由講師進行實時指導的Kubernetes本地培訓課程通過實踐操作演示如何自動化、擴展和管理Kubernetes集群內的容器化應用程序。
Kubernetes培訓形式包括“現場實時培訓”和“遠程實時培訓”。現場實時培訓可在客戶位于台灣的所在場所或NobleProg位于台灣的企業培訓中心進行，遠程實時培訓可通過交互式遠程桌面進行。
NobleProg -- 您的本地培訓提供商
客戶評論
導師非常互動，反應靈敏，知識淵博。
Credit Suisse
課程: Docker and Kubernetes
Machine Translated
The labs and the discussion.
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Relaxed, easy going pace.
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
The exercise VMs were working quite well.
Philippe DEPRUGNEY - Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Resources preparation (VMs and such) and the ability to answer questions
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Kamil's pleasant way backed by his knowledge on the subject matter was the best part of this course
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
The trainer was extremely approachable and helpful and was able to solve any issues that we encountered in the class. Even after he had finished all of the planned course material he still stayed on late to answer questions some people in the course had.
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
The hands on exercises
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Kamil在短短3天內將我們所有人從Docker和Kubernetes新手帶到了自信的用戶（如果不是中小企業！）。他總是平易近人，耐心地回答我的問題。真正的紳士。
Patrick Kennedy - Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Machine Translated
Exercises, practical questions answered clearly
Mayeul Marguet - Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Go實際練習與理論OD組合，卡米爾了針對我們的需求以及聚焦訓練，儘管課程內容是非常廣泛的3天。
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
Machine Translated
The subject, and trainer knowledge
Thiqha Business Services
課程: Docker, Kubernetes and OpenShift for Developers
布萊恩（Brian）對這個主題有很好的知識，並且解釋得很好
Francisco Demetrio Quitral - IMED S.A
課程: Rancher: Manage Your Docker Containers
Machine Translated
我們已經展示了kubectl命令如何在rancher界面和AWS服務中得到體現，這使得不同部分之間的交互方式非常清晰。
IMED S.A
課程: Rancher: Manage Your Docker Containers
Machine Translated
The techical knowlegde of the trainer about the subject so he can answer most of the questions.
Synchronoss Software Ireland Limited
課程: Docker and Kubernetes
The exercises
Van Tonilin Ramos - Temic Automotive Philippines
課程: Docker and Kubernetes
All
Eduardo Darroca Jr - Temic Automotive Philippines
課程: 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
