RDS PostgreSQL and DynamoDB CRUD: AWS with 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 connect to your RDS DB instances using Python and psycopg2 library and implement all Create, Read, Update and Delete (CRUD) operations? Or do you want to learn how to implement NoSQL DynamoDB Tables on AWS and work with data from scanning, and querying to update, read and delete operations?

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 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 connect to our RDS database instance using Python and psycopg2 library. After that, I’ll teach you how to execute your queries against RDS PostgreSQL using the psycopg2 library and we’ll implement SELECT, INSERT, DELETE, and UPDATE so basically all the CRUD operations against our own-launched RDS PostgreSQL instance on AWS!

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.

And I’ll share the great news for you there is a Local version of DynamoDB that you can simply run on your computer to play around with! I will show you how you can get and run the Local version of DynamoDB on your computer and we’ll set our environment and boto3 client configuration accordingly.

Then we’ll start making our way to putting new items, updating, deleting and reading them. Once we learn the basic CRUD operations with DynamoDB, we’ll move on to rather advanced operations like scanning and querying.

We’ll also implement a script to insert our sample data set of “movies” into our DynamoDB Movies table! Once we insert the data, we’ll start exploring how we can search it using DynamoDB query operation and we’ll also learn how we can use conditions. And finally, we’ll take a look at the scan operation which basically scans your whole data and retrieves the results you need. So to filter out the results from the scan operation, we’ll apply filter expressions to our scan operation and see how things work with DynamoDB.

Lots of information, hands-on practice and experience are 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 is this course for?

• Beginners on AWS who want to put their theory into practice.
• AWS Certification preppers who want to practice their knowledge with real projects.
• Who wants to learn and implement Infrastructure-as-a-Code or IaaS on AWS?
• Who wants to learn how to develop infrastructure on AWS using Python?
• Who wants to learn AWS Python API namely Boto3?