Introduction to AWS Boto in Python
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
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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!
- 1
Putting Files in the Cloud!
FreeEmbark 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 Boto350 xpYour first boto3 client100 xpMultiple clients100 xpRemoving repetitive work50 xpDiving into buckets50 xpCreating a bucket100 xpListing buckets100 xpDeleting a bucket100 xpDeleting multiple buckets100 xpUploading and retrieving files50 xpPutting files in the cloud100 xpSpring cleaning100 xp - 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 secure50 xpMaking an object public50 xpUploading a public report100 xpMaking multiple files public100 xpAccessing private objects in S350 xpGenerating a presigned URL100 xpOpening a private file100 xpSharing files through a website50 xpGenerate HTML table from Pandas100 xpUpload an HTML file to S3100 xpCase Study: Generating a Report Repository50 xpCombine daily requests for February100 xpUpload aggregated reports for February100 xpUpdate index to include February100 xpUpload the new index100 xp - 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.
SNS Topics50 xpCreating a Topic100 xpCreating multiple topics100 xpDeleting multiple topics100 xpSNS Subscriptions50 xpSubscribing to topics100 xpCreating multiple subscriptions100 xpDeleting multiple subscriptions100 xpSending messages50 xpSending an alert100 xpSending a single SMS message100 xpCase Study: Building a notification system50 xpCreating multi-level topics100 xpDifferent protocols per topic level100 xpSending multi-level alerts100 xp - 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 patterns50 xpCat detector100 xpMultiple cat detector100 xpParking sign reader100 xpComprehending text50 xpDetecting language100 xpTranslating Get It Done requests100 xpGetting request sentiment100 xpCase Study: Scooting Around!50 xpScooter community sentiment100 xpScooter dispatch100 xpWrap up50 xp
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Maksim Pecherskiy
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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. he came to the US from Ukraine when he was 10 years old, lived in 5 countries and speaks 3 languages.
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