EdX

Amazon Web Services: Integrating AWS with the SDK (edX)

Offered by AWS,
Amazon Web Services: Integrating AWS with the SDK (edX)

Working as a software engineer means building applications that are secure, scalable and span the globe. Building your applications using AWS web services not only makes this possible, but enables you to build efficiently and cost effectively. Let’s cut down the time from idea to production code by seeing what is possible when you build with AWS.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

In this course, we start with the basics of AWS Identity and Access Management to understand the different forms of authentication and security when integrating AWS services. We refactor an existing application using the AWS SDK to replace storage functionality with Amazon Simple Storage Service and Amazon DynamoDB. Next, we investigate using compute services Amazon EC2 and AWS Lambda to run our application code. In the final upgrade, we expose the application functionality as an API with Amazon API Gateway. Our experienced instructors take you on a deep dive on the workings and benefits of each service.
This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises, taking you from concept to an API-based application hosted in AWS.
This course is part of the Building serverless applications on AWS XSeries program.

What you'll learn
--Describe how to integrate an application with AWS APIs using the SDK
--Describe how to authenticate and authorize requests to AWS APIs
--Use Amazon API Gateway to host, authenticate and authorize your own APIs.
--Build a function using AWS Lambda for compute.
--Store application data in Amazon DynamoDB, Amazon S3.
--Describe the types of data best suited to storage services Amazon DynamoDB, Amazon S3.

Syllabus

Week 1: Getting Started
Video: Course Introduction
Reading: Welcome to the Course
Video: Providing Feedback
Reading: Customer Feedback
Getting Started
Video: Week 1 Introduction
Video: What is AWS?
Video: Discussion: AWS for Software Engineers
Video: Starting Simple with Amazon S3
Video: Introduction to AWS SDK for Python Boto
Reading: Getting Started
Security:
Video: Authentication and Authorization with IAM
Video: IAM Roles and working with access keys
Video: Setting up a Developer Environment
Video: AWS Cloud9 and credentials
Reading: Security
Video: Week 1 Wrap Up
Assessment: Week 1 Quiz

Week 2:
Application Storage
Video: Week 2 Introduction
Video: S3 for Object Storage
Video: S3: Access Control and Security
Video: Amazon S3 replication, encryption, and versioning
Video: Demo – S3 for Application Storage
Lab: S3 for Application Storage
Reading: Object Storage
Structured Storage
Video: DynamoDB for NoSQL Table Storage
Video: DynamoDB Creating and Querying Items
Reading: Structured Storage Reading
Video: Week 2 Wrap-Up
Assessment: Week 2 Quiz

Week 3:
Compute and API Hosting
Video: Week 3 Introduction
Video: AWS Lambda for Compute
Video: Demo: Moving to Lambda
Video: Amazon EC2 for Compute
Reading: Computing Services
API Hosting:
Video: Amazon API Gateway for API Hosting
Video: Demo: Moving to API Gateway for API Hosting
Video: Demo: Moving to API Gateway
Lab: Moving to API Gateway
Video: Troubleshooting an API Application
Reading: API Hosting
Video: Week 3 Wrap Up
Assessment: Week 3 Quiz
Course Closing:
Video: Course Close
Assessment: Final Assessment

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Migrating to the AWS Cloud (edX) EdX
AWS

Migrating to the AWS Cloud (edX)

Learn how to migrate your on-premises applications and workloads to the AWS Cloud. This four week course focuses on migrating workloads to AWS. We will focus on analyzing your current environment, planning your migration, and discussing the actual migration steps. We will also survey AWS tools and services that will accelerate your migration to AWS.

Self Paced
Self-Paced
ML Pipelines on Google Cloud (Coursera) Coursera
Google Cloud

ML Pipelines on Google Cloud (Coursera)

In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX. You will also learn how you can automate your pipeline through continuous integration and continuous deployment, and how to manage ML metadata.

Aug 17th 2026
4 Weeks
Getting Started with Migration Hub Refactor Spaces (Coursera) Coursera
AWS

Getting Started with Migration Hub Refactor Spaces (Coursera)

With AWS Migration Hub Refactor Spaces, you can fast-track the application refactoring of existing applications into distributed applications, typically based on microservices. In this course, you will learn the benefits and technical concepts of Refactor Spaces. If you are new to the service, you will learn how to start with Refactor Spaces through a demonstration using the AWS Management Console.

Aug 10th 2026
1 Week
Introduction to AWS Identity and Access Management (edX) EdX
AWS

Introduction to AWS Identity and Access Management (edX)

This course will focus on one of the key security services, AWS Identity and Access Management (IAM). It is meant to provide learners with an introduction to and some deeper level content on AWS IAM. Security should be your first priority when developing cloud native applications. The goal of this course is to provide you with foundational knowledge and skills that will enable you to grow in your use of both AWS IAM and the rest of the AWS ecosystem.

Self Paced
Self-Paced
Hosting Simple Web Applications using Amazon Lightsail (edX) EdX
AWS

Hosting Simple Web Applications using Amazon Lightsail (edX)

Learn the basics of getting started in the cloud and then understand how to scale your app. In this course, we will deploy and test a simple web app with Amazon Lightsail. As a freelance developer, you are regularly building various software solutions for your customers. Recently, you received a request to create a pet adoption app on AWS. Because of a tight deadline and limited budget, you need to find a hosting platform that would satisfy all customer requirements without having a lot of setup and operations overhead.

Self Paced
Self-Paced
Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: Machine Learning Operations 1 (MLOps1): Deploying AI & ML Models in Production using Amazon Web Services (AWS).

Self Paced
Self-Paced
Building Modern Java Applications on AWS (edX) EdX
AWS

Building Modern Java Applications on AWS (edX)

In this course, we will be covering how to build a modern, greenfield serverless backend on AWS. In modern cloud native application development, it’s often times the goal to build out serverlessarchitectures that are scalable, are highly available, and are fully managed. This mean, less operational overhead for you and your business, and more focusing on the applications and business specific projects that differentiate you in your marketplace. In this course, we will be covering how to build a modern, greenfield serverless backend on AWS.

Self PAced
Self-Paced