AWS With Python and Flask - Beanstalk, DynamoDB, Boto3, SNS

Focused View

Hara Gopal

1:42:22

10 View

1 - AWS and Elastic Beanstalk Basics

1 - What is AWS.mp4

03:36

1 - awslandscape.zip

2 - Course TakeAways.mp4

01:57

3 - Elastic Beansalk WebPage.txt

3 - What is Elastic Beanstalk.mp4

04:44

4 - Elastic Beanstalk Application Structure.mp4

03:43

5 - Elastic Beanstalk Architecture.mp4

03:21

5 - Elastic Beanstalk Background Resources.txt

6 - AWS Cost Management.txt

6 - AWS Pricing.mp4

03:15

6 - AWS Pricing.txt

7 - Deleting the EB Applications.mp4

02:45

8 - AWS Identity and Access Management IAM.txt

8 - Creating Users using IAM.mp4

05:13

2 - Building the Flask Application

9 - Simple Flask Application.mp4

04:20

10 - Initiate Deployment.mp4

06:18

11 - Adding HTML and CSS.mp4

04:30

11 - ebflaskhtmlcss.zip

12 - Creating the SignUP Form.mp4

05:47

12 - forms.zip

13 - Adding HTML for The Signup Form.mp4

05:06

13 - signuphtml.zip

3 - Working With Amazon DynamoDB

14 - Tables Items and Attributes.txt

14 - What is DynamoDB.mp4

03:37

14 - dynamodb.txt

15 - DynamoDB Demo.mp4

04:52

15 - Throughput.txt

16 - AWS CLI.txt

16 - Boto3.txt

16 - Boto3 and AWS CLI.mp4

03:26

17 - CRUD Operations 1.mp4

02:11

18 - CRUD Operations 2.mp4

04:59

18 - crud.zip

19 - CRUD Operations Documentation.txt

19 - Save Form Data in DynamoDB.mp4

03:21

20 - Navigation Links and Flash Messaging.mp4

04:35

21 - Deployment and Error Logs.mp4

03:54

21 - eb deploy command options.txt

22 - Fix Permission Problems.mp4

03:19

22 - eb logs.txt

4 - IAM and SNS

23 - AWS Identity and Access Management Documentation.txt

23 - AWS Identity and Access Management IAM.txt

23 - IAM Basics.mp4

01:59

24 - Amazon Simple Notification Service.txt

24 - SNS Basics.mp4

04:51

24 - SNS Docs.txt

25 - Boto3 Client Method.txt

25 - Boto3 Resource Method.txt

25 - SNS Permissions.mp4

04:26

26 - Deploy The Final Version.mp4

02:17

26 - awsebflasksourcecodefinal.zip

Description

Build and Deploy Python Flask Applications to Amazon AWS with Elastic Beanstalk, Boto3, DynamoDB, and SNS

What You'll Learn?

Understand The AWS Landscape
Build and Deploy Flask Applications to Amazon AWS using Elastic Beanstalk
Learn and Work with AWS Identity and Access Management (IAM)
Learn About Boto3 (Amazon Web Services SDK for Python) to Access AWS Resources
Create DynamoDB Tables and Perform CRUD operations (create, read, update, delete) using Boto3
Send Email Notifications using Amazon SNS (Amazon Simple Notification Services) using Boto3

Who is this for?

Python Developers Curious about Amazon AWS (Amazon Web Services)

What You Need to Know?

Python and Flask Basics

More details

Description

This course will discuss about some of core products and services offered by Amazon AWS.Â You'll primarily learn to Build and Deploy Python-Flask Web-Applications to Amazon AWS using Amazon Elastic Beanstalk
As part of the Project, weâ€™ll build a Flask Application with a User SignUp Form. When the users enter data and submit the form, the data will be captured into the Amazon DynamoDB table, and an Email will be sent to the Owner of the Web-Application about the form submission using Amazon SNS
Along the Way, we'll discuss about Identity and Access Management (IAM), using which we can create users and groups to manage permissions to various AWSÂ resources
You'll learn to work with Boto3, which is the Amazon Web Services SDK for Python, that allows Python developers to access Amazon services like EC2 instances, DynamoDB, S3 Buckets etc
Youâ€™ll also learn about Amazonâ€™s NoSQL DynamoDB Database and learn to perform CRUD operations (create, read, update, and delete data)
The Project is simple but is a practical use-case for collecting information from Users or Customers and store the data in a database for later use and Analysis
Amazon Web Services. It is a cloud computing platform provided by Amazon that offers a wide range of cloud-based services and tools to individuals, businesses, and organizations. These services include computing power, storage, database services, analytics, machine learning, networking, developer tools, security, and much more. AWS is designed to be scalable, reliable, and cost-effective, making it a popular choice for businesses of all sizes looking to move their IT infrastructure to the cloud.
Flask is a lightweight and flexible web application framework for Python. It is classified as a micro-framework because it does not require particular tools or libraries to be used and it has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. Flask is simple to set up and use, making it a popular choice for small to medium-sized web applications. With Flask, developers have the flexibility to choose their own database, template engines, and other libraries, making it highly customizable. Flask also provides built-in development server and debugger, making it easier to debug applications.
DynamoDB is a fully-managed NoSQL database service provided by Amazon Web Services. NoSQL databases are designed to handle large volumes of unstructured and semi-structured data, making them a good fit for modern applications that require flexible and scalable data storage solutions.
Boto3 is the Amazon Web Services (AWS) SDK for Python, which allows developers to write Python code to interact with AWS services. Boto3 provides a Pythonic interface to AWS services, making it easier to integrate AWS services into your Python applications.
Who this course is for:
Python Developers Curious about Amazon AWS (Amazon Web Services)

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I am a programmer by interest. Simply put, I build apps and automate boring stuff. In teaching you, I reinforce my own understanding ...A wise man once said - You can know the name of that bird in all the languages of the world, but when you’re finished, you’ll know absolutely nothing about the bird. So, let’s look at the bird and see what it’s doing - that’s what counts

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