由讲师进行实时指导的Kubernetes本地培训课程通过实践操作演示如何自动化、扩展和管理Kubernetes集群内的容器化应用程序。
Kubernetes培训形式包括“现场实时培训”和“远程实时培训”。现场实时培训可在客户位于中国的所在场所或NobleProg位于中国的企业培训中心进行，远程实时培训可通过交互式远程桌面进行。
NobleProg -- 您的本地培训提供商
客户评论
关于联系和相关技术的介绍讲解部分很不错。
鲁 男 - IBM
课程: Docker and Kubernetes
The subject, and trainer knowledge
Thiqha Business Services
课程: Docker, Kubernetes and OpenShift for Developers
布莱恩（Brian）对这个主题有很好的了解并且很好地解释
Francisco Demetrio Quitral - IMED S.A
课程: Rancher：管理你的Docker容器
Machine Translated
我们已经展示了kubectl命令如何在rancher界面和AWS服务中得到体现，这使得不同部分之间的交互方式非常清晰。
IMED S.A
课程: Rancher：管理你的Docker容器
Machine Translated
The techical knowlegde of the trainer about the subject so he can answer most of the questions.
Synchronoss Software Ireland Limited
课程: Docker and Kubernetes
The exercises
Van Tonilin Ramos - Temic Automotive Philippines
课程: Docker and Kubernetes
All
Eduardo Darroca Jr - Temic Automotive Philippines
课程: Docker and Kubernetes
It never felt like the pace was high but we still managed to cover many topics in only three days. I liked that Adriano did not stop the lecture to have us do labs. The style of trying out commands in the lab environment while watching and listening to the lecture was good in my opinion. Adriano was very flexible to answer questions that came up without getting distracted too much from the current topic.
Bolagsverket
课程: Docker and Kubernetes
所有
Mikael Larsson Österström - Bolagsverket
课程: Docker and Kubernetes
Machine Translated
The teacher has worked with the subject
Bolagsverket
课程: Docker and Kubernetes
The material in general. The trainer was very knowledgable.
MDA Systems Ltd.
课程: Kubernetes Advanced
培训师解释主题的方式以及使概念变得非常简单的人员。
Faten AlDawish - TAMKEEN TECHNOLOGIES COMPANY
课程: Docker和Kubernetes：构建和缩放容器化应用程序
Machine Translated
实验室和疑惑澄清
venkata velpuri - Charter Communications INC
课程: Kubernetes：基础到高级
Machine Translated
操作培训。
Charter Communications INC
课程: Kubernetes：基础到高级
Machine Translated
在培训期间，没有感到无聊的地方。
Charter Communications INC
课程: Kubernetes：基础到高级
Machine Translated
Fantastic delivery of the training, really enjoyable and all round good vibe throughout
Chris Brant - Hewlett Packard Enterprise
课程: Docker and Kubernetes
我喜欢在演讲中补充理论的例子。
Miłosz Gałązka - LPP S.A.
课程: OpenShift for Administrators
Machine Translated
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
课程: Docker and Kubernetes
Kamil's attitude and knowledge. Very friendly, highly knowledgeable about the subject, great listener.
TriOptima AB
课程: Docker and Kubernetes
Kamil's expertise 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++.
课程: Docker and Kubernetes
the intro and the structure of the slides
Abraxas Informatik AG
课程: Rancher：管理你的Docker容器
大量的练习和设置练习。
Atos Poland Global Services spółka z ograniczoną odpowiedzialnością
课程: Docker and Kubernetes
Machine Translated
Deep expertise of the faculty
课程: 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
课程: Docker and Kubernetes
Kamil's expertise 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++.
