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Amazon Web Services (AWS) with Python & Boto3

Amazon Web Services (AWS) with Python & Boto3
Amazon Web Services (AWS) with Python & Boto3
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 166 lectures (13h 57m) | Size: 5.6 GB

Learn how to work with Web Services (AWS) & Python

In this course students will learn how to work with AWS IAM
In this course you will learn how to work with AWS Dynamodb and how you can integrate that with Python
In this course you will learn how to work with AWS S3 (Simple Storage Services)
In this course you will learn how to work with AWS RDS (Relation Database Service)
In this course you will learn how to work with AWS EC2 (Elastic Compute Cloud)
In this course you will learn how to work with Lambda Functions
In this course you will learn how to work with SES (Simple Email Services)
In this course you will learn how to work with CloudFormation
In this course you will learn how to work with Elastic Beanstalk

Basic Knowledge of Python

In this course we are going to learn Web Services (AWS) with Python & Boto3, so Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally.

Millions of customers including the fastest growing startups, largest enterprises, and leading government agencies are using AWS to lower costs. And you can use AWS with different programming languages, in this course we want to learn AWS with Python Programming language.
This course is divided in to different sections.
In this first section we are going to talk about IAM, so IAM is AWS Identity and Access Management. With IAM, you can specify who can access which services and resources, and under which conditions, we will create some examples with AWS console and after that we go through Python Programming Language.
In the second section we want to learn about AWS Dynamodb, so DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB lets you offload the administrative burdens
of operating and scaling a distributed database so that you don't have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. You don't need to worry about these, because all of them are done by dynamodb.
In the third section want to talk about S3, so S3 stands for Simple Storage Service, it is an object storage service that offers industry-leading scalability, data availability, security, and performance.
In the fourth section we want to learn about RDS or Relational Database Services and we want to learn about three relational databases and their integration with python like MySQL, Postgres and Mariadb.
In the fifth section we are going to learn about EC2 or we can say elastic compute cloud and it provides scalable computing capacity in the Web Services (AWS) Cloud. We create some examples using the AWS console and after that we go through Python Language, also we are going to deploy our Django project in EC2.
In this sixth section we want to talk about AWS lambda function so it is server less computing service that lets you run code without provisioning or managing servers.
In the seventh section we want to learn about AWS CloudFormation so it is a service that helps you model and set up your AWS resources using JSON or YAML template.
In the eight section we want to learn about AWS SES or we can say Simple Email Services, and using this service we can send emails to our customers.
In the ninth section we are going to learn about Elastic Beanstalk, so it is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, x, Passenger, and IIS, also in this section we create a simple project in Django with RDS functionalities and after that we deploy that to elastic beanstalk.
What is Python
Python is a high-level general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small- and large-scale projects

Those who are interested in working with Web Services (AWS) with Python

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