Work with RDS and DynamoDB on AWS with Python and Boto3

Work with RDS and DynamoDB_ AWS with Python and Boto3 Series

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

Created by : Rated :4.3 85417 views

Last Updated: 2024-11-20 08:11:50 English Course Type: Self Learning

You'll be able to implement any sort of infrastructure on AWS with Python using RDS and DynamoDB
You'll learn how to code against AWS API using Python and Boto3
You'll learn how to launch Relational Database Instances (RDS) on AWS using Python and Boto3
You'll learn how to launch NoSQL DynamoDB Tables on AWS using Python and Boto3

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

Beginner level of Python
Any Python Interpreter. Default is fine but I recommend PyCharm
An AWS Account - Free Tier Available
General Knowledge on AWS Model would be nice

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

Section 1 : Introduction 5 Lectures 00:08:36
Lecture 1 :
Welcome Preview
Lecture 2 :
About This Course
Lecture 3 :
What We Will Build in This Course
Lecture 4 :
What Do You Need For This Course
Lecture 5 :
Source Code
Section 2 : Preparing The Environment for Development 6 Lectures 00:37:47
Lecture 1 :
Section Overview
Lecture 2 :
About Tools and Environment
Lecture 3 :
Create an AWS Account If You Don't Already Have It!
Lecture 4 :
Logging in to AWS Console and A Walkthrough
Lecture 5 :
Let's Create Our AWS Credentials!
Lecture 6 :
Source Code
Section 3 : Windows Environment Setup 5 Lectures 00:13:49
Lecture 1 :
Installing Python 3 and Pip
Lecture 2 :
Installing AWS SDK (CLI)
Lecture 3 :
Preparing CLI with AWS Credentials
Lecture 4 :
Installing Boto3
Lecture 5 :
Verifying The Setup
Section 4 : MacOS Environment Setup 5 Lectures 00:11:28
Lecture 1 :
Installing Python 3 and Pip
Lecture 2 :
Installing AWS SDK (CLI)
Lecture 3 :
Preparing CLI with AWS Credentials
Lecture 4 :
Installing Boto3
Lecture 5 :
Verifying The Setup
Section 5 : Relational Database Service (RDS) with Boto3 15 Lectures 01:18:10
Lecture 1 :
Section Overview
Lecture 2 :
Scenario: AWS Console Perspective of What We'll Build
Lecture 3 :
Setting Up Our Project with PyCharm IDE
Lecture 4 :
Let's Check Out Boto3 API Docs!
Lecture 5 :
[Tip] Auto-Complete Magic with Pyboto on PyCharm IDE!
Lecture 6 :
Creating an RDS PostgreSQL DB Instance - Part 1
Lecture 7 :
Creating an RDS MySQL PostgreSQL DB Instance - Part 2
Lecture 8 :
AWS Console Checkpoint: RDS Instanc
Lecture 9 :
Connecting to PostgreSQL RDS Instance with Postico
Lecture 10 :
Describing RDS Instance
Lecture 11 :
Modifying RDS Instance
Lecture 12 :
Backing Up RDS Instance
Lecture 13 :
Restoring RDS Instance
Lecture 14 :
Deleting RDS Instance
Lecture 15 :
Section Summary
Section 6 : DynamoDB with Boto3 10 Lectures 00:39:14
Lecture 1 :
Section Overview
Lecture 2 :
Scenario: AWS Console Perspective of What We'll Build
Lecture 3 :
Setting Up Our Project with PyCharm IDE
Lecture 4 :
Let's Check Out Boto3 API Docs!
Lecture 5 :
Creating Table
Lecture 6 :
AWS Console Checkpoint: DynamoDB Table
Lecture 7 :
Describing Table
Lecture 8 :
Updating Table
Lecture 9 :
Deleting Table
Lecture 10 :
Section Summary
Section 7 : Wrapping Up 3 Lectures 00:06:12
Lecture 1 :
What Have We Learned?
Lecture 2 :
What Comes Next?
Lecture 3 :
Thank You!

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Niyazi Erdogan,

537516 Course Views

9 Courses

Hi, I'm Niyazi ErdoÄŸan. 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 most beautiful cities in the world, Istanbul. I'm a self-taught programmer and I've been programming since I was in middle-school. My experience ranges from embedded development to server-side and client-side development technologies.