AWS培訓

AWS培訓

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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Amazon Web Services子類別

AWS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
On demand AWS Architect Certification training course is designed to help professionals to become cloud-enabled using Amazon Web Services. This course is taught with real life examples, helps participants understand the practical application of concepts such as fundamentals of cloud computing, Amazon Web services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds and Cloud programming. After this course participants will be able to have their own implementations on cloud using EC2 instances, S3 buckets etc.
21小時
概觀
聽眾:

雲工程師,解決方案架構師,卓越中心團隊,窗口服務器管理員,Unix / Linux管理員,存儲管理員,網絡管理員,虛擬化管理員

課程目標:

本課程旨在教您如何:

- 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
28小時
概觀
這個為期4天的課程將提供:

- 了解核心AWS服務,用途和基本體系結構最佳實踐。
- 熟練使用AWS設計,開發和部署基於雲的解決方案。
- 具有開發和維護為Amazon Simple Storage Service,Amazon DynamoDB,Amazon Simple Queue Service,Amazon Simple Notification Service,Amazon Simple Workflow Service,AWS Elastic Beanstalk和AWS CloudFormation編寫的應用程序的經驗。

聽眾:

雲工程師,卓越團隊中心,Window服務器管理員,Unix / Linux管理員,存儲管理員,網絡管理員,虛擬化管理員。

完成此培訓計劃後,參與者應能夠從開發人員的角度部署和使用AWS服務。
7小時
概觀
該講師指導的現場培訓提供了AWS產品,服務和解決方案的概述。它針對的是以下個人和團隊:

- 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。

在本次培訓結束時,參與者將清楚地了解構成亞馬遜雲產品的主要組件。實踐練習,討論和課堂部署將為參與者提供他們感到舒適並準備好自己進行AWS實時部署所需的實踐和反饋。

課程格式

- 培訓將是互動的,包括動手實驗室活動和實時實施。
21小時
概觀
Amazon Redshift是AWS中的petabytescale基于雲數據倉庫服務。 在這個有指導的現場培訓中,參與者將學習Amazon Redshift的基礎知識。 在培訓結束後,參與者將能夠: 安裝並配置Amazon Redshift 使用Amazon Redshift加載,配置,部署,查詢和可視化數據 聽衆 開發商 IT專業人員 課程的格式 部分講座,部分討論,練習和沈重的練習 注意 要請求本課程的定制培訓,請聯系我們安排。
14小時
概觀
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.
21小時
概觀
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploying and scaling containerized applications.

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

- 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.
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.

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

- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
28小時
概觀
This instructor-led, live training in 台灣 (online or onsite) 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.
21小時
概觀
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.

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

- 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.
28小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

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

- 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.
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers who wish to accelerate the performance of their website or web application by way of an Amazon CloudFront CDN (content delivery network).

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

- 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.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers, developers, and administrative IT personnel who wish to optimize their organization's data center and workflows using the fully supported system of AWS Outposts.

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

- 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.
7小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization.

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

- 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.
7小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures.

By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments.

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

- 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.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.
14小時
概觀
This instructor-led, live training in 台灣 (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

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

- Configure AWS Lambda to execute a function.
- Understand FaaS (Functions as a Service) and the advantages of serverless development.
- Build, upload and execute AWS Lambda functions.
- Integrate Lambda functions with different event sources.
- Package, deploy, monitor and troubleshoot Lambda based applications.
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to integrate AWS Lambda applications and services with other services (API Gateway, Kinesis Streams, etc.). The training demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.

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

- Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
14小時
概觀
This instructor-led, live training in 台灣 (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
8小時
概觀
Summary:

- 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.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
7小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.

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

- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write AWS CloudFormation Templates using YAML.
7小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.

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

- Implement CloudFormation templates to automate infrastructure management.
- Integrate existing AWS resources into CloudFormation.
- Use StackSets to manage stacks across multiple accounts and regions.
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.

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

- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
4小時
概觀
Summery:

- 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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