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Deploying Python on AWS

Eric Riddoch, Director of Machine Learning Platform at Pattern, will guide you through deploying a Python-based machine learning model on AWS.
Eric Riddoch
Eric Riddoch

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Turning machine learning models into production-ready services is one of the most valuable skills for data professionals today. From deployment to monitoring, understanding how to run models on cloud infrastructure like AWS is essential for building reliable, scalable solutions that deliver real-world impact.

In this code-along, Eric Riddoch, Director of Machine Learning Platform at Pattern, will guide you through deploying a Python-based machine learning model on AWS. You'll walk through using AWS Lambda and infrastructure-as-code tools to develop a Python REST API, allowing others to programmatically access your models.

Key Takeaways:

  • Learn how to deploy REST APIs using AWS.
  • Understand infrastructure as code principles for Python on AWS.
  • Discover best practices for robust and scalable Python deployments on AWS.

Session Resources

Subiecte

PythonAWSArtificial Intelligence

Conexe

Tutorial

The Complete Guide to Machine Learning on AWS with Amazon SageMaker

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