課程: Docker and Kubernetes
所有
Mikael Larsson Österström - Bolagsverket
課程: Docker and Kubernetes
Machine Translated
The teacher has worked with the subject
Bolagsverket
課程: Docker and Kubernetes
The material in general. The trainer was very knowledgable.
MDA Systems Ltd.
課程: Kubernetes Advanced
講師解釋主題的方法以及使概念變得非常簡單的人員。
Faten AlDawish - TAMKEEN TECHNOLOGIES COMPANY
課程: Docker and Kubernetes: Building and Scaling a Containerized Application
Machine Translated
實驗室和疑惑澄清
venkata velpuri - Charter Communications INC
課程: Kubernetes from Basic to Advanced
Machine Translated
操作培訓。
Charter Communications INC
課程: Kubernetes from Basic to Advanced
Machine Translated
Kubernetes子類別
Kubernetes課程大綱
課程名稱
課程時長
概觀
課程名稱
課程時長
概觀
21小時
概觀
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小時
概觀
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小時
概觀
Project Calico是一種用於容器和虛擬機的網絡解決方案。最初是為OpenStack創建的，用於簡化網絡上的數據傳輸，如今它支持Kubernetes ， OpenShift ， Docker EE， OpenStack ，裸機服務等。 Calico使用IP路由而不是交換，虛擬網絡，覆蓋網絡和其他復雜的解決方案來實現高效安全的網絡連接。
這種由講師指導的現場培訓（現場或遠程）面向希望使用簡化的基於IP路由的方法聯網Kubernetes集群的工程師。
在培訓結束時，參與者將能夠：
- 安裝和配置Calico。
- 使用Calico為Kubernetes集群創建容器網絡解決方案。
- 了解Calico與傳統覆蓋網絡的不同之處。
- 了解Calico如何將互聯網路由協議與基於共識的數據存儲相結合。
- 使用Calico為Kubernetes提供安全的網絡策略。
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
- 要了解有關Project Calico更多信息，請訪問：https：//www.projectcalico.org/
這種由講師指導的現場培訓（現場或遠程）面向希望使用簡化的基於IP路由的方法聯網Kubernetes集群的工程師。
在培訓結束時，參與者將能夠：
- 安裝和配置Calico。
- 使用Calico為Kubernetes集群創建容器網絡解決方案。
- 了解Calico與傳統覆蓋網絡的不同之處。
- 了解Calico如何將互聯網路由協議與基於共識的數據存儲相結合。
- 使用Calico為Kubernetes提供安全的網絡策略。
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
- 要了解有關Project Calico更多信息，請訪問：https：//www.projectcalico.org/
28小時
概觀
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小時
概觀
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小時
概觀
Docker是一個開源平台，用于在容器內構建、運輸和運行應用程序。Kubernetes則進一步提供在集群環境中大規模部署和管理容器化應用程序所需的工具。
在這一由講師進行實時指導的培訓中，學員將學習如何在容器內部署一系列示例服務器，然後在Kubernetes集群中自動化、擴展、管理他們的容器化服務器。培訓還會涉及更高級的話題，指導學員學習如何保護、聯網、監控一個Kubernetes集群。
在本次培訓結束之後，參與者將能夠：
- 設置並運行Docker容器
- 部署容器化數據庫和服務器
- 創建Docker和Kubernetes集群
- 使用Kubernetes在同一集群下部署和管理不同的環境
- 保護、擴展、監控Kubernetes集群
受衆
- 軟件開發人員
- 架構師
- 部署工程師
課程形式
- 部分講座、部分討論、練習和大量實操
注意
- 本次培訓將使用三個Docker示例鏡像作爲演示：Nginx、MongoDB、Tomcat。
- 如需不同的鏡像或有其他定制的需求，請聯系我們安排。
在這一由講師進行實時指導的培訓中，學員將學習如何在容器內部署一系列示例服務器，然後在Kubernetes集群中自動化、擴展、管理他們的容器化服務器。培訓還會涉及更高級的話題，指導學員學習如何保護、聯網、監控一個Kubernetes集群。
