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

Description

• This course will discuss about some of core products and services offered by Amazon AWS. You'll primarily learn to Build and Deploy Python-Flask Web-Applications to Amazon AWS using Amazon Elastic Beanstalk

• As part of the Project, we’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 AWS 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

• You’ll also learn about Amazon’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.

What You Will 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 Should Attend!

• Python Developers Curious about Amazon AWS (Amazon Web Services)

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