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

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

• 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

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

Url: View Details

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)

Rating: 4.5

Level: Beginner Level

Duration: 1.5 hours

Instructor: Hara Gopal