在本次培訓結束之後，參與者將能夠：
- 設置並運行Docker容器
- 部署容器化數據庫和服務器
- 創建Docker和Kubernetes集群
- 使用Kubernetes在同一集群下部署和管理不同的環境
- 保護、擴展、監控Kubernetes集群
受衆
- 軟件開發人員
- 架構師
- 部署工程師
課程形式
- 部分講座、部分討論、練習和大量實操
注意
- 本次培訓將使用三個Docker示例鏡像作爲演示：Nginx、MongoDB、Tomcat。
- 如需不同的鏡像或有其他定制的需求，請聯系我們安排。
14小時
概觀
這種以講師為主導的現場培訓（現場或遠程）是針對希望在大型Kubernetes集群中自動化，保護和監控集裝箱化應用的Kubernetes 。
在培訓結束時，參與者將能夠：
- 使用Kubernetes在同一群集下部署和管理不同的環境
- 保護，擴展和監控Kubernetes集群
課程格式
- 互動講座和討論
- 大量的練習和練習
- 在實時實驗室環境中親自實施
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
在培訓結束時，參與者將能夠：
- 使用Kubernetes在同一群集下部署和管理不同的環境
- 保護，擴展和監控Kubernetes集群
課程格式
- 互動講座和討論
- 大量的練習和練習
- 在實時實驗室環境中親自實施
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
14小時
概觀
EKS是AWS提供的自我管理的Kubernetes -a-service服務。 EKS具有完全可擴展性和可定制性，允許Kubernetes部署模擬和/或與現有的內部Kubernetes設置集成。
在這個以講師為主導的現場培訓中，參與者將學習如何使用Kubernetes在EKS上建立和管理生產規模的容器環境。
在培訓結束時，參與者將能夠：
- 在EKS上配置和管理Kubernetes
- 將現有Kubernetes環境從內部部署遷移到AWS雲
- 將Kubernetes與第三方持續集成（CI）軟件集成
- 確保Kubernetes高可用性和災難恢復
- 了解並採用可用於有效管理EKS的工具
聽眾
- 開發商
- 系統管理員
- DevOps工程師
課程格式
- 在實況環境中進行部分講座，部分討論，練習和繁重的實踐練習。
注意
- 要申請本課程的定制培訓，請聯繫我們安排。
在這個以講師為主導的現場培訓中，參與者將學習如何使用Kubernetes在EKS上建立和管理生產規模的容器環境。
在培訓結束時，參與者將能夠：
- 在EKS上配置和管理Kubernetes
- 將現有Kubernetes環境從內部部署遷移到AWS雲
- 將Kubernetes與第三方持續集成（CI）軟件集成
- 確保Kubernetes高可用性和災難恢復
- 了解並採用可用於有效管理EKS的工具
聽眾
- 開發商
- 系統管理員
- DevOps工程師
課程格式
- 在實況環境中進行部分講座，部分討論，練習和繁重的實踐練習。
注意
- 要申請本課程的定制培訓，請聯繫我們安排。
14小時
概觀
Azure Kubernetes Service（AKS）是一種托管的Kubernetes服務，可簡化Azure中Kubernetes集群的部署和管理。
在這一由講師指導的實時培訓中，學員將學習如何使用AKS上的Kubernetes搭建和管理生産規模的容器環境。
在培訓結束時，學員將能夠：
- 在AKS上配置和管理Kubernetes
- 部署、管理、擴展Kubernetes集群
- 在Azure上部署容器化（Docker）應用程序
- 將現有Kubernetes環境從本地遷移到AKS雲
- 將Kubernetes與第三方持續集成（CI）軟件集成
- 確保Kubernetes的高可用性和災難恢複
受衆
- 開發人員
- 系統管理員
- DevOps工程師
課程形式
- 在現場實驗室環境中開展部分講座、部分討論、練習和大量實操
注意
- 如需本課程的定制培訓，請聯系我們以作安排。
在這一由講師指導的實時培訓中，學員將學習如何使用AKS上的Kubernetes搭建和管理生産規模的容器環境。
在培訓結束時，學員將能夠：
- 在AKS上配置和管理Kubernetes
- 部署、管理、擴展Kubernetes集群
- 在Azure上部署容器化（Docker）應用程序
- 將現有Kubernetes環境從本地遷移到AKS雲
- 將Kubernetes與第三方持續集成（CI）軟件集成
- 確保Kubernetes的高可用性和災難恢複
受衆
- 開發人員
- 系統管理員
- DevOps工程師
課程形式
- 在現場實驗室環境中開展部分講座、部分討論、練習和大量實操
注意
- 如需本課程的定制培訓，請聯系我們以作安排。
14小時
概觀
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小時
概觀
近年來微服務和容器的發展極大地改變了我們設計，開發，部署和運行軟件的方式。必須針對可伸縮性，彈性，故障和變化優化現代應用程序。在這些新需求的驅動下，現代架構需要不同的模式和實踐。在本次培訓中，我們將研究識別，理解和適應這些新要求的方法。
聽眾
此培訓適用於對容器技術和Kubernetes概念有所了解但可能缺乏實際經驗的人員。它基於用例和從現實生活項目中汲取的經驗教訓，旨在激勵人們創建和管理更好的雲原生應用程序。
