Security on AWS
This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
Serverless Web Apps using Amazon DynamoDB
Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.
Alexa Skills Development
In this Quest, you will learn how to create Alexa skills that respond to voice commands and which can be used on the Amazon Echo, Dot, and Tap devices. You will create back-end functions in AWS Lambda, and then connect them with voice response logic using the Alexa Skills Kit. You will use both the AWS Console and the Amazon Developer Portal in these labs, the latter requiring you to have or create a no-cost, no-credit-card-required account. No hardware device is required for any lab; an Alexa voice response simulation system is provided in the Amazon Developer Portal. Templates used in these labs can be adapted and extended to create your own Alexa skills and offer them to the worldwide Alexa user community.
Serverless Design with AWS Lambda
In this Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.
Advanced Operations Using Amazon Redshift
In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.
计算与网络
本任务中， 你将学习使用计算，网络相关的服务，包括Amazon EC2， Amazon Elastic Load Balancing, 和 Amazon Virtual Private Cloud (VPC).
部署与管理
本任务，你将学习部署和管理相关的AWS服务，包括AWS Identity and Access Management (IAM)，AWS Elastic Beanstalk, AWS CloudFormation, 和 AWS OpsWorks.
存储与CDN
本任务中，你将学习使用存储和内容分发相关的服务，包括Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), 和 Amazon CloudFront.
AWS云端的Big Data
科学家，开发者和其他来自各行各业地技术人员可以利用AWS来进行大数据分析，以满足不断增加地数据量，数据种类和快速访问数字信息的需求带来的挑战。AWS提供云计算服务的服务组合，可以帮助你降低成本，弹性扩展来满足业务需求，并且加快创新的步伐。在本任务中，你将学习使用大数据的基本服务。