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

An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Nov 2nd 2026
5-12 Weeks
Introduction to PySpark (Coursera) Coursera
Edureka

Introduction to PySpark (Coursera)

Welcome to Introduction to PySpark, a short course strategically crafted to empower you with the skills needed to assess the concepts of Big Data Management and efficiently perform data analysis using PySpark. Throughout this short course, you will acquire the expertise to perform data processing with PySpark, enabling you to efficiently handle large-scale datasets, conduct advanced analytics, and derive valuable insights from diverse data sources.

Nov 9th 2026
1 Week
Data Governance with Databricks (Coursera) Coursera
Whizlabs

Data Governance with Databricks (Coursera)

Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture. Data governance is a broad approach that comprises the principles, practices, and tools to manage an organization’s data assets throughout its lifecycle. A data governance strategy allows organizations to make data easily available protecting their data from unauthorized access, and ensuring compliance with regulatory requirements.

Nov 9th 2026
4 Weeks
Automation With Salt (Coursera) Coursera
Whizlabs

Automation With Salt (Coursera)

Salt is an automation configuration management framework designed on the idea of executing commands remotely. This is open source software developed to automate the configuration of server systems. The course begins with the introduction to Automation with Salt followed by Salt Installation. A brief explanation about features of Salt using command-line tools and Matching Elements is provided in the course. The course also demonstrates the working of Jinja2 and Pillars in a detailed manner.

Nov 9th 2026
2 Weeks
Automation for Everyone: Tech Benefits Unleashed (Coursera) Coursera
Coursera Instructor Network

Automation for Everyone: Tech Benefits Unleashed (Coursera)

In today's technology-driven world, automation is a valuable skill for everyone. This course, "Automation for Everyone," allows you to harness the power of automation. From automating home tasks to implementing business solutions that save millions of dollars, we will explore practical applications through concise video lectures and real, linkable readings.

Nov 9th 2026
1 Week
Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Nov 9th 2026
4 Weeks
Selenium WebDriver with Python (Coursera) Coursera
Whizlabs

Selenium WebDriver with Python (Coursera)

“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements and web Interactions is provided in this course. This course covers an overview of testing frameworks with Selenium WebDriver. Some advanced topics such as Handling Popup, Alerts, Multiple Browser Tabs, Mouse and Keyboard interactions are also highlighted in this course.

Nov 9th 2026
3 Weeks
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Nov 9th 2026
4 Weeks
Getting Started with Chef Cookbooks (Coursera) Coursera
Whizlabs

Getting Started with Chef Cookbooks (Coursera)

Chef is a powerful automation platform that transforms infrastructure into code. Chef automates how infrastructure is configured, deployed, and managed across your network without worrying about its size. Cookbooks are fundamental working units of Chef, which consists of all the details related to working units, having the capability to modify configuration and the state of any system configured as a node on Chef infrastructure. Cookbooks help in configuring the infrastructure with the help of other components like recipes, templates, files etc.

Nov 9th 2026
3 Weeks
Infrastructure Automation with Terraform (Coursera) Coursera
Whizlabs

Infrastructure Automation with Terraform (Coursera)

Terraform is one of the most recognized infrastructure automation tools that help in addressing various real-life challenges. Infrastructure automation is a reliable instrument for improving productivity, efficiency, and reduction of operational downtime for enterprises. As a result, you can gain better career opportunities with skills in infrastructure automation with Terraform.

Nov 9th 2026
5-12 Weeks