Become an Amazon Web Services expert with hands-on-training.
We give you temporary credentials to Amazon Web Services, so you can learn the cloud using the real thing – no simulations. From 30-minute individual labs to multi-day courses, from introductory level to expert, instructor-led or self-paced, with topics like machine learning, security, infrastructure, app dev, and more, we've got you covered.
Introduction to Amazon EC2 Auto Scaling
This lab provides the basic hands-on experience of Amazon EC2 Auto Scaling -- setting up Auto Scaling to automatically launch compute instances in response to conditions that you specify. You will use Auto Scaling via the AWS console to create the basic infrastructure of a Launch Configuration and an Auto Scaling group. You will test the configuration by terminating a running instance and viewing the results as Auto Scaling responds by scaling up and starting another instance.
For the lab to function as written, please DO NOT change the auto assigned region.
[:zh] 使用Amazon EMR分析Ngrams
[:zh] 本实验演示如何运行Amazon Elastic MapReduce（EMR）集群进行大数据分析，并使用Hive以类似SQL查询的方式来分析数据。你将使用Amazon EMR创建一个小的Hadoop集群，对存储在S3上的数据运行交互式的Hive查询。你将使用Hive来把数据规范化处理，创建有意义的数据表并保存在S3上，便于在集群上运行其他作业。
Amazon Simple Storage Service (S3) 简介
本指南旨在向您介绍如何使用 AWS 管理控制台操作 Amazon Simple Storage Service。
使用CloudFormation创建Amazon Virtual Private Cloud(VPC)
本实验展示如何实验CloudFormation来创建亚马逊Virtual Private Cloud（VPC）。注意：本实验更像是一个分步骤展示，而非学习如何创建它。你将查看AWS CloudFormation模版，并了解到模版内每一部分的解释。你将运行该模版来创建一个包含4个子网，跨越2个可用区，包含一个NAT服务器的VPC（NAT服务器允许在私有子网的服务器访问互联网来下载软件包和更新）
Analyze Big Data with Hadoop
In this lab, you will deploy a fully functional Hadoop cluster, ready to analyze log data in just a few minutes. You will start by launching an Amazon EMR cluster and then use a HiveQL script to process sample log data stored in an Amazon S3 bucket. HiveQL is a SQL-like scripting language for data warehousing and analysis. You can then use a similar setup to analyze your own log files.
Hybrid Storage and Data Migration with AWS Storage Gateway File Gateway
SPL-223 - Hybrid Storage and Data Migration with AWS Storage Gateway File Gateway
Serverless Web Apps using Amazon DynamoDB - Part 3
This is part three of a three-part lab which teaches you how to create a "serverless" web app with an Amazon DynamoDB backend data store. In this lab you will configure an API using Amazon API Gateway and set up a public website to retrieve information from your DynamoDB table via Lambda functions, using what you learned in all three labs. To successfully complete this lab, you should be familiar with DynamoDB and API Gateway through taking those introductory labs at qwiklabs.com.
Video on Demand with AWS Elemental MediaConvert
In this lab, you will utilize the AWS Elemental MediaConvert Service to convert input video into multiple output formats, combine multiple videos into one during the conversion process, add captions/watermarks to the videos, and work with ad insertion metadata.
Build a Serverless Text-to-Speech Application with Amazon Polly
This lab builds a complete serverless application that demonstrates how to convert text-to-speech using Amazon Polly.
Become a Cloud Expert
Infrastructure & DevOps
Implement, deploy, migrate and maintain applications in the cloud.
Websites & App Dev
For software engineers who develop applications in the cloud.
Design, build, analyze, and optimize big data solutions.
Write distributed machine learning models that scale.
Security, Backup & Recovery
Stay compliant and protect information, data applications and infrastructure.