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What you'll learn?
- 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
Course Overview
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
Pre-requisites
- 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
Target Audience
- 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
Curriculum 49 Lectures 03:15:16
-
Section 1 : Introduction
- 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
- 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
- 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
- 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
- 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
- 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
- Lecture 1 :
- What Have We Learned?
- Lecture 2 :
- What Comes Next?
- Lecture 3 :
- Thank You!
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Instructor
536480 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.
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