<p>In this course, we’ll start with what we’ll build throughout the course and what you need to have on your computer to follow along with me. We’ll cover what you need to install and setup on your computer to work with S3. Then, we’ll install Python, Boto3, and configure your environment for these tools. When we’re done with preparing our environment to work for AWS with Python and Boto3, we’ll start implementing our solutions for AWS.</p> <p>We’ll first go ahead with the following topics:</p> <ul> <li>FIFO or First-In-First-Out Queues on SQS</li> <li>Dead-Letter Queue and then bind to our Main Queue to allow messages to keep coming in case of a failure</li> <li>Message operations on SQS</li> <li>Creating SNS Topics</li> <li>Using SNS Topic Subscriptions</li> <li>Email Subscription to an SNS Topic</li> <li>learn SMS Subscriptions for SNS Topics</li> <li>Publish messages to SNS Topic Subscribers</li> </ul> <p>Again, SQS and SNS are amazing services from AWS and there are hundreds of ways you can make use of them. Let’s not lose more time and jump right into the implementation with SQS and SNS. People who are passionate and want to learn SQS and SNS will benefit from this course.</p> <p>All the code files are placed at <a href="https://github.com/PacktPublishing/Working-with-SQS-and-SNS-AWS-with-Python-and-Boto3-Series" target="_blank">https://github.com/PacktPublishing/Working-with-SQS-and-SNS-AWS-with-Python-and-Boto3-Series</a></p> <h1>Style and Approach</h1> <p>This course will emphasize on a step-by-step approach to teach you about SQS and SNS.</p>