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

Development

Work with RDS and DynamoDB: AWS with Python and Boto3 Series, available at $34.99, has an average rating of 4.05, with 47 lectures, based on 108 reviews, and has 1196 subscribers.

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You will learn about 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! You'll be confident to work with AWS APIs using Python for any kind of AWS Resource on RDS and DynamoDB! This course is ideal for individuals who are Beginners on AWS who wants to put their theory in practice or AWS Cloud Architect Associate Exam Preppers who wants to practice their theories with real projects or Who wants to learn how to implement Infrastructure-as-a-Code or IaaS on AWS or Who wants to learn how to develop infrastructures on AWS using Python or Who wants to learn AWS Python API or namely Boto3 It is particularly useful for Beginners on AWS who wants to put their theory in practice or AWS Cloud Architect Associate Exam Preppers who wants to practice their theories with real projects or Who wants to learn how to implement Infrastructure-as-a-Code or IaaS on AWS or Who wants to learn how to develop infrastructures on AWS using Python or Who wants to learn AWS Python API or namely Boto3.

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

Summary

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

Price: $34.99

Average Rating: 4.05

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will 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!
  • You'll be confident to work with AWS APIs using Python for any kind of AWS Resource on RDS and DynamoDB!

Who Should Attend

  • 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

Target Audiences

  • 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

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: About This Course

Lecture 3: What We Will Build in This Course

Lecture 4: What Do You Need For This Course

Chapter 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!

Chapter 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

Chapter 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

Chapter 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 Instance

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

Chapter 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

Chapter 7: Wrapping Up

Lecture 1: What Have We Learned?

Lecture 2: What Comes Next?

Lecture 3: Thank You!

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 5 votes
  • 3 stars: 22 votes
  • 4 stars: 32 votes
  • 5 stars: 48 votes

Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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