<ul><li>Deploying Lambda functions with large dependencies can be challenging due to the 250MB layer limit, but using containerized deployment with Docker images provides a workaround.</li><li>To implement this method, you need Docker, AWS CLI, and VS Code for creating and deploying a Lambda function.</li><li>The process involves creating a source folder with a Python file for the Lambda function, setting up a Dockerfile using the AWS Python base image, creating an Elastic Container Registry (ECR), building and pushing the Docker image to ECR, and creating the Lambda function.</li><li>Finally, testing the function confirms its functionality, allowing for customization of the handler and addition of dependencies as needed.</li></ul>

Deploying AWS Lambda with Docker: Bypass the 250MB Layer Limit

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