtual Machines (VMs) training is available as "onsite live training" or "remote live training". The US onsite live Containers and Virtual Machines (VMs) trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Testimonials
Very good information and well presented.
Cerner Corporation
Course: Docker for Developers and System Administrators
Learning about a subject, and then working through the labs hands-on was very helpful.
NetApp
Course: Docker and Kubernetes
I enjoyed the training material, the pace, Karls knowledge on K8s.
ajay malhotra - NetApp
Course: Docker and Kubernetes
Very knowledgeable, hands-on exercizes.
NetApp
Course: Docker and Kubernetes
Left us with course material which will be really useful later.
NetApp
Course: Docker and Kubernetes
I was benefit from the lots of great info on how to work with k8s.
NetApp
Course: Docker and Kubernetes
The labs do an okay job of introducing fluency in the kubernetes administration structure (e.g. commands to run, logs to view, etc.) and will help students to have a good basis for debugging a kubernetes system.
NetApp
Course: Docker and Kubernetes
I liked the doing lots of Labs and Handson Bonus on Ingress Great Rapport with everyone Starting and finishing every section on time. Neatly planned Great concepts.
Suresh Sanka - NetApp
Course: Docker and Kubernetes
I genuinely enjoyed the lecture and trainer interaction.
Matt - NetApp
Course: Docker and Kubernetes
I liked the instructors pace and the ability to answer questions. He was very patient and knowledgeable. I also like the fact that the labs weren't cumulative. This way, if something goes awry in an earlier lab, it isn't required in subsequent labs.
NetApp
Course: Docker and Kubernetes
It was a firehose of info about kubernetes.
Paul Brunck - NetApp
Course: Docker and Kubernetes
I liked working with GCE. It would have been much easier to make labs based on Minikube but the understanding of scale wouldn't have been as good.
NetApp
Course: Docker and Kubernetes
I liked the went deeper than what i've seen online, hands-on content.
Vince Taluskie - NetApp
Course: Docker and Kubernetes
I liked that we each had our own machines to play with.
NetApp
Course: Docker and Kubernetes
I generally liked the hands-on.
NetApp
Course: Docker and Kubernetes
The instructor really knew his stuff.
NetApp
Course: Docker and Kubernetes
I generally was benefit from the hands-on experience.
Chris Cochran - NetApp
Course: Docker and Kubernetes
The real examples and the practices.
Leonel Vazquez - Continental Automotive
Course: Docker and Kubernetes
That tools were provided by trainier for all of us.
Continental Automotive
Course: Docker and Kubernetes
I liked the experience that the trainer had to resolve the issues that appeared.
Rafael Patiño - Continental Automotive
Course: Docker and Kubernetes
All practice was 100% command line, for my perspective its better
Justin Morales - Continental Automotive
Course: Docker and Kubernetes
just getting a good intro to Kubernetes
Applied Systems, Inc.
Course: Kubernetes from Basic to Advanced
new topic - always good to learn something new
Michael Legg - Applied Systems, Inc.
Course: Kubernetes from Basic to Advanced
Trainer was very knowledgeable and engaged in answering questions and troubleshooting issues that came up for everyone.
Applied Systems, Inc.
Course: Kubernetes from Basic to Advanced
all
Mikael Larsson Österström - Bolagsverket
Course: Docker and Kubernetes
The teacher has worked with the subject
Bolagsverket
Course: Docker and Kubernetes
The material in general. The trainer was very knowledgable.
MDA Systems Ltd.
Course: Kubernetes Advanced
All the practice that from trainer prepared are very useful, we can just try them and ask questions in the course. And the Running_Notes at the end includes also very helpful information.
SoftingRom srl
Course: Docker for Developers and System Administrators
The fact that it had all resources available, and the amount of practical parts.
Robert Sarkozi - SoftingRom srl
Course: Docker for Developers and System Administrators
Our trainer was well prepared and had deep knowledge and understanding on the subject. The course was well structure and touched a wide range of topics. The hands-on exercizes were very useful to understand the course better.
SoftingRom srl
Course: Docker for Developers and System Administrators
The trainer's way to explain the subject and who to make the concept very simple.
Faten AlDawish - TAMKEEN TECHNOLOGIES COMPANY
Course: Docker and Kubernetes: Building and Scaling a Containerized Application
labs and doubts clarification
venkata velpuri - Charter Communications INC
Course: Kubernetes from Basic to Advanced
Handson training.
Charter Communications INC
Course: Kubernetes from Basic to Advanced
Did not felt any where bored during the training session.
