Amazon Web Services (AWS) with Python & Boto3 from Udemy

In this course we are going to learn Amazon Web Services (AWS) with Python & Boto3, so Amazon 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.

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

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 amazon 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 Amazon RDS or Amazon 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 Amazon EC2 or we can say elastic compute cloud and it provides scalable computing capacity in the Amazon 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, .js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, 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.

In the tenth section we are going to create a complete practical Blog project with Python and Django, we add Amazon RDS functionality to our Python web project, after that we deploy our web project to elastic beanstalk, after deploying to Amazon Elastic Beanstalk we add a custom domain name from Amazon Route53 to our project and at the end we secure our Python Web project with Amazon SSL Certificate Manager.

In the eleventh section we are going to create a complete practical Blog project with Python and Flask, particularly in this section we are going to focus that how we can deploy our Python Flask project in Elastic Beanstalk using Amazon Code Pipeline.

What's inside

Learning objectives

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 amazon elastic beanstalk

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 amazon elastic beanstalk

Syllabus

In this section we are going to introduce our course

Course Introduction

Course Requirements

In this lesson we are going to learn about AWS and IAM

Section Introduction

AWS Introduction & Creating Account

AWS Region Overview

Whats Is IAM

Creating IAM User

AWS Console UI Changes

IAM User Group

Boto3 & AWS CLI Configuration

Changes in IAM Creating Programmatic Access Key

Create Users with Python & Boto3

Getting All Users from AWS with Python

Updating User with Python & Boto3

10. Creating Custom Policy with Python & Boto3

Listing All Policies in AWS with Python

Attach Policy to User with Python

Detach User Policy with Python

Creating IAM User Group with Python & Boto3

Attach Policy to IAM User Group with Python

Adding Users to IAM User Group with Python

Detach Policy from User Group with Python

Create Access Key for the User

Creating Login Profile with Python & Boto3

Delete User with Python & Boto3

Delete User from Group

In this section we want to learn about AWS CloudShell

AWS CloudShell Create IAM User

AWS CloudShell IAM Login Profile

AWS CloudShell IAM User Policy

AWS CloudShell Create Access Key

AWS CloudShell Create Group

In this section we want to talk about some advanced concepts in AWS IAM with Python

Create AWS IAM Roles with Python

Attach Policy to Role with Python

Create Instance Profile

Add Role to IAM Instance Profile with Python

Create EC2 Instance with IAM Role

IAM Conditional Policies with Python

IAM User Tag Management with Python

In this lesson we are going to learn about aws dynamodb

Introduction to Dynamodb

Creating Table in Dynamodb

Dynamodb Read & Write Capacity Units

Dynamodb PartiQL Editor

Dynamodb Global Secondary Index (GSI)

Inserting Data to Dynamodb with Python & Boto3

Insert Data with Boto3 Client

BatchWriter with Python & Boto3

Describe Dynamodb Table with Python & Boto3

Listing Dynamodb Tables with Python & Boto3

Update Dynamodb Table with Python & Boto3

Creating Backup for Dynamodb with Python & Boto3

Get item from Dynamodb with Python

Get Batch Item with Python & Boto3

Get Item with Client in Python

Scan Dynamodb Table with Python & Boto3

Creating Dynamodb Table with Python & Boto3

Loading JSON File to Dynamodb Table

Get the Movie Data from Dynamodb with Python

Updating the Movie data with Boto3

Delete Movie with Python & Boto3

Get All Movies with Query in Python & Boto3

In this lesson we are going to learn about AWS Simple Storage Services (S3)

Amazon S3 Introduction

Uploading files to S3 Bucket

Creating Bucket with Python & Boto3

Creating Bucket with Client in Boto3 & Python

Uploading Image to Bucket with Boto3 & Python

Listing All Buckets with Boto3 and Python

Deleting Buckets with Python & Boto3

Delete Not Empty Bucket with Python & Boto3

Upload File with Python & Boto3

Download File with Python & Boto3

Listing Files from AWS Bucket with Python & Boto3

Listing Filtered Objects with Python & Boto3

Get Summary of Object with Python & Boto3

Copy an Object to Another Bucket with Python

Delete an Object from Bucket with Python

Hosting Static Website in Amazon S3

Get Website Configuration from Bucket with Python

Delete Attached Policy from Bucket with Python

Delete Website from Bucket with Python

In this section we want to learn about S3 Encryption

S3 Encryption Introduction

Prevent Unencrypted Objects to S3

AWS S3 Encryption with Python

Check S3 Encryption with Python

Add Policy to Bucket with Python

Get Bucket Policy with Python

Delete Bucket Encryption with Python

In this lesson we are going to learn about amazon relational database, we will learn that how you can create MySQL, PostgreSQL and Mariadb instances with RDS

