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Work with RDS and DynamoDB: AWS with Python and Boto3 Series

——   Created by Niyazi Erdoğan

Learn how to implement RDS and DynamoDB on AWS using Python API - Boto3! Implement your infrastructure with code!

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Course
47
Lessons
3h 15m
Lesson time
intermediate
Skill level

More about this course

Do you want to learn how to launch managed Relational Databases or RDS on AWS? Do you want to learn how to take snaphots, restore your DB instances and implement all of those with your Python code without even logging into AWS Console? Or Do you want to learn how to implement NoSQL DynamoDB Tables on AWS?

Then this is the course you need on RDS and DynamoDB on AWS!

In this course, we’ll start by taking a look at the tools and the environment that we need to work with AWS resources. We’ll be using Python 3 and as per the IDE I recommend you to use PyCharm from Jetbrains. It has a free community edition even!

After I teach you how you can set up your environment on both MacOS and Windows, we’ll create our credentials for AWS as being the AWS Access Key and AWS Secret Access Key for programmatic access to AWS resources. You’ll learn how you can set your AWS credentials globally on your computers using AWS CLI. Before jumping into the implementation, for one last tip, I’ll show you how you can have auto-complete capabilities on your PyCharm IDE with PyBoto3!

Once we’re ready with our environment setup, we’ll start implementing our solution on AWS! And remember we’ll do everything with Python code; not a single thing manually or by hand!

We’ll start off with RDS or Relational Database Service from AWS. I’ll teach you how to launch your own Amazon RDS Instances purely with your Python code! Then we’ll learn how to Take a Snapshot or namely backup our complete database instance. After that, I’ll teach you how to restore that snapshot you have created earlier so you can recover your database from failures!

Next up is DynamoDB! With this very-popular NoSQL service from AWS, I’ll teach you how to create your own DynamoDB Tables on AWS with Python! You’ll learn how to provide a key schema, attribute definitions and apply throughput to your tables.

Lots of information, hands-on practice and experience is waiting for you in this course on AWS. So, don't miss any more time and join me in this course to sharpen your skills on AWS using Python and Boto3!

Who this course is for:
  • Beginners on AWS who wants to put their theory in practice
  • AWS Cloud Architect Associate Exam Preppers who wants to practice their theories with real projects
  • Who wants to learn how to implement Infrastructure-as-a-Code or IaaS on AWS
  • Who wants to learn how to develop infrastructures on AWS using Python
  • Who wants to learn AWS Python API or namely Boto3

47 Lessons

Introduction
1 min
Welcome!
free preview
3 mins
About This Course
free preview
3 mins
What We Will Build in This Course
free preview
3 mins
What Do You Need For This Course
free preview
Preparing The Environment for Development
4 mins
Section Overview
free preview
5 mins
About Tools and Environment
10 mins
Create an AWS Account If You Don't Already Have It!
10 mins
Logging in to AWS Console and A Walkthrough
12 mins
Let's Create Our AWS Credentials!
Windows Environment Setup
3 mins
Installing Python 3 and Pip
5 mins
Installing AWS SDK (CLI)
3 mins
Preparing CLI with AWS Credentials
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About the instructor

It you!

Hi, I'm Niyazi Erdoğan. I'm a software engineer and AWS Certified Solutions Architect with over ten years of experience in various fields. I'm living in one of the …

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Class benefits

  • Certificate of Completion
  • 30 day satisfaction guarantee
  • 24/7 streaming access
  • Direct teacher access
  • 3h 15m of on-demand video
  • 3 downloadable files
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