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Snowflake Integrations with ChatGPT - 2024 Hands-On!

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Cristian Scutaru

4:54:40

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  • 1. Promo Clip.mp4
    02:31
  • 2. Quick Presentation of the 10 Integrations.mp4
    08:05
  • 3.1 GitHub Repository for this Course.html
  • 3.2 My Medium Blog.html
  • 3.3 Snowflake-ChatGPT-All-Slides.pdf
  • 3. Best Ways to Benefit from this Course.mp4
    02:45
  • 1. Introduction to Snowflake and ChatGPT.mp4
    01:15
  • 2.1 GitHub repository with all demo source code for this course.html
  • 2. Configure VSCode for our GitHub Project.mp4
    04:48
  • 3. Create a Free Trial Snowflake Account.mp4
    10:27
  • 4. Create ChatGPT API and ChatGPT Plus Accounts.mp4
    03:56
  • 5. Install Snowflake and ChatGPT VSCode Plugins.mp4
    06:07
  • 6.1 ChatGPT AI Genie VSCode Plugin.html
  • 6.2 ChatGPT Chat Completions API.html
  • 6.3 ChatGPT Playground.html
  • 6.4 How I Won Singapore’s GPT-4 Prompt Engineering Competition (restricted).html
  • 6.5 Snowflake Free Trial Account.html
  • 6.6 Snowflake in a Nutshell ChatGPT.html
  • 6. Review of Snowflake and ChatGPT.mp4
    10:48
  • 1. Introduction to Snowflake Sample Data.mp4
    01:19
  • 2. Generate and Run Sample DDL Script.mp4
    01:45
  • 3. Generate Fake but Realistic Data in Python.mp4
    04:36
  • 4. Generate Synthetic Data in SQL.mp4
    03:11
  • 5. Generate and Run Python Code for Web Data Scraping.mp4
    02:57
  • 6. Generate SQL Queries for Specific Tables.mp4
    01:42
  • 7.1 ChatGPT The Key to Effortless Web Scraping (restricted).html
  • 7.2 Collaborating with ChatGPT to generate a data warehouse.html
  • 7.3 Generating Realistic Synthetic Data with ChatGPT.html
  • 7.4 How to Use ChatGPT for Web Scraping in 2024.html
  • 7.5 I Found a Loophole to (Successfully) Web Scrape Using ChatGPT. Here’s How it Works (restricted).html
  • 7. Review of Snowflake Sample Data.mp4
    03:27
  • 1. Introduction to Snowflake Metadata.mp4
    01:35
  • 2. Create a Simple Q&A Interface with ChatGPT.mp4
    11:27
  • 3. Generate and Run Metadata Queries.mp4
    04:30
  • 4. Create a Streamlit Web App with Tab Control.mp4
    06:22
  • 5. Create a Streamlit Web App with Chat Controls.mp4
    05:26
  • 6.1 Building An LLM-Powered Chat Interface In Snowflake Using Snowsight And Streamlit.html
  • 6. Review of Snowflake Metadata.mp4
    05:26
  • 1. Introduction to Interactive Data Analysis.mp4
    00:50
  • 2. Get Public Datasets from Snowflake Marketplace.mp4
    02:46
  • 3. Extract Metadata for Snowflake Objects.mp4
    05:03
  • 4. Custom Data Analysis using Natural Language.mp4
    05:23
  • 5. Create a Generic ChatGPT Bot.mp4
    03:46
  • 6. Create a Data Analysis ChatGPT Bot Inspector.mp4
    03:54
  • 7.1 Frosty Build an LLM Chatbot in Streamlit on your Snowflake Data (quickstart).html
  • 7.2 How to Talk to Your Data with ChatGPT, Snowflake, & dbt.html
  • 7. Review of Interactive Data Analysis.mp4
    03:33
  • 1. Introduction to Generated Data Analysis.mp4
    01:36
  • 2. Create Tables with the Regular ChatGPT Subscription.mp4
    02:29
  • 3. Exploratory Data Analysis with the ChatGPT Plus Subscription.mp4
    06:45
  • 4. Generate Charts and Graphs for Data Analysis.mp4
    03:31
  • 5. Generate Cluster Analysis (as a Data Science Experiment).mp4
    03:55
  • 6.1 How to use ChatGPT to make charts and tables.html
  • 6.2 The Power of ChatGPT Code Interpreter Creating Data Visualizations Without Writing a Single Line of Code.html
  • 6.3 Ways to Use ChatGPTs Data-Analysis Tool.html
  • 6. Review of Generated Data Analysis.mp4
    04:04
  • 1. Introduction to Usage Monitoring Dashboards.mp4
    01:08
  • 2. Extract Usage Queries and Charts with ChatGPT.mp4
    08:44
  • 3. Dashboard as a Streamlit Web App on a Single Page.mp4
    05:32
  • 4. Tab-Based Dashboard as a Streamlit Web App.mp4
    02:14
  • 5. Dashboard as a Multi-Page Streamlit Web App.mp4
    05:42
  • 6.1 Monitoring Snowflake with Snowsight.html
  • 6. Review of Usage Monitoring Dashboards.mp4
    04:34
  • 1. Introduction to calling ChatGPT from within Snowflake.mp4
    02:09
  • 2. Call ChatGPT through the OpenAI REST API.mp4
    04:42
  • 3. Snowflake Function with External Access Integration.mp4
    07:02
  • 4. Create a Simple Streamlit in Snowflake App calling ChatGPT.mp4
    02:10
  • 5. Snowflake External Functions for API and Lambda (Obsolete).mp4
    05:31
  • 6.1 External access integration in practice 2 — calling OpenAI APIs (restricted).html
  • 6.2 Getting Started with Generative AI in Snowflake and Streamlit (quickstart).html
  • 6.3 Quick Tutorial How to call ChatGPT API Directly From Snowflake.html
  • 6.4 Snowflake + ChatGPT Experience the Power of ChatGPT & GPT-4 in Snowflake DemoHub.Dev.html
  • 6.5 Unlocking The Power Of OpenAI In Snowflake.html
  • 6.6 Using Snowflake External Function to call OpenAI API (restricted).html
  • 6. Review of calling ChatGPT from within Snowflake.mp4
    08:21
  • 1. Introduction to LlamaIndex and RAG.mp4
    01:31
  • 2. Collect Personal and Custom Content.mp4
    05:36
  • 3. Create a Knowledge Base with LlamaIndex.mp4
    03:06
  • 4. Query ChatGPT with the Indexed Custom Content.mp4
    04:26
  • 5.1 Announcing Streamlit for Snowflake My First Video Course on Udemy!.html
  • 5.2 Build a Retrieval Augmented Generation(RAG) based LLM assistant using Streamlit, OpenAI and LlamaIndex (quickstart).html
  • 5. Review of LlamaIndex and RAG.mp4
    04:50
  • 1. Introduction to LangChain SQL Generation.mp4
    01:55
  • 2. Create & Run a Jupyter Notebook with LangChain.mp4
    07:51
  • 3. Implement a SQL Generator as a Local Streamlit Web App.mp4
    04:12
  • 4. Deploy the SQL Generator in the Streamlit Community Cloud.mp4
    06:26
  • 5.1 Build your First SQL Database Agent with LangChain.html
  • 5.2 Sample Data TPC-H.html
  • 5.3 Snowflake + LangChain Generating SQL Queries from Natural Language Questions.html
  • 5. Review of LangChain SQL Generation.mp4
    04:40
  • 1. Introduction to Query Analysis and Performance Optimization.mp4
    00:58
  • 2. Experiment Interactively in VSCode.mp4
    06:10
  • 3. Create a Query Analyzer as a Local Streamlit Web App.mp4
    06:07
  • 4. Create a Query Analyzer as a Streamlit App calling a UDF.mp4
    04:34
  • 5.1 Sample Data TPC-H.html
  • 5.2 Who here is using ChatGPT to help with SQL code.html
  • 5. Review of Query Analysis and Performance Optimization.mp4
    04:19
  • 1. System Architectures.mp4
    11:11
  • 2. Final Thoughts.mp4
    06:17
  • 3. Test Your Knowledge.html
  • 4. Congratulations, You Made It!.mp4
    00:42
  • Description


