In this course, part of the AWS Developer Series, you will develop and deploy applications on the AWS platform. Throughout the course, working in Python on Linux, you will develop a web application building upon your developer skills and using AWS services and tools.
Your AWS instructors will guide you through getting started with AWS, creating an account, and installing SDKs. Throughout the course, we will use hands-on exercises to build out a web application.
You will use both the Amazon EC2 and AWS Lambda compute services, as well as learn about object stores by saving and accessing images and video in Amazon S3. You will use Amazon Rekognition to analyze images and video. Collected data will be managed using the Amazon Relational Database Service (RDS). You will refactor your application along the way, increase availability using load balancing, and improve performance and durability using messaging and queuing with the AWS SNS messaging service and Amazon SQS queuing service.
Throughout the class, your instructors will introduce you to general AWS concepts such as Regions, Availability Zones, Virtual Private Clouds (VPCs), and Security Groups. You will use the AWS service APIs programmatically via AWS SDKs, the AWS CLI, and the AWS Cloud9 Integrated Development Environment (IDE).
Class discussions will provide an opportunity for you to interact with fellow students as well as AWS training staff. When you have completed this class, you will be ready to continue on into the second course in this series, which will focus on deploying applications in the cloud.
Your AWS instructors will guide you through getting started with AWS, creating an account, and installing SDKs. Throughout the course, we will use hands-on exercises to build out a web application.
You will use both the Amazon EC2 and AWS Lambda compute services, as well as learn about object stores by saving and accessing images and video in Amazon S3. You will use Amazon Rekognition to analyze images and video. Collected data will be managed using the Amazon Relational Database Service (RDS). You will refactor your application along the way, increase availability using load balancing, and improve performance and durability using messaging and queuing with the AWS SNS messaging service and Amazon SQS queuing service.
Throughout the class, your instructors will introduce you to general AWS concepts such as Regions, Availability Zones, Virtual Private Clouds (VPCs), and Security Groups. You will use the AWS service APIs programmatically via AWS SDKs, the AWS CLI, and the AWS Cloud9 Integrated Development Environment (IDE).
Class discussions will provide an opportunity for you to interact with fellow students as well as AWS training staff. When you have completed this class, you will be ready to continue on into the second course in this series, which will focus on deploying applications in the cloud.
