AWS Expands Machine Learning Tools With No-Code SageMaker Canvas

Amazon introduces SageMaker Canvas, a new no-code interface for its ML platform that allows users to train models without writing code. The tool simplifies data importing, model building, and prediction generation for non-technical users.

28 Nov 2021 • 1 min read

Amazon unveils SageMaker Canvas at AWS re:Invent 2021, bringing a no-code option to its existing SageMaker machine learning platform. This new service provides a wizard-style user interface that guides users through the process of uploading data, training machine learning models, and performing predictions without requiring any programming knowledge.

The tool allows users to easily import datasets from raw CSV files or directly from popular data warehouses like Amazon Redshift and Snowflake. After uploading the data, users simply select the target column to act as a label for forecasting and predictions, and SageMaker Canvas automatically handles the model building process based on the chosen dataset.

Once the training process finishes and the model is ready, the platform enables users to generate predictions on new data points effortlessly. For advanced deployment and management needs, users have the ability to export their newly trained models directly into SageMaker Studio.

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