Modern Application Development with Python on AWS

Specialized Program: Modern Application Development with Python on AWS

Become a modern web developer. Accelerate your career by learning to build cloud-native applications on AWS

Specialized Program: Modern Application Development with Python on AWS

About this Specialized Program

This specialization is designed to help you master the skills of designing and building cloud-native applications on AWS. We begin with the foundational technical and cloud knowledge that you need to have to build in the AWS Cloud. In the first course, you will be introduced to several AWS compute services, different storage and database offerings that AWS provides, AWS’ networking capabilities, monitoring capabilities and the AWS IAM service. 

The second course of the specialization explores how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless computing and Amazon Cognito for serverless authentication. 

Modern applications require a modern database. Hence, the third course introduces you to NoSQL databases and the challenges they solve. We will dive deep into Amazon DynamoDB topics such as recovery, SDKs, partition keys, security and encryption, global tables, stateless applications, streams, and best practices. DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale.

Finally, you’ll learn how to use Amazon CodeGuru Reviewer to detect issues and identify recommendations to improve the quality and security of your code.

Note: There are 4 versions of this specialization. We recommend you choose the Specialization based on your programming language or platform of choice: Java, .NET, Node.js & Python.


Applied Learning Project

Labs in this specialization follow a storyline where you are tasked with building out a website hosted on AWS using all serverless services. Each lab will walk you through building out the website and backend API step by step. The labs focus on the use of the AWS SDK and AWS CLI. You will start by creating the front-end website, then the backend API, add authentication to that API, create the backend compute functions, create an asynchronous reporting workflow, and then implement distributed tracing, use monitoring features, and improving performance for the distributed application. 

You will also learn how to develop with Amazon DynamoDB by using the AWS Software Development Kit (AWS SDK) via multiple exercises.


SKILLS YOU WILL GET

• Amazon Dynamodb

• Cloud Computing Architecture

• Serverless Computing

• Application development

• Compute

• Cloud Computing Security

• AWS cloud

• Networking

• Storage

• NoSQL Database

• Cryptography

• Workload


Certificate to share

Get a certificate upon completion

100% online courses

Get started right away and learn at your own pace.

Cronograma flexible

Set and maintain flexible delivery dates.

Beginner level

No prior knowledge of AWS cloud is required. However, it will be helpful to have foundational to intermediate knowledge of Python.

Approximately 5 months to complete

Suggested pace of 3 hours/week

English Subtitles: English , Arabic , French , Portuguese , Italian, Vietnamese,


How the specialized program works

Take courses

A Coursera specialty program is a set of courses that help you master a skill. To get started, enroll in the specialty program directly or take a look at their courses and choose one you'd like to start with. When you enroll in a course that is part of a specialty program, you will automatically be enrolled in the full specialty program. You can complete only one course: you can pause your learning or cancel your subscription at any time. Visit the student dashboard to track your course enrollments and progress.

Practical project

Each specialized program includes a hands-on project. You will need to successfully complete the project to complete the specialized program and earn your certificate. If the specialized program includes a separate course for the practical project, you will need to complete each of the other courses before you can begin it.

Get a certificate

When you complete all the courses and the practical project, you will earn a Certificate that you can share with potential employers and your professional network.


There are 4 courses in this Specialized Program


COURSE  1 - AWS Cloud Technical Essentials

Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required!

Throughout the course, students will build highly available, scalable, and cost effective application step-by-step. Upon course completion, you will be able to make an informed decision about when and how to apply core AWS services for compute, storage, and database to different use cases. You’ll also learn about cloud security with a review of AWS' shared responsibility model and an introduction to AWS Identity and Access Management (IAM). And, you’ll know how AWS services can be used to monitor and optimize infrastructure in the cloud.

AWS Cloud Technical Essentials is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future. Enroll in AWS Cloud Technical Essentials and start learning the technical fundamentals of AWS today!

Note: This course was designed for learners with a technical background. If you are new to the cloud or come from a business background, we recommend completing AWS Cloud Practitioner Essentials (https://www.coursera.org/learn/aws-cloud-practitioner-essentials) before enrolling in this course.