课程: Docker and Kubernetes
Deep expertise of the faculty
课程: Creating a Service Mesh with Istio and Kubernetes
Kubernetes子类别
Kubernetes课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
21小时
课程概览
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/
21小时
课程概览
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/
14小时
课程概览
Project Calico是一种用于容器和虚拟机的网络解决方案。最初是为OpenStack创建的，用于简化网络上的数据传输，如今它支持Kubernetes ， OpenShift ， Docker EE， OpenStack ，裸机服务等。 Calico使用IP路由而不是交换，虚拟网络，覆盖网络和其他复杂的解决方案来实现高效安全的网络连接。
这种由讲师指导的现场培训（现场或远程）面向希望使用简化的基于IP路由的方法联网Kubernetes集群的工程师。
在培训结束时，参与者将能够：
- 安装和配置Calico。
- 使用Calico为Kubernetes集群创建容器网络解决方案。
- 了解Calico与传统覆盖网络的不同之处。
- 了解Calico如何将互联网路由协议与基于共识的数据存储相结合。
- 使用Calico为Kubernetes提供安全的网络策略。
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
- 要了解有关Project Calico更多信息，请访问：https：//www.projectcalico.org/
这种由讲师指导的现场培训（现场或远程）面向希望使用简化的基于IP路由的方法联网Kubernetes集群的工程师。
在培训结束时，参与者将能够：
- 安装和配置Calico。
- 使用Calico为Kubernetes集群创建容器网络解决方案。
- 了解Calico与传统覆盖网络的不同之处。
- 了解Calico如何将互联网路由协议与基于共识的数据存储相结合。
- 使用Calico为Kubernetes提供安全的网络策略。
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
- 要了解有关Project Calico更多信息，请访问：https：//www.projectcalico.org/
28小时
课程概览
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.
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小时
课程概览
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
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小时
课程概览
Docker是一个开源平台，用于在容器内构建、运输和运行应用程序。Kubernetes则进一步提供在集群环境中大规模部署和管理容器化应用程序所需的工具。
在这一由讲师进行实时指导的培训中，学员将学习如何在容器内部署一系列示例服务器，然后在Kubernetes集群中自动化、扩展、管理他们的容器化服务器。培训还会涉及更高级的话题，指导学员学习如何保护、联网、监控一个Kubernetes集群。
在本次培训结束之后，参与者将能够：
- 设置并运行Docker容器
- 部署容器化数据库和服务器
- 创建Docker和Kubernetes集群
- 使用Kubernetes在同一集群下部署和管理不同的环境
- 保护、扩展、监控Kubernetes集群
受众
- 软件开发人员
- 架构师
- 部署工程师
课程形式
- 部分讲座、部分讨论、练习和大量实操
注意
- 本次培训将使用三个Docker示例镜像作为演示：Nginx、MongoDB、Tomcat。
- 如需不同的镜像或有其他定制的需求，请联系我们安排。
在这一由讲师进行实时指导的培训中，学员将学习如何在容器内部署一系列示例服务器，然后在Kubernetes集群中自动化、扩展、管理他们的容器化服务器。培训还会涉及更高级的话题，指导学员学习如何保护、联网、监控一个Kubernetes集群。
在本次培训结束之后，参与者将能够：
- 设置并运行Docker容器
- 部署容器化数据库和服务器
- 创建Docker和Kubernetes集群
- 使用Kubernetes在同一集群下部署和管理不同的环境
