Description

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, well start by taking a look at the tools and the environment that we need to work with AWS resources. Well 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, well create our credentials for AWS as being the AWS Access Key and AWS Secret Access Key for programmatic access to AWS resources. Youll learn how you can set your AWS credentials globally on your computers using AWS CLI. Before jumping into the implementation, for one last tip, Ill show you how you can have auto-complete capabilities on your PyCharm IDE with PyBoto3! Once were ready with our environment setup, well start implementing our solution on AWS! And remember well do everything with Python code; not a single thing manually or by hand! Well start off with RDS or Relational Database Service from AWS. Ill teach you how to launch your own Amazon RDS Instances purely with your Python code! Then well learn how to Take a Snapshot or namely backup our complete database instance. After that, Ill 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, Ill teach you how to create your own DynamoDB Tables on AWS with Python! Youll 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!