- 開發商
- 操作
- DevOps
- QA工程師
- IT項目經理
課程格式
- 互動講座和討論
- 大量的練習和練習
- 在實時環境中實施Handson
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
聽眾
此培訓適用於對容器技術和Kubernetes概念有所了解但可能缺乏實際經驗的人員。它基於用例和從現實生活項目中汲取的經驗教訓，旨在激勵人們創建和管理更好的雲原生應用程序。
- 開發商
- 操作
- DevOps
- QA工程師
- IT項目經理
課程格式
- 互動講座和討論
- 大量的練習和練習
- 在實時環境中實施Handson
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
14小時
概觀
Kubernetes可以在各種平台上運行，從本地服務器安裝到雲中的虛擬或裸機服務器，再到基於SaaS的雲服務。在所有情況下， Kubernetes生態系統都包含用於安裝，管理和測試Kubernetes集群的工具。
這種由講師指導的現場培訓（現場或遠程）面向希望根據具體情況評估，選擇和部署最合適的Kubernetes解決方案的工程師。
在培訓結束時，參與者將能夠：
- 在內部和雲端安裝和配置Kubernetes集群。
- 評估不同的雲託管Kubernetes解決方案，並了解優於自託管方法的優勢。
- 比較用於測試，管理和監控Kubernetes集群的不同工具。
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
這種由講師指導的現場培訓（現場或遠程）面向希望根據具體情況評估，選擇和部署最合適的Kubernetes解決方案的工程師。
在培訓結束時，參與者將能夠：
- 在內部和雲端安裝和配置Kubernetes集群。
- 評估不同的雲託管Kubernetes解決方案，並了解優於自託管方法的優勢。
- 比較用於測試，管理和監控Kubernetes集群的不同工具。
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
14小時
概觀
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小時
概觀
OpenShift是在企業中部署Docker和Kubernetes的容器應用程序平台。它由Red Hat維護。 在這個有指導的實時培訓中，參與者將學習如何安裝，配置和管理OpenShift Platform Container。 在培訓結束後，參與者將能夠： 創建，配置，管理OpenShift集群並對其進行故障排除保護OpenShift平台容器監視和收集度量標准管理存儲在公共雲或托管雲上快速部署應用程序。 聽衆 系統管理員建築師開發商 課程的格式 部分講座，部分討論，練習和沈重的練習
21小時
概觀
OpenShift容器平台是用于在企業中部署Docker和Kubernetes的容器應用程序平台。它由Red Hat維護。 在這個有指導的實時培訓中，參與者將學習如何使用OpenShift Container Platform創建，更新和維護應用程序。 在培訓結束後，參與者將能夠： 自動化部分軟件交付管道爲現有的Java EE應用程序實現用戶故事將應用程序部署到OpenShift實例應用DevOps理念的原則並支持應用程序的持續交付 聽衆 開發商 課程的格式 部分講座，部分討論，練習和沈重的練習
21小時
概觀
PouchContainer是一個基于OCI（開放容器倡議）標准的輕量級容器引擎。
這一由講師指導的實時培訓（現場或遠程）面向希望使用PouchContainer構建、運輸、運行容器化應用程序的開發人員。
在本次培訓結束後，學員將能夠：
- 安裝並配置PouchContainer。
- 設置並運行PouchContainer容器。
- 使用PouchContainer來部署和管理容器化應用程序，例如：服務器和Web應用程序。
- 使用Dragonfly基于P2P的分發系統大規模分發容器圖像。
課程形式
- 互動講座和討論。
- 大量練習和實操。
- 在現場實驗室環境中動手實現。
課程自定義選項
- 如需本課程的定制培訓，請聯系我們以作安排。
- 欲了解PouchContainer的更多信息，請訪問：https://github.com/alibaba/pouch
這一由講師指導的實時培訓（現場或遠程）面向希望使用PouchContainer構建、運輸、運行容器化應用程序的開發人員。
在本次培訓結束後，學員將能夠：
- 安裝並配置PouchContainer。
- 設置並運行PouchContainer容器。
- 使用PouchContainer來部署和管理容器化應用程序，例如：服務器和Web應用程序。
- 使用Dragonfly基于P2P的分發系統大規模分發容器圖像。
課程形式
- 互動講座和討論。
- 大量練習和實操。
- 在現場實驗室環境中動手實現。
課程自定義選項
- 如需本課程的定制培訓，請聯系我們以作安排。
- 欲了解PouchContainer的更多信息，請訪問：https://github.com/alibaba/pouch
7小時
概觀
這種由講師指導的現場培訓（現場或遠程）面向希望使用Prometheus監控Kubernetes集群的系統管理員和開發人員。
在培訓結束時，參與者將能夠：
- 安裝並配置Prometheus。
- 監控動態雲環境
