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Course

Introduction to AWS Boto in Python

IntermediateSkill Level

4.8+

Updated 05/2024

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

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AWSCloud

4 hr

15 videos

54 Exercises

4,550 XP

18,188

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Course Description

What if you were no longer constrained by the capabilities of your laptop? What if you could get an SMS when a city garbage truck camera spots a missing a cat? This is all possible with cloud technology. This course will teach you how to integrate Amazon Web Services (AWS) into your data workflow. You’ll learn how to upload data to S3, AWS cloud storage. You’ll use triggers from your analysis to send text messages with AWS SNS. You will use Rekognition to detect objects in an image. And you will use Comprehend to decide if a piece of feedback is negative. By the time you’re done, you will learn how to build a pipeline, subscribe people to it, and send them text messages when an image contains a cat!

Prerequisites

Python Toolbox AWS Concepts

1

Putting Files in the Cloud!

Embark on the world of cloud technology! From learning how AWS works to creating S3 buckets and uploading files to them. You will master the basics of setting up AWS and uploading files to the cloud!

Intro to AWS and Boto3

Your first boto3 client

Multiple clients

Removing repetitive work

Diving into buckets

Creating a bucket

Listing buckets

Deleting a bucket

Deleting multiple buckets

Uploading and retrieving files

Putting files in the cloud

Spring cleaning

2

Sharing Files Securely

Continue your journey in mastering AWS by learning how to upload and share files securely. You will learn how set files to be public or private, and cap off what you learned by generating web-based reports!

Keeping objects secure

Making an object public

Uploading a public report

Making multiple files public

Accessing private objects in S3

Generating a presigned URL

Opening a private file

Sharing files through a website

Generate HTML table from Pandas

Upload an HTML file to S3

Case Study: Generating a Report Repository

Combine daily requests for February

Upload aggregated reports for February

Update index to include February

Upload the new index

3

Reporting and Notifying!

Next, you will learn how to automate sharing your findings with the world by building notification triggers for your analysis! You will learn how to harness AWS to send SMS and email notifications to users and cap off what you learned by making custom notifications depending on a user's needs.

Creating a Topic

Creating multiple topics

Deleting multiple topics

SNS Subscriptions

Subscribing to topics

Creating multiple subscriptions

Deleting multiple subscriptions

Sending messages

Sending an alert

Sending a single SMS message

Case Study: Building a notification system

Creating multi-level topics

Different protocols per topic level

Sending multi-level alerts

4

Pattern Rekognition

Finally, you will go beyond uploading, sharing and notifying into rekognizing using AWS Rekognition and other AWS machine learning services to recognize cats, translate language and detect sentiment. You will be capping off your learning journey by applying a real-world use case that mixes everything you've learned!

Rekognizing patterns

Cat detector

Multiple cat detector

Parking sign reader

Comprehending text

Detecting language

Translating Get It Done requests

Getting request sentiment

Case Study: Scooting Around!

Scooter community sentiment

Scooter dispatch

Introduction to AWS Boto in Python

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FAQs

Which AWS services does this course teach me to use with Python?

You will work with S3 for cloud storage, SNS for sending text messages, Rekognition for image object detection, and Comprehend for sentiment analysis of text.

Do I need prior AWS experience before starting this course?

You should understand basic AWS concepts and be comfortable with intermediate Python, including functions and iterators, before enrolling in this Boto course.

What is the hands-on project built during this course?

You build a pipeline that uses Rekognition to detect cats in images, subscribes people via SNS, and sends them text messages when a cat is found.

Does the course cover securing and sharing files stored in S3?

Yes. An entire chapter focuses on uploading files securely to S3, managing access permissions, and sharing files with controlled access settings.

How many exercises does the course include?

The course has 98 exercises spread across four chapters, providing extensive hands-on practice with each AWS service covered through the Boto3 library.

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