- Platform
- edX
- Provider
- Amazon Web Services
- Effort
- 3-4 hours/week
- Length
- 6 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Course Link
Overview
In this course, part of the AWS Developer Professional Series, you will gain confidence developing and deploying 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. In the class, we will utilize the AWS Free Tier to minimize any costs associated with running your 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 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.
What you'll learn
In this course, part of the AWS Developer Professional Series, you will gain confidence developing and deploying 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. In the class, we will utilize the AWS Free Tier to minimize any costs associated with running your 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 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.
What you'll learn
- How to create and manage an AWS account
- AWS fundamental concepts including Regions, Availability Zones, and Virtual Private Clouds (VPCs)
- How to install and use the AWS SDKs
- How to use AWS compute services, both via the AWS Console and programmatically
- How to use AWS managed services such as Amazon RDS
- How to use Amazon AI image and text-to-speech applications
- How to make your applications more durable, distributed, and highly available