Search⌘ K
AI Features
Home
Courses
Data Science in Production: Building Scalable Model Pipelines

Introduction to Models as Serverless Functions

Explore how to deploy machine learning models as serverless functions in cloud environments like AWS and GCP. Understand managed services, function triggers, and hosting sklearn and Keras models. This lesson helps you transition models from prototype to production with scalable, event-driven architecture.

We'll cover the following...

Serverless functions

Serverless technologies enable developers to write and deploy code without needing to worry about provisioning and maintaining servers. One of the most common uses of this technology is serverless functions, which makes it much easier to author code that can scale to match variable workloads. With serverless function environments, you write a function that the runtime ...