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Introduction to AWS Boto in Python

IntermediateSkill Level
4.8+
188 reviews
Updated 05/2024
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
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AWSCloud4 hr15 videos54 Exercises4,550 XP18,172Statement of Accomplishment

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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 ToolboxAWS 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!
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2

Sharing Files Securely

3

Reporting and Notifying!

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!
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Introduction to AWS Boto in Python
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*4.8
from 188 reviews
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  • JEREMIAH
    20 hours ago

  • Jordie
    6 days ago

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    last week

  • Tanusha
    3 weeks ago

  • Evin
    3 weeks ago

    Ayeee

  • Ashley
    3 weeks ago

    Great!

JEREMIAH

Jordie

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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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