Introduction to AWS Boto in Python

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Imagine your laptop's potential capabilities being extended beyond what it can do. Imagine your laptop being able to send an SMS when it spots a cat missing from a trash truck. This is possible thanks to cloud technology. This course will teach you how to integrate Amazon Web Services in your data workflow. This course will show you how to upload data to S3, AWS cloud storage. Your analysis will trigger AWS SNS to send SMS messages. To identify objects in an image, Rekognition is used. To determine whether feedback is positive, Comprehend will be used. You will be able create a pipeline to subscribe others.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Python

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Intermediate Python

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Python Data Science Toolbox (Part 1)

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Python Data Science Toolbox (Part 2)

What You Will Learn

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

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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

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You will use Rekognition to detect objects in an image

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You will learn how to build a pipeline, subscribe people to it, and send them text messages when an image contains a cat!

Course Instructors

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Maksim Pecherskiy

Data Engineer

Maksim is a Data Engineer at the World Bank, and formerly the Chief Data Officer at the City of San Diego. He also works with tech companies to help them effectively connect technology to government....

Course Reviews

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