- 保护、扩展、监控Kubernetes集群
受众
- 软件开发人员
- 架构师
- 部署工程师
课程形式
- 部分讲座、部分讨论、练习和大量实操
注意
- 本次培训将使用三个Docker示例镜像作为演示：Nginx、MongoDB、Tomcat。
- 如需不同的镜像或有其他定制的需求，请联系我们安排。
14小时
课程概览
这种以讲师为主导的现场培训（现场或远程）是针对希望在大型Kubernetes集群中自动化，保护和监控集装箱化应用的Kubernetes 。
在培训结束时，参与者将能够：
- 使用Kubernetes在同一群集下部署和管理不同的环境
- 保护，扩展和监控Kubernetes集群
课程格式
- 互动讲座和讨论
- 大量的练习和练习
- 在实时实验室环境中亲自实施
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
在培训结束时，参与者将能够：
- 使用Kubernetes在同一群集下部署和管理不同的环境
- 保护，扩展和监控Kubernetes集群
课程格式
- 互动讲座和讨论
- 大量的练习和练习
- 在实时实验室环境中亲自实施
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
14小时
课程概览
EKS是AWS提供的自我管理的Kubernetes -a-service服务。 EKS具有完全可扩展性和可定制性，允许Kubernetes部署模拟和/或与现有的内部Kubernetes设置集成。
在这个以讲师为主导的现场培训中，参与者将学习如何使用Kubernetes在EKS上建立和管理生产规模的容器环境。
在培训结束时，参与者将能够：
- 在EKS上配置和管理Kubernetes
- 将现有Kubernetes环境从内部部署迁移到AWS云
- 将Kubernetes与第三方持续集成（CI）软件集成
- 确保Kubernetes高可用性和灾难恢复
- 了解并采用可用于有效管理EKS的工具
听众
- 开发商
- 系统管理员
- DevOps工程师
课程格式
- 在实况环境中进行部分讲座，部分讨论，练习和繁重的实践练习。
注意
- 要申请本课程的定制培训，请联系我们安排。
在这个以讲师为主导的现场培训中，参与者将学习如何使用Kubernetes在EKS上建立和管理生产规模的容器环境。
在培训结束时，参与者将能够：
- 在EKS上配置和管理Kubernetes
- 将现有Kubernetes环境从内部部署迁移到AWS云
- 将Kubernetes与第三方持续集成（CI）软件集成
- 确保Kubernetes高可用性和灾难恢复
- 了解并采用可用于有效管理EKS的工具
听众
- 开发商
- 系统管理员
- DevOps工程师
课程格式
- 在实况环境中进行部分讲座，部分讨论，练习和繁重的实践练习。
注意
- 要申请本课程的定制培训，请联系我们安排。
14小时
课程概览
Azure Kubernetes Service（AKS）是一种托管的Kubernetes服务，可简化Azure中Kubernetes集群的部署和管理。
在这一由讲师指导的实时培训中，学员将学习如何使用AKS上的Kubernetes搭建和管理生产规模的容器环境。
在培训结束时，学员将能够：
- 在AKS上配置和管理Kubernetes
- 部署、管理、扩展Kubernetes集群
- 在Azure上部署容器化（Docker）应用程序
- 将现有Kubernetes环境从本地迁移到AKS云
- 将Kubernetes与第三方持续集成（CI）软件集成
- 确保Kubernetes的高可用性和灾难恢复
受众
- 开发人员
- 系统管理员
- DevOps工程师
课程形式
- 在现场实验室环境中开展部分讲座、部分讨论、练习和大量实操
注意
- 如需本课程的定制培训，请联系我们以作安排。
在这一由讲师指导的实时培训中，学员将学习如何使用AKS上的Kubernetes搭建和管理生产规模的容器环境。
在培训结束时，学员将能够：
- 在AKS上配置和管理Kubernetes
- 部署、管理、扩展Kubernetes集群
- 在Azure上部署容器化（Docker）应用程序
- 将现有Kubernetes环境从本地迁移到AKS云
- 将Kubernetes与第三方持续集成（CI）软件集成
- 确保Kubernetes的高可用性和灾难恢复
受众
- 开发人员
- 系统管理员
- DevOps工程师
课程形式
- 在现场实验室环境中开展部分讲座、部分讨论、练习和大量实操
注意
- 如需本课程的定制培训，请联系我们以作安排。
14小时
课程概览
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.
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.
