ML-Workflow

Image classification model that can tell bicycles apart from motorcycles, using AWS sevices. Final Project of Udacity AWS ML Fundamentals.

1. Data Staging and ETL

• CIFAR dataset
• Extracted the data from the hosting service
• Transformed it into a usable shape and format
• Loaded it into S3

2. Model training and deployment

• Trained using AWS Image classification algorithm
• Deployed to an endpoint and configured Model Monitor to track the deployment

3. Lambda Functions

• Function 1: Serialize image data
• Function 2: Image classification
• Function 3: Filtering out low-confidence inferences

4. Step Function

• AWS Step Functions to compose the model and services into an event-driven application
• Chained the above three lambda functions

5. Testing and Evaluation

• Captured data from SageMaker Model Monitor used to create a visualization to monitor the model