Building a scalable and safe image classification model on Amazon Sagemaker implemented with AWS Lambda Functions for supporting services and AWS Step Functions to merge them into an an event-driven application

This repository contains a serverless architecture using AWS services like SES, Lambda, API Gateway and Step Functions to automate email reminders. The app runs in the browser from an S3 bucket, allowing users to configure task reminders sent via SES.

Talk for the PyConAU 2019 Orchestrating complex (not complicated) tasks using Serverless and Python

Additional tasks and exercises to tackle after ImageProcessing workshop

This project is a part of the assessment in the Udacity's AWS Machine Learning Engineer Nanodegree Program.

The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.