- 更好地了解他們的Kubernetes集群
- 設置精確且富有洞察力的警報
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
在培訓結束時，參與者將能夠：
- 安裝並配置Prometheus。
- 監控動態雲環境
- 更好地了解他們的Kubernetes集群
- 設置精確且富有洞察力的警報
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
28小時
概觀
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小時
概觀
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小時
概觀
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小時
概觀
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小時
概觀
這種由講師指導的現場培訓（現場或遠程）面向希望在Kubernetes設置，部署和管理非Docker容器運行時的Kubernetes 。
在培訓結束時，參與者將能夠：
- 為Kubernetes安裝和配置CRI插件API。
- 了解開放容器倡議（OCI）標準，確保不同運行時間之間的互操作性。
- 從Kubernetes運行不同的（ Docker和非Docker ）運行時。
- 實施輕量級虛擬化和其他隔離技術以提高安全性。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
在培訓結束時，參與者將能夠：
- 為Kubernetes安裝和配置CRI插件API。
- 了解開放容器倡議（OCI）標準，確保不同運行時間之間的互操作性。
- 從Kubernetes運行不同的（ Docker和非Docker ）運行時。
- 實施輕量級虛擬化和其他隔離技術以提高安全性。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
14小時
概觀
這種以講師為主導的現場培訓（現場或遠程）是針對希望使用CRI-O容器運行時運行容器化應用程序的工程師。
在培訓結束時，參與者將能夠：
- 安裝和配置CRI-O容器運行時。
- 從各種符合OCI的註冊表中提取圖像。
- 使用CRI-O運行，測試和管理容器化應用程序。
課程格式
- 互動講座和討論
- 大量的練習和練習
- 在實時實驗室環境中親自實施
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
- 要了解有關CRI-O更多信息，請訪問：http：//cri-o.io/。
在培訓結束時，參與者將能夠：
- 安裝和配置CRI-O容器運行時。
- 從各種符合OCI的註冊表中提取圖像。
- 使用CRI-O運行，測試和管理容器化應用程序。
課程格式
- 互動講座和討論
- 大量的練習和練習
- 在實時實驗室環境中親自實施
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
- 要了解有關CRI-O更多信息，請訪問：http：//cri-o.io/。
21小時
概觀
在AWS上部署Docker和Kubernetes有很多選項，包括Amazon Elastic Container Service，適用於Kubernetes Amazon ECS，AWS Fargate和Amazon EC2。
這種由講師指導的現場培訓（現場或遠程）是針對希望評估這些服務中的每一項的工程師，以便在其組織內部署哪些服務時做出明智的決策。
在培訓結束時，參與者將能夠：
- 設置一個開發環境，其中包括開始開發所需的所有工具。
- 使用多種不同方法設置，配置和部署一系列演示容器。
- 了解AWS中不同Docker / Kubernetes解決方案之間的架構和設計差異。
- 自動部署Docker容器。
- 設置持續集成和部署管道。
- 將Docker和Kubernetes集成到現有的持續集成系統中。
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
這種由講師指導的現場培訓（現場或遠程）是針對希望評估這些服務中的每一項的工程師，以便在其組織內部署哪些服務時做出明智的決策。
在培訓結束時，參與者將能夠：
- 設置一個開發環境，其中包括開始開發所需的所有工具。
- 使用多種不同方法設置，配置和部署一系列演示容器。
- 了解AWS中不同Docker / Kubernetes解決方案之間的架構和設計差異。
- 自動部署Docker容器。
- 設置持續集成和部署管道。
- 將Docker和Kubernetes集成到現有的持續集成系統中。
課程格式
- 互動講座和討論。
- 大量的練習和練習。
- 在實時實驗室環境中親自實施。
課程自定義選項
- 要申請本課程的定制培訓，請聯繫我們安排。
35小時
概觀
OpenShift是一個部署Docker和Kubernetes的容器應用程序平台。它提供預定義的應用程序環境，幫助實現關鍵的DevOps原則，如面市時間的縮短、基礎架構作爲代碼、持續集成（CI）和持續交付（CD）。OpenShift由Red Hat維護。
在這一由講師引導的現場培訓中，學員將學習如何管理在Docker、Kubernetes和Red Hat OpenShift容器平台上運行的容器。