21小时
课程概览
近年来微服务和容器的发展极大地改变了我们设计，开发，部署和运行软件的方式。必须针对可伸缩性，弹性，故障和变化优化现代应用程序。在这些新需求的驱动下，现代架构需要不同的模式和实践。在本次培训中，我们将研究识别，理解和适应这些新要求的方法。
听众
此培训适用于对容器技术和Kubernetes概念有所了解但可能缺乏实际经验的人员。它基于用例和从现实生活项目中汲取的经验教训，旨在激励人们创建和管理更好的云原生应用程序。
- 开发商
- 操作
- DevOps
- QA工程师
- IT项目经理
课程格式
- 互动讲座和讨论
- 大量的练习和练习
- 在实时环境中实施Handson
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
听众
此培训适用于对容器技术和Kubernetes概念有所了解但可能缺乏实际经验的人员。它基于用例和从现实生活项目中汲取的经验教训，旨在激励人们创建和管理更好的云原生应用程序。
- 开发商
- 操作
- DevOps
- QA工程师
- IT项目经理
课程格式
- 互动讲座和讨论
- 大量的练习和练习
- 在实时环境中实施Handson
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
14小时
课程概览
Kubernetes可以在各种平台上运行，从本地服务器安装到云中的虚拟或裸机服务器，再到基于SaaS的云服务。在所有情况下， Kubernetes生态系统都包含用于安装，管理和测试Kubernetes集群的工具。
这种由讲师指导的现场培训（现场或远程）面向希望根据具体情况评估，选择和部署最合适的Kubernetes解决方案的工程师。
在培训结束时，参与者将能够：
- 在内部和云端安装和配置Kubernetes集群。
- 评估不同的云托管Kubernetes解决方案，并了解优于自托管方法的优势。
- 比较用于测试，管理和监控Kubernetes集群的不同工具。
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
这种由讲师指导的现场培训（现场或远程）面向希望根据具体情况评估，选择和部署最合适的Kubernetes解决方案的工程师。
在培训结束时，参与者将能够：
- 在内部和云端安装和配置Kubernetes集群。
- 评估不同的云托管Kubernetes解决方案，并了解优于自托管方法的优势。
- 比较用于测试，管理和监控Kubernetes集群的不同工具。
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
14小时
课程概览
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.
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小时
课程概览
OpenShift是在企业中部署Docker和Kubernetes的容器应用程序平台。它由Red Hat维护。 在这个有指导的实时培训中，参与者将学习如何安装，配置和管理OpenShift Platform Container。 在培训结束后，参与者将能够： 创建，配置，管理OpenShift集群并对其进行故障排除保护OpenShift平台容器监视和收集度量标准管理存储在公共云或托管云上快速部署应用程序。 听众 系统管理员建筑师开发商 课程的格式 部分讲座，部分讨论，练习和沉重的练习
21小时
课程概览
OpenShift容器平台是用于在企业中部署Docker和Kubernetes的容器应用程序平台。它由Red Hat维护。 在这个有指导的实时培训中，参与者将学习如何使用OpenShift Container Platform创建，更新和维护应用程序。 在培训结束后，参与者将能够： 自动化部分软件交付管道为现有的Java EE应用程序实现用户故事将应用程序部署到OpenShift实例应用DevOps理念的原则并支持应用程序的持续交付 听众 开发商 课程的格式 部分讲座，部分讨论，练习和沉重的练习
21小时
课程概览
PouchContainer是一个基于OCI（开放容器倡议）标准的轻量级容器引擎。
这一由讲师指导的实时培训（现场或远程）面向希望使用PouchContainer构建、运输、运行容器化应用程序的开发人员。
在本次培训结束后，学员将能够：
- 安装并配置PouchContainer。
- 设置并运行PouchContainer容器。
- 使用PouchContainer来部署和管理容器化应用程序，例如：服务器和Web应用程序。
- 使用Dragonfly基于P2P的分发系统大规模分发容器图像。
课程形式
- 互动讲座和讨论。
- 大量练习和实操。
- 在现场实验室环境中动手实现。
课程自定义选项
- 如需本课程的定制培训，请联系我们以作安排。
- 欲了解PouchContainer的更多信息，请访问：https://github.com/alibaba/pouch
这一由讲师指导的实时培训（现场或远程）面向希望使用PouchContainer构建、运输、运行容器化应用程序的开发人员。
在本次培训结束后，学员将能够：
- 安装并配置PouchContainer。
- 设置并运行PouchContainer容器。
- 使用PouchContainer来部署和管理容器化应用程序，例如：服务器和Web应用程序。
- 使用Dragonfly基于P2P的分发系统大规模分发容器图像。
课程形式
- 互动讲座和讨论。
- 大量练习和实操。
- 在现场实验室环境中动手实现。
课程自定义选项
- 如需本课程的定制培训，请联系我们以作安排。
- 欲了解PouchContainer的更多信息，请访问：https://github.com/alibaba/pouch
7小时
课程概览
