Skip to main content

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.
Oct 14, 2025

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

Topics
Related

Tutorial

The Complete Guide to Machine Learning on AWS with Amazon SageMaker

This comprehensive tutorial teaches you how to use AWS SageMaker to build, train, and deploy machine learning models. We guide you through the complete workflow, from setting up your AWS environment and creating a SageMaker notebook instance to preparing data, training models, and deploying them as endpoints.
Bex Tuychiev's photo

Bex Tuychiev

Tutorial

Deep Learning with Jupyter Notebooks in the Cloud

This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.
Dan Becker's photo

Dan Becker

Tutorial

AWS Generative AI: How to Deploy, Govern, and Scale Solutions

A deep dive into how AWS generative AI powers scalable, secure, and cost-optimized AI applications across industries. Ideal for teams ready to move from pilot to production.
Rahul Sharma's photo

Rahul Sharma

code-along

Machine Learning on AWS

Suman Debnath, Principal Developer Advocate for Machine Learning at AWS, guides you through the essentials of running machine learning workflows on AWS.
Suman Debnath's photo

Suman Debnath

code-along

Creating AI Agents on AWS

Sowjanya Pandruju, Cloud Application Architect at AWS, teaches you how to develop and deploy AI agents using AWS.
Sowjanya Pandruju's photo

Sowjanya Pandruju

code-along

Machine Learning in Production with Python

Michelle Conway, Lead Data Scientist at Lloyds Banking Group, will walk you through a simple machine learning example on banking data, including feature engineering, training a model, making predictions, and assessing model performance.
Michelle Conway's photo

Michelle Conway

See MoreSee More