Introduction to Amazon RDS

Creating MySQL Database Instance in Amazon RDS

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops knowledge of AWS services like IAM, DynamoDB, S3, RDS, EC2, Lambda Functions, SES, CloudFormation, and Elastic Beanstalk, all of which are industry standards

Introduces serverless computing with Lambda Functions, a highly in-demand skill in the industry

Provides hands-on experience with AWS CloudFormation, a valuable tool for automating and managing cloud infrastructure

Covers deployment to Amazon Elastic Beanstalk, a popular platform for hosting web applications on AWS

Includes a practical project where students build a complete blog application with Python and Django, providing valuable hands-on experience

Teaches how to integrate Amazon RDS with Python web projects, a valuable skill for working with relational databases in the cloud

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Amazon Web Services (AWS) with Python & Boto3 with these activities:

Review previous programming concepts

Show steps

Strengthen your programming foundation by reviewing key concepts prior to taking the course.

Browse courses on Python

Show steps

Review your notes or textbooks from previous programming courses.
Practice writing basic programs using concepts such as variables, loops, and functions.
Complete online exercises or tutorials to refresh your understanding of programming principles.

Read "AWS in Action" by Andreas Wittig

Show steps

Review core AWS concepts, services, and best practices to enhance your understanding of the platform.

View Amazon Web Services in Action, Third Edition:... on Amazon

Show steps

Acquire a copy of the book "AWS in Action".
Read chapters 1-5 to gain a foundational understanding of AWS concepts and services.
Complete the practice exercises at the end of each chapter to reinforce your knowledge.
Refer to the book throughout the course as a reference for specific topics and examples.

Follow AWS Lambda tutorials

Show steps

Enhance your understanding of AWS Lambda by following guided tutorials to build and deploy serverless functions.

Browse courses on AWS Lambda

Show steps

Access the AWS Lambda documentation and tutorials section.
Select a tutorial that aligns with your skill level and interests.
Follow the step-by-step instructions carefully to build a Lambda function.
Test and deploy your Lambda function using the provided instructions.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Participate in a study group with other students

Show steps

Enhance your learning experience by connecting with other students and exchanging knowledge through a study group.

Show steps

Reach out to other students in the course and form a study group.
Establish a regular meeting schedule and choose a platform for communication.
Discuss course materials, share insights, and work together on assignments.
Provide feedback and support to group members.

Complete AWS CodePipeline exercises

Show steps

Sharpen your hands-on skills through practical exercises focused on building and deploying applications using AWS CodePipeline.

Browse courses on AWS CodePipeline

Show steps

Set up an AWS account and create an IAM user with appropriate permissions.
Follow the AWS CodePipeline documentation to create a pipeline for a sample application.
Trigger the pipeline and monitor its progress.
Troubleshoot any issues that may arise during the deployment process.

Build a simple web application using AWS EC2 and Python

Show steps

Apply your AWS and Python skills to build a functional web application, reinforcing your understanding of these technologies.

Browse courses on AWS EC2

Show steps

Create an AWS EC2 instance and set up a Python development environment.
Design and implement a simple web application using Flask or Django.
Configure the application to run on the EC2 instance using WSGI or uWSGI.
Test and debug the application to ensure proper functionality.
Deploy the application to your EC2 instance and make it accessible to users.

Create a blog post on a specific AWS service

Show steps

Solidify your knowledge by creating a blog post on a specific AWS service, explaining its features and benefits.

Browse courses on AWS Services

Show steps

Choose an AWS service that you are familiar with and passionate about.
Research and gather information about the service, including its use cases and technical details.
Write a well-organized and informative blog post, highlighting key concepts and providing examples.
Publish your blog post on a relevant platform and share it with others.

Contribute to an open-source AWS project

Show steps

Gain hands-on experience with AWS by contributing to an open-source project, deepening your understanding of real-world applications.

Browse courses on Open Source

Show steps

Identify an open-source AWS project that aligns with your interests and skills.
Review the project documentation and contribute to issues or feature requests.
Propose and implement changes or enhancements to the project.
Submit pull requests and collaborate with other contributors.
Stay engaged with the project community and follow its development.

