Coursera

Developing Applications in Python on AWS (Coursera)

Offered by AWS,
Developing Applications in Python on AWS (Coursera)

This course gives you a thorough introduction to the python programming language. You'll start by learning the definition of python, its history, semantics, and how it works.

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

The first week concludes by writing a python script to solve a problem. In Week 2, you'll learn about Serverless Architectures and understand the differences between microservices, service-oriented and monolith architectures. You'll build a microservices architecture by learning how to use the following tools: AWS Lambda, Amazon API Gateway, and Cloud9. It's then time to go deep with AWS Databases. You'll see Amazon RDS and Amazon DynamoDB in action, visualizing the important role they play in developing applications in python. The course's final week will cover application integration services. Amazon's Simple Notification Service (SQS), Simple Queue Service (SQS), and EventBridge take center stage as important “glue” components for scalable, cloud-based applications. You'll close the course with a hands-on project, writing some code to use some hardcoded data to write to dynamodb and then convert that into a lambda function.
This course is part of the AWS Cloud Technology Consultant Professional Certificate.

What you'll learn

  • Introductory level Python programming and Python packages
  • Explain the different roles in an organization building software

Syllabus

Module 1: Welcome to the Course
This module starts with how to develop applications in a team. An application engineer doesn’t work alone, and you learn how an engineer interacts with roles such as architects, product managers, quality assurance (QA), support, and DevOps teams. Next, you learn the basics of Python programming. The goal is to get you to the level where you can read and understand some basic Python code. If you already know a programming language, many of the features of Python will look similar to the programming languages you already know.

Module 2: Architecture Comparison
This module focuses on software architecture. You learn about AWS Lambda as a home for your application code. You also investigate three different types of application architecture: microservices architecture, monolithic architecture, and service-oriented architecture. You walk through a conceptual ecommerce application, and compare how to build an application based on each architecture type. Next, you learn how to expose your application logic as an application programming interface (API). In a lab environment, you deploy a Lambda function and an Amazon API Gateway API by using the AWS Serverless Application Model (AWS SAM).

Module 3: Database
In this module, you learn about using a database for your application data. You explore both relational databases with Amazon Relational Database service (Amazon RDS), and NoSQL databases with Amazon DynamoDB. You learn about the differences between relational databases and NoSQL databases, and when you would choose one type of database instead of the other. You also explore different examples of how to access relational databases and DynamoDB from a Python application.

Module 4: Messaging Services
This module introduces you to another way that you can integrate your applications: by using messaging and event buses. You learn how to integrate applications by creating a topic in Amazon Simple Notification Service (Amazon SNS) and adding multiple subscribing applications. You then explore how an application sends messages to an Amazon Simple Queue Service (Amazon SQS) queue, and how consumer applications retrieve messages from that queue. Next, you investigate event-driven applications, which are another type of application architecture. You learn how an application can be designed as a series of both events, and applications that create and respond to these events. Finally, you learn how an application can receive, filter, transform, route, and deliver events by using Amazon EventBridge.

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

Related Courses

Machine Learning: Regression (Coursera) Coursera
University of Washington

Machine Learning: Regression (Coursera)

Statistics & Data Analysis Data Science

Case Study - Predicting Housing Prices. In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.

Jun 22nd 2026
5-12 Weeks
Python Algorithms Machine Learning
Details
Using Python to Interact with the Operating System (Coursera) Coursera
Google

Using Python to Interact with the Operating System (Coursera)

CS: Information & Technology Computer Science

By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.

Jun 23rd 2026
5-12 Weeks
Programming Python Regular Expressions
Details
Introduction to HTML5 (Coursera) Coursera
University of Michigan

Introduction to HTML5 (Coursera)

CS: Programming

Thanks to a growing number of software programs, it seems as if anyone can make a webpage. But what if you actually want to understand how the page was created? There are great textbooks and online resources for learning web design, but most of those resources require some background knowledge. This course is designed to help the novice who wants to gain confidence and knowledge. We will explore the theory (what actually happens when you click on a link on a webpage?), the practical (what do I need to know to make my own page?), and the overlooked (I have a page, what do I do now?).

Jun 22nd 2026
3 Weeks
Programming HTML HTML5
Details
Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera) Coursera
University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Sci: Biology & Life Sciences Health & Society

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.

Jun 22nd 2026
5-12 Weeks
Genes DNA Genomes
Details
Delivery Problem (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Delivery Problem (Coursera)

CS: Software Engineering CS: Theory

We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science.

Jun 22nd 2026
3 Weeks
Probability Combinatorics Algorithms
Details
Machine Learning with Python (Coursera) Coursera
IBM

Machine Learning with Python (Coursera)

Data Science

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

Jun 22nd 2026
5-12 Weeks
Programming Python Machine Learning
Details
Neural Networks and Deep Learning (Coursera) Coursera
DeepLearning.AI

Neural Networks and Deep Learning (Coursera)

Data Science

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning.

Jun 22nd 2026
4 Weeks
Programming Machine Learning Neural Networks
Details
Advanced Styling with Responsive Design (Coursera) Coursera
University of Michigan

Advanced Styling with Responsive Design (Coursera)

CS: Software Engineering

It used to be the case that everyone viewed webpages on about the same size screen. But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed. People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer). This ability to respond to any platform is called responsive design.

Jun 22nd 2026
4 Weeks
Javascript Bootstrap Web Design
Details
Interactivity with JavaScript (Coursera) Coursera
University of Michigan

Interactivity with JavaScript (Coursera)

CS: Software Engineering CS: Programming

If you want to take your website to the next level, the ability to incorporate interactivity is a must. But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need. With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.

Jun 22nd 2026
4 Weeks
Programming Javascript DOM
Details