Top 10 Snowflake Integrations with ChatGPT - 2024 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
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

More Info