COURSE 2 - Building Modern Python Applications on AWS

In modern cloud native application development, it’s oftentimes the goal to build out serverless architectures that are scalable, are highly available, and are fully managed. This means 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. 

Building brand new applications on AWS is a different task than lifting and shifting existing applications into AWS. When you have an existing application that you need to move to AWS, you might first look to using Amazon EC2 as your virtual machines, or maybe you might look into using docker containers and container hosting services like Amazon Elastic Container Service or Amazon Elastic Kubernetes Service. Those are all great application hosting options, but in most cases, they still require you to have some kind of pulse on the underlying infrastructure hosting your application. `

Building Modern Python Applications on AWS will explore how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless computing, and Amazon Cognito for serverless authentication. We will follow an API driven development process and first mock up what the API will look like. We will cover all the ins and outs of the service Amazon API Gateway, and as you’ll learn- it does a lot more than just hosting an API. 

Then we will add authentication to the API using Amazon Cognito. You’ll learn about how the authorization flow works with Cognito, and how to build it into your APIs. From there, we will add a Lambda backend that will be triggered by API Gateway. The lambda functions will be using the AWS SDKs to perform various data processing tasks. You’ll learn about the different configurations that exist for Lambda, and we will show you how to create and manage lambda functions. Some of the features of our API will require multiple lambda functions to execute in a specific order, like a workflow, and we will use AWS Step Functions to create a serverless workflow. Finally, we will talk about how to optimize your APIs at every layer using AWS features.

Note: There are four versions of this class, "Building Modern Node.js Applications on AWS" for Node.js developers, Building Modern Java Applications on AWS" for Java developers, "Building Modern .NET Applications on AWS" for .NET developers, and this course, "Building Modern Python Applications on AWS" for Python developers. The courses do for a large part, overlap and in general, we recommend that you take the course that focuses on the SDK you plan to use to develop your AWS Cloud based applications.

We expect that you have basic knowledge of AWS already. Some examples of concepts you should be familiar with are: you should know the basics of the AWS Global infrastructure, like what regions and availability zones are. You also should know the at a high-level AWS Identity and Access Management, or IAM, and how it is used to control access to AWS resources. You should also understand what an Amazon EC2 instance is, what Amazon S3 is, what a VPC is, as well as other basic AWS terminology.


COURSE 3 - Amazon DynamoDB: Building NoSQL Database-Driven Applications

This course introduces you to NoSQL databases and the challenges they solve. Expert instructors will dive deep into Amazon DynamoDB topics such as recovery, SDKs, partition keys, security and encryption, global tables, stateless applications, streams, and best practices.

DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multiregion, multimaster database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and support peaks of more than 20 million requests per second.

This course uses a combination of video-based lectures delivered by Amazon Web Services expert technical trainers, demonstrations, and hands-on lab exercises, that you run in your own AWS account  to enable you to build, deploy and manage your own DynamoDB-powered application.


COURSE 4 - Improve Your Python Code Using Amazon CodeGuru

Learn how to use Amazon CodeGuru Reviewer to automatically identify issues and vulnerabilities to improve your code quality with our new digital course, Improve your Python Code using Amazon CodeGuru. This course is designed for Python developers who are interested in learning how to use CodeGuru Reviewer to save time and improve their code review process.

In this course, you’ll learn how to use CodeGuru Reviewer to detect issues and identify recommendations to improve the quality and security of your code. The course demonstrates how CodeGuru Reviewer finds code anomalies and explains how to understand and apply its automated suggestions.

Developed at the source, this new digital course empowers you to learn about Amazon CodeGuru from the experts at AWS whenever, wherever you want. Advance your skills and knowledge to build your future in the AWS Cloud. Enroll today!

Note: There are two versions of this course: "Improve Your Java Code Using Amazon CodeGuru" for Java developers and "Improve Your Python Code Using Amazon CodeGuru" for Python developers. The courses do for a large part, overlap and in general, we recommend that you take the course that focuses on the SDK you plan to use to develop your AWS Cloud based applications.


Offered by Amazon Web Services

Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.

Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.

Start learning today

Financial aid available

• Course certificates and specialized program to share

• Self-managed learning option

• Course readings and videos

• practice quizzes

• Assignments graded with peer feedback

• Graded quizzes with comments

• Graded programming assignments




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