Udemy

Top 10 Integrations between Snowflake and ChatGPT Hands-On

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  • 2,919 Students
  • Updated 7/2025
4.6
(13 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 18 Minute(s)
Language
English
Taught by
Cristian Scutaru
Rating
4.6
(13 Ratings)
2 views

Course Overview

Top 10 Integrations between Snowflake and ChatGPT Hands-On

Design and Implement Snowflake Data Applications with ChatGPT 4

Who I Am

  • World-Class Expert in Snowflake.

  • Former Snowflake "Data Superhero" and SnowPro Certification Subject Matter Expert.

  • SnowPro Exams in Core, Architect, Data Engineer, and Data Analyst Certifications.

  • Multiple Certifications in Data Science and Machine Learning.

  • Seasoned Data Architect, Data Engineer, Machine Learning Engineer...

What Integrations We Will Build or Configure

  • App #1: Configure ChatGPT as a Coding Assistant for Snowflake in VSCode

  • App #2: Generate Snowflake Sample Databases with ChatGPT from VSCode

  • App #3: Snowflake Metadata Inspector in Natural Language

  • App #4: Interactive Data Analysis with ChatGPT Bot Agent

  • App #5: Instant Charts with the Advanced Data Analysis Plugin

  • App #6: Generate a Usage Monitoring Dashboard for Snowflake Account

  • App #7: Data Enrichment with an External Integration of ChatGPT

  • App #8: ChatGPT with LlamaIndex on Personal Documents

  • App #9: ChatGPT SQL Agent with LangChain

  • App #10: Snowflake Query Analyzer and Optimizer

Snowflake Technologies You Will Learn More About

  • DDL and SQL Queries

  • Querying Data through the Snowsight web UI or a VSCode plugin

  • Local Streamlit web applications connected to Snowflake

  • Streamlit apps deployed in Streamlit Community Cloud

  • Streamlit in Snowflake Apps

  • External Functions

  • External Access Integrations

  • Generating Synthetic Data

  • Data Enrichment

  • Information Schema and Account Usage metadata

  • Data Analysis

  • Monitoring Dashboards

  • Using Public Datasets from the Marketplace

  • Query Analysis and Performance Optimization

ChatGPT Technologies You Will Learn More About

  • Use cases of the most recent GPT-4 Turbo model

  • Using the OpenAI Chat Completions API

  • Access the OpenAI API from Python and curl

  • Instant Data Analysis on Uploaded Documents with GPT-4 Plus

  • Indexing Custom Content with LlamaIndex and RAG

  • Automatic SQL Query Generation with LangChain

What This Course Will NOT Teach You

  • In-depth knowledge of Snowflake and its ecosystem

  • In-depth knowledge of ChatGPT and other OpenAI products

  • APIs other than ChatGPT Chat Completion API (vision, embeddings...)

  • Connecting to Azure Open AI service

  • Bing Chat with Copilot (or any other Microsoft service)

  • Data Science and Machine Learning with Snowflake or ChatGPT


== Enroll today, you'll not regret it! ==

[Disclaimer: We are not affiliated with or endorsed by Snowflake, Inc.]

Course Content

  • 10 section(s)
  • 72 lecture(s)
  • Section 1 Introduction
  • Section 2 App #1: Configure ChatGPT as a Coding Assistant for Snowflake in VSCode
  • Section 3 App #2: Generate Snowflake Sample Databases with ChatGPT from VSCode
  • Section 4 App #3: Snowflake Metadata Inspector in Natural Language
  • Section 5 App #4: Interactive Data Analysis with ChatGPT Bot Agent
  • Section 6 App #5: Instant Charts with the Advanced Data Analysis Plugin
  • Section 7 App #6: Generate a Usage Monitoring Dashboard for Snowflake Account
  • Section 8 App #7: Data Enrichment with an External Integration of ChatGPT
  • Section 9 App #8: ChatGPT with LlamaIndex on Personal Documents
  • Section 10 App #9: ChatGPT SQL Generator with LangChain

What You’ll Learn

  • Programmatically use the latest GPT-4 Turbo LLM from Snowflake apps
  • Access ChatGPT from all sorts of Snowflake data applications
  • Access the OpenAI Chat Completion API through Python and REST calls
  • Use external functions and external access integrations to call ChatGPT
  • Configure Visual Studio Code with plugins for Snowflake and ChatGPT
  • Create local Streamlit web apps and Streamlit in Snowflake Apps with ChatGPT

Reviews

  • A
    Ayoade Adegbite
    5.0

    Good course. Show practical use case of ChatGPT

  • M
    Mohammadreza Ahmadi
    2.0

    The course is more about playing with ChatGPT and other simple tools/techs rather than focusing on Snowflake. Roughly an hour is useful.

  • M
    Mkesy
    5.0

    great course :-)

  • J
    John Ryan
    5.0

    Really interesting course. Provides step by step instructions on how to build a Streamlit interface to Chat GPT. One example which really stood out for me, was the automatic generation of DDL scripts, and then automatically generated test data to populate several thousand rows. Really impressive stuff.

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