Career center

Learners who complete Amazon Web Services (AWS) with Python & Boto3 will develop knowledge and skills that may be useful to these careers:

Cloud Architect

A Cloud Architect plays an essential role in the design, planning, and management of cloud computing systems. This course helps build a foundation in cloud computing concepts, including AWS services like IAM, EC2, S3, and RDS. By understanding these core services, you'll be better equipped to design and manage cloud solutions that meet the needs of your organization.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers combine software development and IT operations to streamline the development and delivery of software applications. This course provides hands-on experience with AWS services like EC2, S3, and RDS, which are widely used in DevOps environments. By gaining proficiency in these tools, you'll be better prepared to contribute to DevOps teams and improve the efficiency of software delivery.

See salaries and explore the career path for DevOps Engineer

Cloud Developer

Cloud Developers build and maintain applications that run in the cloud. This course provides hands-on experience with AWS services like EC2, S3, and Lambda, which are essential for cloud development. By gaining proficiency in these tools, you'll be better prepared to build and deploy cloud-native applications that scale and perform efficiently.

See salaries and explore the career path for Cloud Developer

Data Analyst

Data Analysts use data to identify trends, patterns, and insights that can help businesses make informed decisions. This course covers AWS services like DynamoDB and S3, which are commonly used for data storage and analysis. By gaining experience with these services, you'll be better equipped to extract value from data and contribute to data-driven decision-making.

See salaries and explore the career path for Data Analyst

Solutions Architect

Solutions Architects design and implement cloud solutions that meet the specific needs of customers. This course provides comprehensive coverage of AWS services, including IAM, EC2, S3, RDS, and Lambda. By mastering these services, you'll be well-equipped to design and deliver innovative cloud solutions that drive business value.

See salaries and explore the career path for Solutions Architect

Data Engineer

Data Engineers design and build data pipelines for collecting, storing, and processing data. This course covers AWS services like S3, DynamoDB, and Redshift, which are widely used for data storage and processing. By gaining experience with these services, you'll be better equipped to build and manage data pipelines that deliver timely and reliable data for analysis and decision-making.

See salaries and explore the career path for Data Engineer

Cloud Security Engineer

Cloud Security Engineers are responsible for protecting cloud computing systems and data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course covers AWS services like IAM and CloudFormation, which are essential for implementing security measures in the cloud. By gaining proficiency in these services, you'll be better equipped to protect cloud environments and ensure compliance with security regulations.

See salaries and explore the career path for Cloud Security Engineer

Database Administrator

Database Administrators are responsible for managing and maintaining database systems. This course covers AWS services like RDS, which is a managed database service that simplifies database administration tasks. By gaining experience with RDS, you'll be better equipped to manage and maintain databases in the cloud, ensuring high availability and performance.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a solid foundation in AWS services like EC2, S3, and RDS, which are widely used in software development. By gaining proficiency in these tools, you'll be better prepared to build and deploy scalable, reliable software applications.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design and develop websites and web applications. This course covers AWS services like EC2 and S3, which are commonly used for hosting and serving web content. By gaining experience with these services, you'll be better equipped to build and deploy scalable, high-performance web applications.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists use data to build models and algorithms that can predict future events or outcomes. This course covers AWS services like DynamoDB and S3, which are commonly used for storing and processing large datasets. By gaining experience with these services, you'll be better equipped to build and deploy data science models that can drive business insights.

See salaries and explore the career path for Data Scientist

Network Engineer

Network Engineers design, implement, and maintain computer networks. This course covers AWS services like VPC, which is a virtual private cloud service that provides networking functionality in the cloud. By gaining experience with VPC, you'll be better equipped to design and manage cloud networks that are secure and reliable.

See salaries and explore the career path for Network Engineer

Security Analyst

Security Analysts monitor and analyze data to identify and respond to security threats. This course covers AWS services like CloudTrail and CloudWatch, which provide visibility into cloud activity and help detect suspicious behavior. By gaining experience with these services, you'll be better equipped to protect cloud environments from security breaches and cyberattacks.

See salaries and explore the career path for Security Analyst

IT Manager

IT Managers plan, organize, and direct the implementation and operation of computer systems and networks. This course provides a comprehensive overview of AWS services, including IAM, EC2, S3, RDS, and Lambda. By gaining proficiency in these services, you'll be better equipped to manage cloud infrastructure and services, ensuring alignment with business objectives.

See salaries and explore the career path for IT Manager

Systems Administrator

Systems Administrators manage and maintain computer systems. This course covers AWS services like EC2, which is a compute service that provides virtual servers in the cloud. By gaining experience with EC2, you'll be better equipped to manage and maintain cloud-based systems, ensuring uptime and performance.

See salaries and explore the career path for Systems Administrator