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Free Course

Building Generative AI Apps to Talk to Your Data

IntermediateSkill Level
Updated 06/2026
Build conversational AI apps that answer questions from your data with Cortex Search and Cortex Analyst on Snowflake.
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SnowflakeArtificial Intelligence
4 hr
27 videos
54 Exercises
2,700 XP
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Course Description

Most of your organization's knowledge is locked inside tables, PDFs, and documents that only technical users can query. What if anyone could just ask? In this course, you'll build generative AI apps on Snowflake that let people talk to their data in plain language. You'll learn when to reach for RAG, hybrid search, or text-to-SQL, then build working chatbots with Cortex Search for documents and Cortex Analyst for tables, each with a Streamlit front end. By the end, you'll turn raw data into answers the whole business can use.

What you'll learn

  • Differentiate when to use RAG, hybrid search, and text-to-SQL based on whether the source data is structured or unstructured.
  • Determine how to load, parse, and chunk documents into a Cortex Search service that powers a RAG application over unstructured data.
  • Recognize best practices for delivering a conversational app to business users with a Streamlit front end.

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Prerequisites

Generative AI Essentials with Snowflake
1

Introduction to building conversational apps with data

In this chapter, learn how to choose between RAG, hybrid search, and text-to-SQL for your data and sketch the architecture of a conversational app on Snowflake.
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2

Finding answers from unstructured data with Cortex Search

In this chapter, learn how to build a RAG app with Cortex Search by loading, parsing, and chunking documents, measuring answer quality, and shipping it with Streamlit.
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3

Answer questions from structured data with Cortex Analyst

In this final chapter, learn how to turn structured tables into a natural-language interface with Cortex Analyst, using a semantic model to generate accurate SQL and serve answers through a Streamlit app.
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Building Generative AI Apps to Talk to Your Data
Course
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