AWS Developer Series
Learn Path Description
In this integrated, three-part skills series, you will learn how to use your software development and developer operations skills in the AWS Cloud ecosystem. You will learn how to use Amazon Web Services SDKs to build secure and scalable cloud applications, as well as how to use the most common DevOps patterns to develop, deploy, and maintain applications on AWS.
We will begin with an introduction to AWS services and AWS development SDKs. You will start with a simple web application. Throughout the course, you will then learn how to make the application more durable, scalable, and secure. You will gain hands-on experience with foundational AWS services such as Amazon EC2, Amazon S3, and Amazon RDS. In addition, you will create an event-driven architecture using AWS Lambda, Amazon Simple Queue Service (SQS), and Amazon Simple Notification Service (SNS); improve application performance; and make your application highly available. You will also implement image processing with Amazon Rekognition and text-to-voice functionality with Amazon Polly.
This skills series has a significant hands-on component involving the AWS Free Tier in which you will explore AWS services and concepts using AWS SDKs, AWS APIs, and the AWS Console. Though programming exercises will be in Python, they will be applicable to other languages and frameworks.
Skills You Will Gain
Courses In This Learning Path
Total Duration
6 weeks
Level
Advanced
Learn Type
Certifications
AWS Developer: Building on AWS
This course is part of the AWS Developer Series. You will learn how to develop and deploy AWS applications. You will be working in Python on Linux throughout the course to create a web app using your developer skills and AWS tools.
Your AWS instructors can help you get started with AWS, create an account and install SDKs. We will be using hands-on exercises throughout the course to create a web app.
Both the Amazon EC2 as well as AWS Lambda compute service will be used. You can also learn about object stores by saving images and video to Amazon S3. Amazon Rekognition will be used to analyze images and videos. The Amazon Relational Database Service will manage the collected data. Along the way, you will refactor the application, increase availability via load balancing, improve performance and durability with messaging and queuing using the AWS SNS messaging services and Amazon SQS queueing service.
Your instructors will be introducing you to AWS concepts like Regions, Availability Zones and Virtual Private Clouds (VPCs) throughout the class. The AWS SDKs and AWS CLI will be used to programmatically access the AWS service APIs.
You will have the opportunity to meet fellow students and AWS staff through class discussions. After you've completed this course, you can move on to the next course, which will teach you how to deploy applications in the cloud.
Total Duration
6 weeks
Level
Advanced
Learn Type
Certifications
AWS Developer: Deploying on AWS
This course is part of the AWS Developer Series. You will learn about DevOps tools and methodologies in this course. AWS Cloud9 will be used to build and test your application, and then deploy it to your cloud-based infrastructure using AWS Elastic Beanstalk. You will create a continuous integration/continous delivery (CI/CD) pipeline using AWS CodeBuild, AWS CodeCommit, and AWS CodePipeline. Monitor your application and deploy it using Amazon Cloudwatch. Create dashboards with Amazon Elasticsearch or Kibana to collect and catalog performance metrics. The course includes a lot of hands-on work. You will be using AWS services in exercises throughout the course. You will have the opportunity to meet fellow students and AWS staff members during class discussions.
Total Duration
6 weeks
Level
Advanced
Learn Type
Certifications
AWS Developer: Optimizing on AWS
This course is part of the AWS Developer Series and is designed to help you optimize your AWS applications. Before starting this course, it is recommended to complete the first course in the series, "Building on AWS." Throughout the course, you will learn various techniques to increase utilization and efficiency in your applications.
The course covers using containers with Amazon Elastic Container Service, caching services like Amazon CloudFront or Amazon ElastiCache, and monitoring tools like Amazon CloudWatch. Additionally, you will explore serverless architectures using Amazon DynamoDB and Amazon API Gateway, as well as AWS Lambda.
The course also covers important AWS tools and services, such as the AWS Command Line Interface, AWS Identity and Access Management, and the AWS Key Management Service. You will have the opportunity to dive deep into AWS CloudFormation and participate in a capstone activity where you will troubleshoot a CloudFormation template.
Throughout the course, you will have hands-on experience using various AWS services. This practical component will allow you to apply what you've learned in a real-world setting.
Furthermore, this course provides opportunities for networking with fellow students and engaging in discussions with AWS staff members.
In conclusion, this course offers a comprehensive exploration of optimizing AWS applications. It covers a wide range of topics and provides hands-on experience using various AWS services. By completing this course, you will gain valuable skills and knowledge that can enhance your abilities as an AWS developer.
