AWS Developer Series

Amazon and Amazon Web Services via edX XSeries

Overview

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.

Syllabus

Courses under this program:
Course 1: AWS Developer: Building on AWS
AWS experts show how to leverage your developer skills to build and run applications in the AWS Cloud.

Course 2: AWS Developer: Deploying on AWS
AWS experts show how to leverage your developer skills to deploy applications in the AWS Cloud.

Course 3: AWS Developer: Optimizing on AWS
AWS experts show how to leverage your developer skills to optimize applications in the AWS Cloud.

Courses

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6 weeks, 3-4 hours a week, 3-4 hours a week
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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.
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6 weeks, 3-4 hours a week, 3-4 hours a week
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In this course, part of the AWS Developer Series, you will learn how to use DevOps methodologies and tools. You will build and test your application using AWS Cloud9, and deploy to your cloud-based infrastructure with AWS Elastic Beanstalk. You will create a continuous integration/continous delivery (CI/CD) pipeline using AWS CodeBuild, AWS CodeCommit, and AWS CodePipeline.

You will monitor your application and deployment using Amazon Cloudwatch, and create dashboards using Amazon Elasticsearch and Kibana to gather and catalog performance metrics.

This course has a significant hands-on component. Throughout the class, you will perform exercises using the AWS services covered.

Class discussions provide an opportunity for you to interact with fellow students as well as AWS training staff.
0 reviews
6 weeks, 3-4 hours a week, 3-4 hours a week
View details

This course, part of the AWS Developer Series, will focus on helping you optimize your applications and you work in AWS. We strongly recommend that you complete the first course in the series, "Building on AWS" before starting this course.

You will look at ways to improve utilization by using containers with the Amazon Elastic Container Service (Amazon ECS), caching services such as Amazon CloudFront and Amazon ElastiCache, and monitoring tools such as Amazon CloudWatch. You will look at serverless architectures using Amazon DynamoDB, Amazon API Gateway and, AWS Lambda. You will explore the AWS Command Line Interface (CLI), AWS Identity and Access Management (IAM) and learn how to use the AWS Key Management Service (KMS). You will finish off the class with a deep dive into AWS CloudFormation and a capstone exercise where you will debug a CloudFormation template.

This course has a significant hands-on component. Throughout the class, you will perform exercises using the AWS services covered.

Class discussions will provide an opportunity for you to interact with fellow students as well as AWS training staff.

Taught by

Heiwad Osman, Rafael Lopes, Sean Rinn, Scott Jones, Russell Sayers, Ian Falconer and Seph Robinson

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AWS Developer Series

Overview

Syllabus

Courses

AWS Developer: Building on AWS

AWS Developer: Deploying on AWS

AWS Developer: Optimizing on AWS

Taught by

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Reviews

Udemy, Coursera, 2U/edX Face Lawsuits Over Meta Pixel Use

AWS Developer: Building on AWS

AWS Developer: Deploying on AWS

AWS Developer: Optimizing on AWS

Taught by

Tags

AWS Learning Series: Developer Jumpstart

Building serverless applications on AWS

DevOps on AWS

Developing Applications in Python on AWS

Integrating AWS with the SDK

Serverless Architectures on AWS

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