    Design and Implement Snowflake Data Applications with ChatGPT 4

    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

    Who is this for?


  • Data Engineers willing to learn how to integrate Snowflake with ChatGPT
  • Software Developers looking at Snowflake and ChatGPT integrations
  • Data Architects willing to know about all ChatGPT-to-Snowflake configurations
  • Data Scientists looking for an overview of different ChatGPT-to-Snowflake architectures
  • Technical Managers who need an overview of possible integrations of Snowflake with ChatGPT
  • What You Need to Know?


  • Basic knowledge of Snowflake and Streamlit
  • Basic knowledge of SQL and Python
  • No prior knowledge of ChatGPT or OpenAI API required
  • More details


    Description

    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! ==

    Who this course is for:

    • Data Engineers willing to learn how to integrate Snowflake with ChatGPT
    • Software Developers looking at Snowflake and ChatGPT integrations
    • Data Architects willing to know about all ChatGPT-to-Snowflake configurations
    • Data Scientists looking for an overview of different ChatGPT-to-Snowflake architectures
    • Technical Managers who need an overview of possible integrations of Snowflake with ChatGPT

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    Cristian Scutaru
    Cristian Scutaru
    Instructor's Courses
    Certified Solutions Architect in AWS/Azure/Google Cloud (20 total exams). Former Snowflake “Data Superhero” and SnowPro Certification SME. Certified in many NoSQL stores: Cassandra/Redis/Couchbase/Neo4j/TigerGraph...Decades of practical experience in software design and implementation. Former Microsoft employee. Architect of the Data Xtractor Suite - with a visual SQL editor, data visualization charts, data modeling... Former assistant professor at the "Polytechnica" University of Bucharest.I live in beautiful Vancouver/Canada.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 65
    • duration 4:54:40
    • Release Date 2024/04/23