ML Zoomcamp 2023 – Serverless – Part 7

API Gateway: exposing the lambda function In this article we want to take the lambda function which was created in the last article and expose it as a web service. For that we will use API Gateway which is a service from AWS that lets us expose different AWS services as web services including lambdaContinue reading “ML Zoomcamp 2023 – Serverless – Part 7”

ML Zoomcamp 2023 – Serverless – Part 6

Creating the lambda function Publish the image to AWS ECR Last time we used “Author from scratch” to create a lambda function on AWS. This time we use the option “Container image” for this. Here we need to provide the “Amazon ECR image URI”, which is a place where we can publish images. ECR meansContinue reading “ML Zoomcamp 2023 – Serverless – Part 6”

ML Zoomcamp 2023 – Serverless – Part 5

Preparing a Docker image In this part we want to package everything into a docker container. We use an AWS base image for our Dockerfile. You can find the public images from aws here (public.ecr.aws –> gallery.ecr.aws). In the gallery you can search for “python lambda” and we can find “python by AWS Lambda”. ThenContinue reading “ML Zoomcamp 2023 – Serverless – Part 5”

ML Zoomcamp 2023 – Serverless – Part 1

In this chapter, we will focus on how to take the trained model and deploy it. There are different ways to deploy a model, and one option is to deploy it using AWS Lambda. Introduction to serverless and AWS Lambda AWS Lambda enables the deployment of various applications, including machine learning models. The process involvesContinue reading “ML Zoomcamp 2023 – Serverless – Part 1”