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.
Presenter Bio
Eric RiddochDirector of Machine Learning Platform at Pattern
Eric runs the machine learning engineering team at e-commerce platform Pattern. His focus is on building tools to allow data science teams to self-deploy data and ML products. He has a decade of experience as a data engineer and MLOps engineer. He also teaches MLOps at MLOps Club.
