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Introduction to Data Science in the Cloud with Python, AWS & Boto3

Tuesday, May 14, 11AM ET

Key Takeaways

  • Learn how to get started using AWS from Python.
  • Learn how to use the S3, Rekognition and SNS services.
  • Learning how to combine services into a cloud data or AI pipeline.

Your Presenter(s)

Maksim Pecherskiy headshot

Maksim Pecherskiy

Data Engineer at World Bank

Maksim Pecherskiy works for the World Bank and is the lead data engineer for the Development Data Partnership. Previously, he served as the first Chief Data Officer for the City of San Diego and as a Code for America fellow working in Puerto Rico. Maksim bridges the gap between people contributing to the public good and the technology they need to succeed. He came to the US from Ukraine when he was 10 years old, lived in 5 countries, and speaks 3 languages.

Why this matters

The last decade has seen a huge shift from working locally on a PC or laptop to working in the cloud. The largest cloud of all is Amazon Web Services, AWS, with hundreds of tools for working with data and AI.

In this session, you'll learn how to get started using AWS via a Python interface and the boto3 package. You'll upload data to the S3 storage cloud, use the Rekognition AI image detection service, and build an AI pipeline that sends you text messages with the SNS service.

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