这种由讲师指导的现场培训（现场或远程）面向希望使用Prometheus监控Kubernetes集群的系统管理员和开发人员。
在培训结束时，参与者将能够：
- 安装并配置Prometheus。
- 监控动态云环境
- 更好地了解他们的Kubernetes集群
- 设置精确且富有洞察力的警报
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
在培训结束时，参与者将能够：
- 安装并配置Prometheus。
- 监控动态云环境
- 更好地了解他们的Kubernetes集群
- 设置精确且富有洞察力的警报
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
28小时
课程概览
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 IBM Cloud Kubernetes Service (IKS).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on IBM Cloud Kubernetes Service (IKS).
- Use IKS to simplify the work of initializing a Kubernetes cluster on IBM Cloud.
- 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 IBM Cloud 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.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to IBM Cloud Kubernetes Service (IKS).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on IBM Cloud Kubernetes Service (IKS).
- Use IKS to simplify the work of initializing a Kubernetes cluster on IBM Cloud.
- 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 IBM Cloud 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.
28小时
课程概览
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 Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- 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 AWS managed 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.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- 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 AWS managed 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.
28小时
课程概览
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.
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.
21小时
课程概览
This Docker and Kubernetes training course is designed to provide attendees with a comprehensive foundation of Docker and Kubernetes technologies. The entire core features of Kubernetes is covered including, Pods, Labels, Volumes, Replication Controllers, Services and more. The course takes attendees from installation to management and usage through a combination of lecture and hands-on lab exercises where they will gain experience configuring and managing Kubernetes objects. In addition, this course will give attendees a solid understanding of Kubernetes including advanced features and security to run safety a Kubernetes cluster in production.
This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:
· Developers
· Operations
· DevOps
· QA Engineers
· IT Project Managers
This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:
· Developers
· Operations
· DevOps
· QA Engineers
· IT Project Managers