Charter Communications INC
Course: Kubernetes from Basic to Advanced
Fantastic delivery of the training, really enjoyable and all round good vibe throughout
Chris Brant - Hewlett Packard Enterprise
Course: Docker and Kubernetes
We did small examples. I have seen a lot of huge config files and they always looked overwhelming. It was really nice to see small examples!
Marcus Nordberg - TriOptima AB
Course: Docker and Kubernetes
Kamil's attitude and knowledge. Very friendly, highly knowledgeable about the subject, great listener.
TriOptima AB
Course: Docker and Kubernetes
Kamil's expertize and patience while guiding me through some complex topics. His ability to spontaneously answer some difficult questions that I had about the material. I'd give him an A++.
Course: Docker and Kubernetes
the intro and the structure of the slides
Abraxas Informatik AG
Course: Managing Kubernetes with Rancher
Deep expertize of the faculty
Course: Creating a Service Mesh with Istio and Kubernetes
Kamil knows a lot about Kubernetes, and gives the impression he really enjoys working with it. He was able to give sessions and tasks for us to do based off of our requests and suggestions. Troubleshooting was deliberately built in to some exercizes - that was really useful too. The lab environment worked great.
Donald MacPhee - Origo
Course: Docker and Kubernetes
lot of information.
Global Knowledge Network Training Ltd
Course: Docker and Kubernetes
The training was in details with lots of practical example demo.
Juvena Yashmin - Global Knowledge Network Training Ltd
Course: Docker and Kubernetes
The knowledge of the trainer about the subject
Global Knowledge Network Training Ltd
Course: Docker and Kubernetes
got thorough knowledge of the container and kubernetes concepts
Global Knowledge Network Training Ltd
Course: Docker and Kubernetes
content prepared and shared are very much useful and we can't find them in google. so i am happy with that.
Mohamed Abubucker - Geidea
Course: Docker and Kubernetes
new system and technology to lear
Geidea
Course: Docker and Kubernetes
Trainer has broad knowledge and about subjects, the way he answer all the question and his patience of listening audience is highly appreciable . Trainer never always ready to stay with audience apart from given hours.. appreciate it.
Sourav Singh - Geidea
Course: Docker and Kubernetes
Adjusting to our needs
Sumitomo Mitsui Finance and Leasing Company, Limited
Course: Kubeflow
Lab session.
Faiyaz Ahmad Alam - Geidea
Course: Docker and Kubernetes
Kamil's expertize and patience while guiding me through some complex topics. His ability to spontaneously answer some difficult questions that I had about the material. I'd give him an A++.
Course: Docker and Kubernetes
Deep expertize of the faculty
Course: Creating a Service Mesh with Istio and Kubernetes
Containers and Virtual Machines (VMs) Subcategories
Containers and Virtual Machines (VMs) Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
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/
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
Overview
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/
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
Overview
This instructor-led, live training in the US (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.
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.
7 hours
Overview
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
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
Overview
This instructor-led, live training in the US (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.
- 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.
28 hours
Overview
This instructor-led, live training in the US (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.
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.
14 hours
Overview
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.
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.
14 hours
Overview
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.
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
Overview
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.
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
Overview
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.
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
Overview
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.
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
Overview
This instructor-led, live training in the US (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.
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.
14 hours
Overview
This instructor-led, live training in the US (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 an self-hosted approach.
- Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
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 an self-hosted approach.
- Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
7 hours
Overview
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
Overview
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.
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.
21 hours
Overview
In this instructor-led, live training in the US, 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.
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.
21 hours
Overview
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.
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.
21 hours
Overview
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.
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.
28 hours
Overview
This instructor-led, live training in the US (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.
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.
14 hours
Overview
This instructor-led, live training in the US (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.
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.
21 hours
Overview
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
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
Overview
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
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
Overview
This instructor-led, live training in the US (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.
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.
7 hours
Overview
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
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
Overview
This instructor-led, live training in the US (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.
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.
7 hours
Overview
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.
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
Overview
This instructor-led, live training in the US (onsite or remote) 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.
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.
14 hours
Overview
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.
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
Overview
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.
14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at DevOps engineers who wish to use Selenium to execute Selenium 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.
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.
Upcoming Containers and Virtual Machines (VMs) Courses
2020-07-13 09:30:00
NY, White Plains - White Plains
35 hours
2020-07-27 09:30:00
NY, Syracuse
35 hours
2020-09-14 09:30:00
NY, White Plains - White Plains
35 hours
2020-09-21 09:30:00
NY, Syracuse
35 hours
2020-11-16 09:30:00
NY, Syracuse
35 hours
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