Learning Paths

AWS Application Development

  • Number of Courses17 courses
  • Duration20 hours
  • Skill IQ available Skill IQ

In this path, you will learn how to develop applications using primarily Amazon Web Services. We will cover the various tools of AWS development, how to continuously deliver and automate deployments. Then you'll understand how to use AWS Messaging tools to exchange your information across different software systems. You will then secure your application and learn how to use AWS databases.

Courses in this path

AWS Development Tools

In this section, you will create, manage, and navigate your cloud-based integrated development environment. You'll use AWS Cloud9 to write, run, and debug code. Then, you will use AWS Lightsail as your Lite Cloud Service. This will include connecting a Lightsail instance to your environment, managing snapshots, load balancing, and troubleshooting.

DevOps Tools for Developers on AWS

In this section, you will perform Continuous Delivery with AWS CodeStar. You will then use AWS CodeBuild to perform Continuous Integration, followed by managing source control with AWS CodeCommit. Next, you'll fully automate deployments with AWS CodeDeploy. Finally, you'll quickly and continuously deliver updates with AWS CodePipeline.

Messaging Services for Applications

In this section, you will learn the benefits of AWS messaging services and how they are a beneficial way to exchange your information across different software systems.

Functions and Application Security on AWS

In this section, you will learn how to build multi-step applications with AWS Step Functions. Using visual workflows, you will understand how to build distributed applications. Then, you will dive into application security by implementing user access and authentication with Amazon Cognito.

Data in AWS Applications

In this section, you'll learn how to connect Amazon DynamoDB to your application. This will include working with data type descriptors, querying data, enabling encryption, monitoring, troubleshooting and logging activity. Finally, you'll query data in AWS databses using Amazon Aurora and MariaDB.

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