14小时
课程概览
这种由讲师指导的现场培训（现场或远程）面向希望在Kubernetes设置，部署和管理非Docker容器运行时的Kubernetes 。
在培训结束时，参与者将能够：
- 为Kubernetes安装和配置CRI插件API。
- 了解开放容器倡议（OCI）标准，确保不同运行时间之间的互操作性。
- 从Kubernetes运行不同的（ Docker和非Docker ）运行时。
- 实施轻量级虚拟化和其他隔离技术以提高安全性。
课程形式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
在培训结束时，参与者将能够：
- 为Kubernetes安装和配置CRI插件API。
- 了解开放容器倡议（OCI）标准，确保不同运行时间之间的互操作性。
- 从Kubernetes运行不同的（ Docker和非Docker ）运行时。
- 实施轻量级虚拟化和其他隔离技术以提高安全性。
课程形式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
14小时
课程概览
这种以讲师为主导的现场培训（现场或远程）是针对希望使用CRI-O容器运行时运行容器化应用程序的工程师。
在培训结束时，参与者将能够：
- 安装和配置CRI-O容器运行时。
- 从各种符合OCI的注册表中提取图像。
- 使用CRI-O运行，测试和管理容器化应用程序。
课程格式
- 互动讲座和讨论
- 大量的练习和练习
- 在实时实验室环境中亲自实施
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
- 要了解有关CRI-O更多信息，请访问：http：//cri-o.io/。
在培训结束时，参与者将能够：
- 安装和配置CRI-O容器运行时。
- 从各种符合OCI的注册表中提取图像。
- 使用CRI-O运行，测试和管理容器化应用程序。
课程格式
- 互动讲座和讨论
- 大量的练习和练习
- 在实时实验室环境中亲自实施
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
- 要了解有关CRI-O更多信息，请访问：http：//cri-o.io/。
21小时
课程概览
在AWS上部署Docker和Kubernetes有很多选项，包括Amazon Elastic Container Service，适用于Kubernetes Amazon ECS，AWS Fargate和Amazon EC2。
这种由讲师指导的现场培训（现场或远程）是针对希望评估这些服务中的每一项的工程师，以便在其组织内部署哪些服务时做出明智的决策。
在培训结束时，参与者将能够：
- 设置一个开发环境，其中包括开始开发所需的所有工具。
- 使用多种不同方法设置，配置和部署一系列演示容器。
- 了解AWS中不同Docker / Kubernetes解决方案之间的架构和设计差异。
- 自动部署Docker容器。
- 设置持续集成和部署管道。
- 将Docker和Kubernetes集成到现有的持续集成系统中。
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
这种由讲师指导的现场培训（现场或远程）是针对希望评估这些服务中的每一项的工程师，以便在其组织内部署哪些服务时做出明智的决策。
在培训结束时，参与者将能够：
- 设置一个开发环境，其中包括开始开发所需的所有工具。
- 使用多种不同方法设置，配置和部署一系列演示容器。
- 了解AWS中不同Docker / Kubernetes解决方案之间的架构和设计差异。
- 自动部署Docker容器。
- 设置持续集成和部署管道。
- 将Docker和Kubernetes集成到现有的持续集成系统中。
课程格式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在实时实验室环境中亲自实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们安排。
35小时
课程概览
OpenShift是一个部署Docker和Kubernetes的容器应用程序平台。它提供预定义的应用程序环境，帮助实现关键的DevOps原则，如面市时间的缩短、基础架构作为代码、持续集成（CI）和持续交付（CD）。OpenShift由Red Hat维护。
在这一由讲师引导的现场培训中，学员将学习如何管理在Docker、Kubernetes和Red Hat OpenShift容器平台上运行的容器。
在本次培训结束之后，参与者将能够：
- 创建、配置、管理和故障排除OpenShift集群
- 使用Kubernetes扩展应用程序部署
- 保护OpenShift平台容器
- 监控和收集指标
- 管理存储
- 在本地、公共云或托管云上快速部署应用程序。
受众
- 系统管理员
- 架构师
- 开发人员
课程形式
- 部分讲座、部分讨论、练习和大量实操
在这一由讲师引导的现场培训中，学员将学习如何管理在Docker、Kubernetes和Red Hat OpenShift容器平台上运行的容器。
在本次培训结束之后，参与者将能够：
- 创建、配置、管理和故障排除OpenShift集群
- 使用Kubernetes扩展应用程序部署
- 保护OpenShift平台容器
- 监控和收集指标
- 管理存储
- 在本地、公共云或托管云上快速部署应用程序。
受众
- 系统管理员
- 架构师
- 开发人员
课程形式
- 部分讲座、部分讨论、练习和大量实操
21小时
课程概览
Docker是一个开源平台，用于自动化在容器内部构建、运输和运行应用程序的过程。Kubernetes则进一步提供在集群环境中大规模部署和管理容器化应用程序所需的工具。
