This article describes AWS's partnership with the University of San Francisco for a 2023 datathon focused on air quality and sustainability, using Amazon SageMaker Studio Lab.

• High school and undergraduate students competed on data science projects using free SageMaker Studio Lab platform
• Participants received tutorials on ML pipelines, exploratory analysis, feature engineering, and model evaluation
• Students built binary classification models predicting air quality using weather data from NOAA and OpenAQ
• Winning teams used AutoGluon, LightGBM, Random Forest, and gradient boosting models
• SageMaker Studio Lab provides free JupyterLab environment with CPU/GPU compute and 15GB storage
• Event aimed to develop next-generation talent in machine learning and data science

AWS and USF successfully introduced students to practical machine learning through a hands-on datathon, demonstrating SageMaker Studio Lab's accessibility for beginners.