How to create your first Snowflake Streamlit App📱in just 5 minutes | Data Engineer tutorial 2026
In this video, you’ll learn how to build a Streamlit app directly inside Snowflake in under 5 minutes 🚀
We walk through creating a BMI Calculator app from scratch, using Snowflake Streamlit + Cortex AI (LLM) to generate code instantly. You’ll see how to set up the app, generate Python code using AI, fix errors, and deploy a fully functional and visually appealing application.
This is perfect for beginners and data engineers who want to quickly build interactive data apps in Snowflake without writing everything manually.
🚀 What you’ll learn:
How to create a Streamlit app in Snowflake
Choosing between Compute Pool vs Warehouse
Using Cortex AI to generate Streamlit code
Editing and running Python code inside Snowflake
Debugging errors using AI assistance
Building a BMI Calculator with UI and visualization
Best practices for quick app development
⏱️ Key Chapters
00:00:00 – Introduction (Build Streamlit App in 5 Minutes)
00:00:29 – Navigating to Streamlit Apps
00:01:02 – Creating a New Streamlit App
00:01:33 – Configuring Environment (Compute Pool vs Warehouse)
00:02:34 – Default App Overview
00:03:09 – Using Cortex AI to Generate Code
00:04:41 – Editing & Running the App
00:05:11 – Debugging Errors with AI
00:05:45 – Testing the BMI Calculator
00:06:19 – Final Output & UI Demo
💡 Why this matters:
Build apps faster with AI
No need for heavy frontend frameworks
Perfect for data engineers & analysts
Seamlessly integrates with Snowflake data
🔥 Keywords:
snowflake streamlit, streamlit app snowflake, cortex ai snowflake, snowflake tutorial, data engineering, streamlit tutorial, build app with ai, snowflake cortex code, python streamlit snowflake
#agenticai #snowflaketutorial #streamlit #dataengineering