Python for Serverless Applications and Automation on AWS

Python for Serverless Applications and Automation on AWS

This course is part of AWS Cloud Support Associate Professional Certificate

Instructor: Russell Sayers

Access provided by Gilgit-Baltistan Rural Support Programme

3,968 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

23 reviews

Beginner level

No prior experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

23 reviews

Beginner level

No prior experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

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Build your Cloud Computing expertise

This course is part of the AWS Cloud Support Associate Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Amazon Web Services

There are 4 modules in this course

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. 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 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.

What's included

12 videos10 readings2 assignments2 plugins

12 videos Total 65 minutes

Welcome to the course 4 minutes
Developing in a team 5 minutes
Module 1 Introduction 5 minutes
Python Hello World 5 minutes
Python Variables and Types 4 minutes
Python Conditionals 9 minutes
Python Functions 9 minutes
Python Lists and Dictionaries 7 minutes
Python Loops 5 minutes
Putting it all together 6 minutes
Python Packages 5 minutes
Module 1 Wrap Up 3 minutes

10 readings Total 59 minutes

Course roadmap 5 minutes
Copy of Welcome to the course 2 minutes
Pre-Course Survey 1 minute
Getting started with Python 10 minutes
Variables and Conditionals 5 minutes
Functions, lists, and dictionaries 10 minutes
Putting it all together 10 minutes
Python Hands On 10 minutes
Glossary 5 minutes
Mid-Course Survey 1 minute

2 assignments Total 40 minutes

Python Quiz 30 minutes
Software Industry Roles 10 minutes

2 plugins Total 30 minutes

Pre-Course Survey 15 minutes
Mid-Course Survey 15 minutes

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).

What's included

7 videos2 readings1 assignment1 app item

7 videos Total 43 minutes

Module 2 Introduction 2 minutes
Microservice applications vs service oriented vs monolith 8 minutes
AWS Lambda foundational concepts 8 minutes
Building AWS Lambda functions 10 minutes
Host APIs with Amazon API Gateway 8 minutes
Working with AWS services using the AWS SDK 5 minutes
Module 2 wrap up 2 minutes

2 readings Total 15 minutes

AWS Lambda and Amazon API Gateway 10 minutes
Downloadable: Architecture Diagram 5 minutes

1 assignment Total 1 minute

Ready for the lab? 1 minute

1 app item Total 60 minutes

Lab 1: Building a Serverless API 60 minutes

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.

What's included

6 videos1 reading1 assignment1 app item

6 videos Total 27 minutes

Module 3 Introduction 1 minute
Introduction to Amazon Relational Database 9 minutes
Integrating Amazon RDS 7 minutes
Introduction to Amazon DynamoDB 5 minutes
Integrating Amazon DynamoDB 3 minutes
Module 3 Wrap up 1 minute

1 reading Total 5 minutes

Amazon RDS and Amazon DynamoDB 5 minutes

1 assignment Total 1 minute

Ready for the lab? 1 minute

1 app item Total 60 minutes

Lab 2: Integrating Amazon DynamoDB 60 minutes

This module introduces you to the idea of using python for automating tasks related to IT support and operations. It’s common to automate repeatable tasks with python scripts, and you’ll explore specific scenarios for automation with python as well as hosting automation scripts using AWS services like AWS Systems Manager. You will see an example of creating an AWS Lambda function hosting a python script that will be used in an AWS Systems Manager Automation runbook. This module will give you a better idea of how to use python to automate tasks and processes.