在这一讲师引导的培训中，参与者将学习如何创建和管理Docker容器，然后在容器内部署示例应用程序。参与者还将学习如何在Kubernetes集群中自动化、缩放、管理他们的容器化应用程序。最后，培训会涉及更高级的题目，指导参与者学习如何保护、缩放、监控一个Kubernetes集群。
在这次培训结束之后，参与者将能够：
- 设置并运行Docker容器
- 部署容器化服务器和Web应用程序
- 构建和管理Docker图像
- 创建Docker和Kubernetes集群
- 使用Kubernetes部署和管理集群化Web应用程序
- 保护、缩放、监控Kubernetes集群
受众
- 软件开发人员
- 架构师
- 部署工程师
课程形式
- 部分讲座、部分讨论、练习和大量实操
注意：
- Apache Tomcat和一个Java EE应用程序将用作容器化的演示服务器和应用程序，但*可能会有所调整*。如果您想查看本次培训所涉及的某个具体应用或相关工具或技术，请联系我们以作相应安排。
在这一讲师引导的培训中，参与者将学习如何创建和管理Docker容器，然后在容器内部署示例应用程序。参与者还将学习如何在Kubernetes集群中自动化、缩放、管理他们的容器化应用程序。最后，培训会涉及更高级的题目，指导参与者学习如何保护、缩放、监控一个Kubernetes集群。
在这次培训结束之后，参与者将能够：
- 设置并运行Docker容器
- 部署容器化服务器和Web应用程序
- 构建和管理Docker图像
- 创建Docker和Kubernetes集群
- 使用Kubernetes部署和管理集群化Web应用程序
- 保护、缩放、监控Kubernetes集群
受众
- 软件开发人员
- 架构师
- 部署工程师
课程形式
- 部分讲座、部分讨论、练习和大量实操
注意：
- Apache Tomcat和一个Java EE应用程序将用作容器化的演示服务器和应用程序，但*可能会有所调整*。如果您想查看本次培训所涉及的某个具体应用或相关工具或技术，请联系我们以作相应安排。
14小时
课程概览
本实践课程的目的是提供解决Docker和Kubernetes实际问题的所有工具，以便参与者可以依靠必要的技能来正确管理程序。
35小时
课程概览
Docker是一个开源平台，用于自动化在容器内构建，运送和运行应用程序的过程。 Kubernetes更进一步，提供了在集群环境中大规模部署和管理容器化应用程序所需的工具。 OpenShift Container Platform（以前称为OpenShift Enterprise）将Docker和Kubernetes整合到一个托管平台或PaaS（平台即服务）中，以进一步简化和简化Docker和Kubernetes的部署。它提供预定义的应用程序环境，有助于实现关键的DevOps原则，例如缩短上市时间，基础架构作为代码，持续集成（CI）和持续交付（CD）。 OpenShift容器平台由Red Hat维护。
在这个以讲师为主导的现场培训中，参与者将学习如何管理在Docker ， Kubernetes和Red Hat OpenShift Container Platform（ OpenShift ）上运行的容器。
在培训结束时，参与者将能够：
- 创建和配置OpenShift设置。
- 在本地，公共云或托管云上快速部署应用程序。
课程形式
- 部分讲座，部分讨论，练习和繁重的实践练习
在这个以讲师为主导的现场培训中，参与者将学习如何管理在Docker ， Kubernetes和Red Hat OpenShift Container Platform（ OpenShift ）上运行的容器。
在培训结束时，参与者将能够：
- 创建和配置OpenShift设置。
- 在本地，公共云或托管云上快速部署应用程序。
课程形式
- 部分讲座，部分讨论，练习和繁重的实践练习
28小时
课程概览
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and 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 an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- 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 AWS managed 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.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- 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 AWS managed 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.
21小时
课程概览
GitOps is Continuous Deployment of cloud-native applications based on Git and Kubernetes.
This instructor-led, live training (onsite or remote) 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.
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.
This instructor-led, live training (onsite or remote) 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.
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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