Use data engineering frameworks within the Snowflake Data Cloud to make your data ready for consumption, transform & deliver your data, and build & maintain pipelines.

Learn how to build continuous, declarative pipelines using only standard SQL with Snowflake Dynamic Tables. Build a multi-stage workflow, from raw data to an analytics-ready fact table, and utilize Snowflake to automatically handle dependency mapping, scheduling, and data refreshes.

Experience Snowflake’s AI coding agent in a realistic, end-to-end workflow. Follow a single AP invoice use case from raw source data through a governed Silver pipeline, a custom reusable skill, and an optional Cortex data agent, giving you a complete picture of how Cortex Code accelerates day-to-day data engineering work.

This hands-on lab guides you through transforming raw data into actionable insights using Snowflake Cortex AI for sentiment analysis and classification. You will get hands-on experience with Cortex AISQL and Dynamic Tables to automate AI enrichment and construct a reliable semantic layer. Learn the architecture required to create a Marketing & Sales Intelligence Agent that leverages both structured data and enriched unstructured feedback while maintaining enterprise security standards.