在本次培訓結束之後，參與者將能夠：
- 創建、配置、管理和故障排除OpenShift集群
- 使用Kubernetes擴展應用程序部署
- 保護OpenShift平台容器
- 監控和收集指標
- 管理存儲
- 在本地、公共雲或托管雲上快速部署應用程序。
受衆
- 系統管理員
- 架構師
- 開發人員
課程形式
- 部分講座、部分討論、練習和大量實操
在這一由講師引導的現場培訓中，學員將學習如何管理在Docker、Kubernetes和Red Hat OpenShift容器平台上運行的容器。
在本次培訓結束之後，參與者將能夠：
- 創建、配置、管理和故障排除OpenShift集群
- 使用Kubernetes擴展應用程序部署
- 保護OpenShift平台容器
- 監控和收集指標
- 管理存儲
- 在本地、公共雲或托管雲上快速部署應用程序。
受衆
- 系統管理員
- 架構師
- 開發人員
課程形式
- 部分講座、部分討論、練習和大量實操
21小時
概觀
Docker是一個開源平台，用于自動化在容器內部構建、運輸和運行應用程序的過程。Kubernetes則進一步提供在集群環境中大規模部署和管理容器化應用程序所需的工具。
在這一講師引導的培訓中，參與者將學習如何創建和管理Docker容器，然後在容器內部署示例應用程序。參與者還將學習如何在Kubernetes集群中自動化、縮放、管理他們的容器化應用程序。最後，培訓會涉及更高級的題目，指導參與者學習如何保護、縮放、監控一個Kubernetes集群。
在這次培訓結束之後，參與者將能夠：
- 設置並運行Docker容器
- 部署容器化服務器和Web應用程序
- 構建和管理Docker圖像
- 創建Docker和Kubernetes集群
- 使用Kubernetes部署和管理集群化Web應用程序
- 保護、縮放、監控Kubernetes集群
受衆
- 軟件開發人員
- 架構師
- 部署工程師
課程形式
- 部分講座、部分討論、練習和大量實操
注意：
- Apache Tomcat和一個Java EE應用程序將用作容器化的演示服務器和應用程序，但*可能會有所調整*。如果您想查看本次培訓所涉及的某個具體應用或相關工具或技術，請聯系我們以作相應安排。
在這一講師引導的培訓中，參與者將學習如何創建和管理Docker容器，然後在容器內部署示例應用程序。參與者還將學習如何在Kubernetes集群中自動化、縮放、管理他們的容器化應用程序。最後，培訓會涉及更高級的題目，指導參與者學習如何保護、縮放、監控一個Kubernetes集群。
在這次培訓結束之後，參與者將能夠：
- 設置並運行Docker容器
- 部署容器化服務器和Web應用程序
- 構建和管理Docker圖像
- 創建Docker和Kubernetes集群
- 使用Kubernetes部署和管理集群化Web應用程序
- 保護、縮放、監控Kubernetes集群
受衆
- 軟件開發人員
- 架構師
- 部署工程師
課程形式
- 部分講座、部分討論、練習和大量實操
注意：
- Apache Tomcat和一個Java EE應用程序將用作容器化的演示服務器和應用程序，但*可能會有所調整*。如果您想查看本次培訓所涉及的某個具體應用或相關工具或技術，請聯系我們以作相應安排。
14小時
概觀
本實踐課程的目的是提供解決Docker和Kubernetes實際問題的所有工具，以便參與者可以依靠必要的技能來正確管理程序。
35小時
概觀
Docker是一個開源平台，用於自動化在容器內構建，運送和運行應用程序的過程。 Kubernetes更進一步，提供了在集群環境中大規模部署和管理容器化應用程序所需的工具。 OpenShift Container Platform（以前稱為OpenShift Enterprise）將Docker和Kubernetes整合到一個託管平台或PaaS（平台即服務）中，以進一步簡化和簡化Docker和Kubernetes的部署。它提供預定義的應用程序環境，有助於實現關鍵的DevOps原則，例如縮短上市時間，基礎架構作為代碼，持續集成（CI）和持續交付（CD）。 OpenShift容器平台由Red Hat維護。
在這個以講師為主導的現場培訓中，參與者將學習如何管理在Docker ， Kubernetes和Red Hat OpenShift Container Platform（ OpenShift ）上運行的容器。
在培訓結束時，參與者將能夠：
- 創建和配置OpenShift設置。
- 在本地，公共雲或託管雲上快速部署應用程序。
課程形式
- 部分講座，部分討論，練習和繁重的實踐練習
在這個以講師為主導的現場培訓中，參與者將學習如何管理在Docker ， Kubernetes和Red Hat OpenShift Container Platform（ OpenShift ）上運行的容器。
在培訓結束時，參與者將能夠：
- 創建和配置OpenShift設置。
- 在本地，公共雲或託管雲上快速部署應用程序。
課程形式
- 部分講座，部分討論，練習和繁重的實踐練習
28小時
概觀
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小時
概觀
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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