
由本地講師指導的實時AWS(Amazon Web Services )培訓課程通過交互式動手實踐演示了AWS的基礎知識和高級概念。 AWS培訓可作為“現場實時培訓”或“遠程實時培訓”使用。現場現場培訓可以在當地的客戶場所進行台灣或在NobleProg公司培訓中心台灣 。遠程實時培訓是通過交互式遠程桌面進行的。 NobleProg-您當地的培訓機構
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客戶評論
加布里埃爾非常有條理,為這次培訓做好了準備。他回答了所有問題並澄清了AWS的概念和架構。幹得好,加布里埃爾。
Mircea Turcu
課程: AWS Architect Certification
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我從相關主題的報導和討論/關注所需主題中受益。
vasanth kumar - HGS - Hinduja Global Solutions
課程: AWS Architect Certification
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我真的很喜歡這項新技術。
PCCW
課程: AWS Developer Associate
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例子, 材料的準備, 培訓師的知識水準, 優秀的溝通
Michał Krasucki - Instytut Lotnictwa
課程: AWS Developer Associate
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練習部件
Instytut Lotnictwa
課程: AWS Developer Associate
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培訓是實用的, 它有利於瞭解如何逐步使用 AWS
PCCW
課程: AWS Developer Associate
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講師的知識是驚人的,以及解釋的清晰。
CARGLASS, S.L.
課程: AWS Architect Certification
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所有有理論介紹,然後通過一個例子覆蓋。我喜歡,因為主持人不知道什麼(如問題的答案),他說,他不知道,但會檢查休息,並將回到這一點。我最喜歡使用 SNS、Lambd、Dynamo、EC2 和 API Gateaway 的例子 - 一個特定的應用程式和服務之間的集成。
Marcel Kończyk - NetworkedAssets Sp. z o.o.
課程: AWS CloudFormation
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培訓師很好 - 願意分享,提問和回答問題。 培訓師第一手分享不同類型的物聯網、不同的應用(例如榴園)演示部分。
Makers' Academy
課程: Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
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一切都很好, 沒什麼可改進的
Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.
課程: AWS Lambda for Developers
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主題:負載平衡;從範本創建EC2實例;DynamoDb, S3 桶, 蘭姆達 我也喜歡所有現場的例子。
GE Medical Systems Polska Sp. Z O.O.
課程: AWS Architect Certification
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實驗室和午餐
Comp S.A
課程: Terraform on AWS
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演示者的準備程度、知識的組織、其傳播形式。
Łukasz Pisarczyk - Comp S.A
課程: Terraform on AWS
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配方,西紅柿
Robert Grabowski - Comp S.A
課程: Terraform on AWS
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Amazon Web Services子類別
AWS課程大綱
- Implement event-driven best practices in designing serverless applications using appropriate AWS services.
- Build serverless applications using AWS services.
- Monitor, secure, and scale serverless applications on AWS.
- Utilize different developer tools to configure and automate serverless application deployment.
- Create and maintain a list of serverless resources that will aid in serverless application development.
- 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
- Developers
- System Administrators
- DevOps Engineers
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
- 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。
- 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。
- 要申請本課程的定制培訓,請聯繫我們安排。
- 使用DevOps方法背後的主要概念和實踐
- 在AWS上設計和實現支持一個或多個DevOps開發項目的基礎架構
- 使用AWS CloudFormation和AWS OpsWorks部署為軟件開發項目創建開發,測試和生產環境所必需的基礎架構
- 使用AWS CodeCommit並了解用於在AWS上啟用持續集成環境的選項數組
- 使用AWS CodePipeline在AWS上設計和實施持續集成和交付管道
- 使用AWS技術實施幾個常見的持續部署用例,包括藍/綠部署和A / B測試
- 區分AWS上可用的應用程序部署技術陣列(包括AWS CodeDeploy,AWS Opsworks,AWS Elastic Beanstalk,Amazon EC2容器服務和Amazon EC2容器註冊表),並確定哪種技術最適合給定方案
- 微調您在AWS上提供的應用程序以獲得高性能,並使用AWS工具和技術監控您的應用程序和環境,以發現潛在問題
- An understanding of the Core AWS services, uses, and basic architecture best practices.
- Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
- Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.
- 評估/準備在AWS上初始部署其IT基礎架構。
- 評估/準備將現有IT基礎架構遷移到AWS公共雲。
- 培訓將是互動的,包括動手實驗室活動和實時實施。
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application
- Automate the Deployment Process
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
- 設置基於EKS的Kubernetes集群。
- 在Amazon EKS上創建並運行容器化應用程序。
- 自動擴展容器化應用程序
- 自動化部署過程
- 將基於EKS的應用程序與新的或現有的持續集成工作流程集成。
- 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。
- 要申請本課程的定制培訓,請聯繫我們安排。
- 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.
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
- Design complex cloud solutions on AWS.
- Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
- Integrate the most appropriate AWS services with an application.
- Migrate a complex software application to AWS.
- Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.
- Setup the appropriate AWS account to access CloudFront.
- Cache media content such as video and audio near consumers to reduce latency and increase download speed.
- Cache frequently accessed static content such as website images and downloadable software.
- Cache dynamic, streaming, and interactive content to improve the customer experience.
- Evaluate and prepare the on-premise environment for AWS Outposts setup and installation.
- Configure an Outpost based on the suitable memory and storage options for the enterprise.
- Adjust to AWS cloud architecture and familiarize with the interface of AWS Outposts.
- Utilize the primary tools and features of an Outpost for big data processing and development implementations.
- Execute more flexible and seamless management methods within the organization.
- Identify and understand the role of each of the services offered by AWS.
- Understand the terminology and concepts related to AWS.
- Navigate the AWS Management Console.
- Set up and manage team user accounts securely.
- Match AWS's services to an organization's problem and requirements.
- Make informed decisions about which AWS services to implement.
- Plan out a broad cloud solution strategy for an organization.
- Use notebook instances to prepare and upload data for training.
- Train machine learning models using training datasets.
- Deploy trained models to an endpoint to create predictions.
- 配置AWS Lambda以執行功能。
- 了解FaaS(作為服務的功能)和無服務器開發的優勢。
- 構建,上載和執行AWS Lambda函數。
- 將Lambda函數與不同的事件源集成。
- 打包,部署,監控和診斷基於Lambda的應用程序。
- 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。
- 要申請本課程的定制培訓,請聯繫我們安排。
- 要了解有關AWS Lambda更多信息,請訪問:https://docs.aws.amazon.com/lamda
- 使用AWS Cloud9 IDE協作開發應用程序和服務。
- 將AWS Lambda函數與其他AWS服務集成。
- 創建和管理API。
- 設置AWS Lambda函數以讀取和處理實時流數據。
- 創建和管理用於構建,測試和部署AWS Lambda應用程序的持續集成管道。
- 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。
- 要申請本課程的定制培訓,請聯繫我們安排。
- 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。
- 演習將根據任意數量的受支持的語言和SDK的AWS IoT (C, Java , Java腳本, Python , Arduino雲, iOS , Android等)。要請求特定語言或SDK,請與我們聯繫以安排。
- 要了解有關AWS IoT Core的更多信息,請訪問:https://aws.amazon.com/iot-core/
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
- 啟用AWS服務以開始管理基礎架構。
- 了解並應用“基礎架構即代碼”原則。
- 提高質量並降低部署基礎架構的成本。
- 使用YAML編寫CloudFormation模板。
- 互動式講座和討論。
- 很多練習和練習。
- 在現場實驗室環境中動手實施。
- 要請求此課程的定制培訓,請與我們聯繫以安排。
- Implement CloudFormation templates to automate infrastructure management.
- Integrate existing AWS resources into CloudFormation.
- Use StackSets to manage stacks across multiple accounts and regions.
- 設置必要的開發環境以開始將數據集成到DynamoDB中。
- 將DynamoDB集成到Web應用程序和移動應用程序中。
- 使用AWS服務在AWS中移動數據。
- 使用AWS DAX實施操作。
- 互動式講座和討論。
- 很多練習和練習。
- 在現場實驗室環境中動手實施。
- 要請求此課程的定制培訓,請與我們聯繫以安排。
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Alerts and events
- Sensor calibration
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