Master AWS Lambda Functions for Data Engineers using Python

1. Setup required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services
2. Setup Project or Development Environment to develop applications using Python and AWS Services
3. Getting Started with AWS by creating account in AWS and also configure AWS CLI as well as Review Data Sets used for the project
4. Develop Core Logic to Ingest Data from source to AWS s3 using Python boto3
5. Getting Started with AWS Lambda Functions using Python 3 Run-time Environment
6. Refactor the application, build zip file to deploy as AWS Lambda Function
7. Create AWS Lambda Function using Zip file and Validate
8. Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
9. Build custom docker image for the application and push to AWS ECR
10. Create AWS Lambda Function using the custom docker image in AWS ECR
11. Develop Applications using AWS Lambda Functions by adding Python Modules as Layers