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AI can only be as good as the data that feeds it. Join Snowflake's Jeremiah Hansen and Vino Duraisamy in this session to get hands-on experience building a scalable, production-grade data pipeline in Python that powers your AI use-cases. You will learn to ingest and transform both structured and unstructured data using all the familiar Snowpark and Pandas DataFrame API, and automate the entire workflow with native Snowflake Tasks. A truly production-grade pipeline requires more than just code. We'll cover how to integrate your pipeline with Git from your favorite IDE or Snowflake Notebooks to establish a full CICD workflow, including implementing testing and monitoring to ensure your data is always reliable. By the end, you'll have a blueprint for an automated, enterprise-grade pipeline designed to operationalize data for advanced analytics and AIL/LM applications. Follow along here: https://www.snowflake.com/en/develope... Subscribe to this channel for more great content! 👉 http://www.snowflake.com/YTsubscribe/ Click here to start your 30-day free Snowflake trial, which includes $400 worth of free usage: 👉 https://snowflake.com/youtube-dev-trial Explore sample code, download tools, and connect with peers: 👉 https://developers.snowflake.com/ #Snowflake #Python #DataCloud #DataEngineering #pythontutorial #pandas #howto #python