In this tutorial, we'll dive into the process of triggering an Amazon SageMaker Jupyter notebook file from an AWS Lambda function using WebSockets. This powerful integration allows you to automate your machine learning workflows and execute Jupyter notebooks on demand. Join us as we walk through the steps to set up the WebSocket server, configure the Lambda function, and run your notebook seamlessly. Perfect for data scientists and engineers looking to streamline their workflows!
🔹 Topics Covered:
Setting up WebSockets in SageMaker
Creating an AWS Lambda function
Writing the Lambda function code
Configuring timeouts and memory
Testing the Lambda function
🔹 Resources:
Code blog:-
https://deltafrog.net/trigger-sagemaker-jupyter-notebook-file-from-aws-lambda/
Create Lambda layer:-
https://youtu.be/Q5mlWeyKnZs?feature=shared
