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Introduction to Generative AI in Snowflake
4.8(359)3k studentsINTERMEDIATEEnglish
Korshub's take
Editor's Take
Snowflake Cortex brings built-in Large Language Model capabilities directly into the Snowflake data environment, enabling rapid deployment of AI workflows without managing external infrastructure. This course provides hands-on experience orchestrating text generation, summarization, and translation inside Snowflake notebooks.
Who It's For
Designed for intermediate data engineers, analysts, and developers wanting to build generative AI applications within Snowflake.
Key Takeaways
- Snowflake Cortex Functions: Leverage built-in LLM capabilities for text processing, sentiment analysis, and answer extraction.
- Notebook Workflows: Construct multi-step AI tasks directly inside native Snowflake notebook interfaces.
- Zero Infrastructure Overhead: Deploy production-ready generative AI tools without separate model hosting or server setup.
About this course
Learn to build AI-powered applications using Snowflake Cortex's suite of built-in LLM functions. This hands-on course teaches you to work with generative AI directly in Snowflake notebooks, covering text summarization, generation, classification, sentiment analysis, translation, and answer extraction. You'll build multi-step AI workflows to solve real business problems using production-ready models - no infrastructure setup or model deployment required.
Price
Free
This course is free to enrol.
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