[100% Off] Top 10 Integrations Between Snowflake And Chatgpt Hands-On
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
Requirements
- Basic knowledge of Snowflake and Streamlit
- Basic knowledge of SQL and Python
- No prior knowledge of ChatGPT or OpenAI API required
Description
Who I Am
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World-Class Expert in Snowflake.
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Former Snowflake “Data Superhero” and SnowPro Certification Subject Matter Expert.
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SnowPro Exams in Core, Architect, Data Engineer, and Data Analyst Certifications.
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Multiple Certifications in Data Science and Machine Learning.
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Seasoned Data Architect, Data Engineer, Machine Learning Engineer…
What Integrations We Will Build or Configure
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App #1: Configure ChatGPT as a Coding Assistant for Snowflake in VSCode
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App #2: Generate Snowflake Sample Databases with ChatGPT from VSCode
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App #3: Snowflake Metadata Inspector in Natural Language
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App #4: Interactive Data Analysis with ChatGPT Bot Agent
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App #5: Instant Charts with the Advanced Data Analysis Plugin
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App #6: Generate a Usage Monitoring Dashboard for Snowflake Account
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App #7: Data Enrichment with an External Integration of ChatGPT
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App #8: ChatGPT with LlamaIndex on Personal Documents
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App #9: ChatGPT SQL Agent with LangChain
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App #10: Snowflake Query Analyzer and Optimizer
Snowflake Technologies You Will Learn More About
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DDL and SQL Queries
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Querying Data through the Snowsight web UI or a VSCode plugin
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Local Streamlit web applications connected to Snowflake
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Streamlit apps deployed in Streamlit Community Cloud
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Streamlit in Snowflake Apps
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External Functions
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External Access Integrations
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Generating Synthetic Data
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Data Enrichment
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Information Schema and Account Usage metadata
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Data Analysis
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Monitoring Dashboards
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Using Public Datasets from the Marketplace
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Query Analysis and Performance Optimization
ChatGPT Technologies You Will Learn More About
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Use cases of the most recent GPT-4 Turbo model
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Using the OpenAI Chat Completions API
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Access the OpenAI API from Python and curl
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Instant Data Analysis on Uploaded Documents with GPT-4 Plus
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Indexing Custom Content with LlamaIndex and RAG
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Automatic SQL Query Generation with LangChain
What This Course Will NOT Teach You
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In-depth knowledge of Snowflake and its ecosystem
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In-depth knowledge of ChatGPT and other OpenAI products
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APIs other than ChatGPT Chat Completion API (vision, embeddings…)
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Connecting to Azure Open AI service
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Bing Chat with Copilot (or any other Microsoft service)
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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.]
Author(s): Cristian Scutaru
