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Snowflake Integrations with ChatGPT – 2024 Hands-On!

سرفصل های دوره

Design and Implement Snowflake Data Applications with ChatGPT 4


1. Introduction
  • 1. Promo Clip
  • 2. Quick Presentation of the 10 Integrations
  • 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

  • 2. App #1 Configure ChatGPT as a Coding Assistant for Snowflake in VSCode
  • 1. Introduction to Snowflake and ChatGPT
  • 2.1 GitHub repository with all demo source code for this course.html
  • 2. Configure VSCode for our GitHub Project
  • 3. Create a Free Trial Snowflake Account
  • 4. Create ChatGPT API and ChatGPT Plus Accounts
  • 5. Install Snowflake and ChatGPT VSCode Plugins
  • 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

  • 3. App #2 Generate Snowflake Sample Databases with ChatGPT from VSCode
  • 1. Introduction to Snowflake Sample Data
  • 2. Generate and Run Sample DDL Script
  • 3. Generate Fake but Realistic Data in Python
  • 4. Generate Synthetic Data in SQL
  • 5. Generate and Run Python Code for Web Data Scraping
  • 6. Generate SQL Queries for Specific Tables
  • 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

  • 4. App #3 Snowflake Metadata Inspector in Natural Language
  • 1. Introduction to Snowflake Metadata
  • 2. Create a Simple Q&A Interface with ChatGPT
  • 3. Generate and Run Metadata Queries
  • 4. Create a Streamlit Web App with Tab Control
  • 5. Create a Streamlit Web App with Chat Controls
  • 6.1 Building An LLM-Powered Chat Interface In Snowflake Using Snowsight And Streamlit.html
  • 6. Review of Snowflake Metadata

  • 5. App #4 Interactive Data Analysis with ChatGPT Bot Agent
  • 1. Introduction to Interactive Data Analysis
  • 2. Get Public Datasets from Snowflake Marketplace
  • 3. Extract Metadata for Snowflake Objects
  • 4. Custom Data Analysis using Natural Language
  • 5. Create a Generic ChatGPT Bot
  • 6. Create a Data Analysis ChatGPT Bot Inspector
  • 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

  • 6. App #5 Instant Charts with the Advanced Data Analysis Plugin
  • 1. Introduction to Generated Data Analysis
  • 2. Create Tables with the Regular ChatGPT Subscription
  • 3. Exploratory Data Analysis with the ChatGPT Plus Subscription
  • 4. Generate Charts and Graphs for Data Analysis
  • 5. Generate Cluster Analysis (as a Data Science Experiment)
  • 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

  • 7. App #6 Generate a Usage Monitoring Dashboard for Snowflake Account
  • 1. Introduction to Usage Monitoring Dashboards
  • 2. Extract Usage Queries and Charts with ChatGPT
  • 3. Dashboard as a Streamlit Web App on a Single Page
  • 4. Tab-Based Dashboard as a Streamlit Web App
  • 5. Dashboard as a Multi-Page Streamlit Web App
  • 6.1 Monitoring Snowflake with Snowsight.html
  • 6. Review of Usage Monitoring Dashboards

  • 8. App #7 Data Enrichment with an External Integration of ChatGPT
  • 1. Introduction to calling ChatGPT from within Snowflake
  • 2. Call ChatGPT through the OpenAI REST API
  • 3. Snowflake Function with External Access Integration
  • 4. Create a Simple Streamlit in Snowflake App calling ChatGPT
  • 5. Snowflake External Functions for API and Lambda (Obsolete)
  • 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

  • 9. App #8 ChatGPT with LlamaIndex on Personal Documents
  • 1. Introduction to LlamaIndex and RAG
  • 2. Collect Personal and Custom Content
  • 3. Create a Knowledge Base with LlamaIndex
  • 4. Query ChatGPT with the Indexed Custom Content
  • 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

  • 10. App #9 ChatGPT SQL Generator with LangChain
  • 1. Introduction to LangChain SQL Generation
  • 2. Create & Run a Jupyter Notebook with LangChain
  • 3. Implement a SQL Generator as a Local Streamlit Web App
  • 4. Deploy the SQL Generator in the Streamlit Community Cloud
  • 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

  • 11. App #10 Snowflake Query Analyzer and Optimizer
  • 1. Introduction to Query Analysis and Performance Optimization
  • 2. Experiment Interactively in VSCode
  • 3. Create a Query Analyzer as a Local Streamlit Web App
  • 4. Create a Query Analyzer as a Streamlit App calling a UDF
  • 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

  • 12. Conclusion
  • 1. System Architectures
  • 2. Final Thoughts
  • 3. Test Your Knowledge.html
  • 4. Congratulations, You Made It!
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    تاریخ انتشار: ۱۱ اردیبهشت ۱۴۰۳
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