This how-to demonstrated how to extract training data from Teradata and use it to train a model in Amazon SageMaker AI. The solution used a Jupyter notebook to extract data from Teradata and upload it to an Amazon S3 bucket. An Amazon SageMaker AI training job read the data from the Amazon S3 bucket and produced a model. The model was then deployed to an Amazon SageMaker AI real-time endpoint.