The below sections will help you prepare for the Google Cloud Platform- Professional Machine Learning (ML) Engineering Certification. Please click on the links below...
This is a simple Web application to predict diabetes based on a few parameters.
AWS ECR:
AWS Elastic Container Registry holds an image of the diabetic disease prediction AI model. This
image contains all the dependencies, trained model, and environment setups. This image acts
as the base for the lambda function.
AWS Lambda:
AWS Lambda function acts as a serverless application built on top of the above image. The
Lambda function communicates with the API gateway by accepting the input requests and
responds with disease prediction and probability.
The lambda function loads a trained model, feeds the user inputs and responds with the
predictions from the model
API Gateway:
API gateway acts as the intermediary between the user and the Lambda function. The above
gateway ensures authentication, request routing and usage plans.
AWS S3:
AWS S3 is the storage and hosting space for the front-end pages.
Please try it out Diabetes Disease Prediction
The below sections will help you prepare for the Google Cloud Platform- Professional Machine Learning (ML) Engineering Certification. Please click on the links below...
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