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Introduction to Generative AI in Snowflake

IntermediateSkill Level
4.8+
314 reviews
Updated 03/2026
Learn to build AI applications using Snowflake Cortex's built-in LLM functions for text analysis, generation, and multi-step workflows.
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SnowflakeArtificial Intelligence2 hr7 videos20 Exercises1,650 XP3,085Statement of Accomplishment

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Course Description

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.

Prerequisites

Introduction to SnowflakeIntroduction to LLMs in Python
1

Getting Started with Snowflake Cortex

Learn to use Snowflake Cortex in notebooks with Python and SQL. You'll summarize hotel reviews, generate responses, classify feedback by topic, and analyze sentiment.
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2

Applying Snowflake Cortex to Business Tasks

Work with advanced Cortex functions to translate reviews, extract answers from text, and chain multiple functions together. You'll build a complete workflow that processes multilingual feedback from start to finish.
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Introduction to Generative AI in Snowflake
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Don’t just take our word for it

*4.8
from 314 reviews
85%
14%
1%
0%
0%
  • Prudencio
    yesterday

    Good course

  • Chun Yoong
    2 days ago

  • Ruoxi
    7 days ago

  • Xi
    last week

  • Nick
    2 weeks ago

    Easy to follow content

  • Charlie
    2 weeks ago

"Good course"

Prudencio

Ruoxi

Xi

FAQs

Who will benefit from this course?

Data scientists, machine learning engineers, AI engineers, and anyone working with Snowflake who wants to integrate generative AI capabilities into their data workflows and automate text-based business processes.

What skills do I need to have to join this course?

You should be comfortable writing Python code, familiar with Snowflake's interface and basic navigation, and understand what LLMs are and their practical applications. Basic knowledge of SQL queries is also helpful.

What practical problems can I solve after completing this course?

Using Snowflake's native capabilities, you'll be able to automate customer feedback analysis, create multilingual content workflows, build document processing systems, and develop AI-powered chatbots.

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