AWS AI & ML Advanced Scholarship

AWS Machine Learning Fundamentals

Predict Bike Sharing Demand with AutoGloun

Model development workflow,

Model training, testing, validation, EDA, AutoGloun framework, SageMaker studio

Developing hand written digits classifier with PyTorch

Deep learning essentials, Feed forward/backward, perceptrons (multiplayer), gradient descent, logistic regression, ML fine tuning parameters, Pytorch

Landmark classification and tagging for social media

CNN fundamentals, transfer learning, auto encoders, object detection, object segmentation

Build a ML workflow for scones unlimited on AWS Sagemaker

SageMaker studio, lambda and step function workflow, cloud gateway, AWS