Top 10 Snowflake Integrations with ChatGPT Hands-On

Top 10 Snowflake Integrations with ChatGPT Hands-On, available at $54.99, has an average rating of 4.83, with 72 lectures, 2 quizzes, based on 9 reviews, and has 2170 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Engineers willing to learn how to integrate Snowflake with ChatGPT or Software Developers looking at Snowflake and ChatGPT integrations or Data Architects willing to know about all ChatGPT-to-Snowflake configurations or Data Scientists looking for an overview of different ChatGPT-to-Snowflake architectures or Technical Managers who need an overview of possible integrations of Snowflake with ChatGPT It is particularly useful for Data Engineers willing to learn how to integrate Snowflake with ChatGPT or Software Developers looking at Snowflake and ChatGPT integrations or Data Architects willing to know about all ChatGPT-to-Snowflake configurations or Data Scientists looking for an overview of different ChatGPT-to-Snowflake architectures or Technical Managers who need an overview of possible integrations of Snowflake with ChatGPT.

Enroll now: Top 10 Snowflake Integrations with ChatGPT Hands-On

Summary

Title: Top 10 Snowflake Integrations with ChatGPT Hands-On

Price: $54.99

Average Rating: 4.83

Number of Lectures: 72

Number of Quizzes: 2

Number of Published Lectures: 72

Number of Published Quizzes: 2

Number of Curriculum Items: 74

Number of Published Curriculum Objects: 74

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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

Target Audiences

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

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! ==

Course Curriculum

Chapter 1: Introduction

Lecture 1: Promo Clip

Lecture 2: Quick Presentation of the 10 Integrations

Lecture 3: Best Ways to Benefit from this Course

Lecture 4: SnowPro Snowflake Certifications: Added Material!

Chapter 2: App #1: Configure ChatGPT as a Coding Assistant for Snowflake in VSCode

Lecture 1: Introduction to Snowflake and ChatGPT

Lecture 2: Configure VSCode for our GitHub Project

Lecture 3: Create a Free Trial Snowflake Account

Lecture 4: Create ChatGPT API and ChatGPT Plus Accounts

Lecture 5: Install Snowflake and ChatGPT VSCode Plugins

Lecture 6: Review of Snowflake and ChatGPT

Chapter 3: App #2: Generate Snowflake Sample Databases with ChatGPT from VSCode

Lecture 1: Introduction to Snowflake Sample Data

Lecture 2: Generate and Run Sample DDL Script

Lecture 3: Generate Fake but Realistic Data in Python

Lecture 4: Generate Synthetic Data in SQL

Lecture 5: Generate and Run Python Code for Web Data Scraping

Lecture 6: Generate SQL Queries for Specific Tables

Lecture 7: Review of Snowflake Sample Data

Chapter 4: App #3: Snowflake Metadata Inspector in Natural Language

Lecture 1: Introduction to Snowflake Metadata

Lecture 2: Create a Simple Q&A Interface with ChatGPT

Lecture 3: Generate and Run Metadata Queries

Lecture 4: Create a Streamlit Web App with Tab Control

Lecture 5: Create a Streamlit Web App with Chat Controls

Lecture 6: Review of Snowflake Metadata

Chapter 5: App #4: Interactive Data Analysis with ChatGPT Bot Agent

Lecture 1: Introduction to Interactive Data Analysis

Lecture 2: Get Public Datasets from Snowflake Marketplace

Lecture 3: Extract Metadata for Snowflake Objects

Lecture 4: Custom Data Analysis using Natural Language

Lecture 5: Create a Generic ChatGPT Bot

Lecture 6: Create a Data Analysis ChatGPT Bot Inspector

Lecture 7: Review of Interactive Data Analysis

Chapter 6: App #5: Instant Charts with the Advanced Data Analysis Plugin

Lecture 1: Introduction to Generated Data Analysis

Lecture 2: Quick Preview of Generated Data Analysis

Lecture 3: Create Tables with the Regular ChatGPT Subscription

Lecture 4: Exploratory Data Analysis with the ChatGPT Plus Subscription

Lecture 5: Generate Charts and Graphs for Data Analysis

Lecture 6: Generate Cluster Analysis (as a Data Science Experiment)

Lecture 7: Review of Generated Data Analysis

Chapter 7: App #6: Generate a Usage Monitoring Dashboard for Snowflake Account

Lecture 1: Introduction to Usage Monitoring Dashboards

Lecture 2: Extract Usage Queries and Charts with ChatGPT

Lecture 3: Dashboard as a Streamlit Web App on a Single Page

Lecture 4: Tab-Based Dashboard as a Streamlit Web App

Lecture 5: Dashboard as a Multi-Page Streamlit Web App

Lecture 6: Review of Usage Monitoring Dashboards

Chapter 8: App #7: Data Enrichment with an External Integration of ChatGPT

Lecture 1: Introduction to calling ChatGPT from within Snowflake

Lecture 2: Call ChatGPT through the OpenAI REST API

Lecture 3: Snowflake Function with External Access Integration

Lecture 4: Create a Simple Streamlit in Snowflake App calling ChatGPT

Lecture 5: Snowflake External Functions for API and Lambda (Obsolete)

Lecture 6: Review of calling ChatGPT from within Snowflake

Chapter 9: App #8: ChatGPT with LlamaIndex on Personal Documents

Lecture 1: Introduction to LlamaIndex and RAG

Lecture 2: Collect Personal and Custom Content

Lecture 3: Create a Knowledge Base with LlamaIndex

Lecture 4: Query ChatGPT with the Indexed Custom Content

Lecture 5: Review of LlamaIndex and RAG

Chapter 10: App #9: ChatGPT SQL Generator with LangChain

Lecture 1: Introduction to LangChain SQL Generation

Lecture 2: Create & Run a Jupyter Notebook with LangChain

Lecture 3: Implement a SQL Generator as a Local Streamlit Web App

Lecture 4: Deploy the SQL Generator in the Streamlit Community Cloud

Lecture 5: Review of LangChain SQL Generation

Chapter 11: App #10: Snowflake Query Analyzer and Optimizer

Lecture 1: Introduction to Query Analysis and Performance Optimization

Lecture 2: Experiment Interactively in VSCode

Lecture 3: Create a Query Analyzer as a Local Streamlit Web App

Lecture 4: Create a Query Analyzer as a Streamlit App calling a UDF

Lecture 5: Review of Query Analysis and Performance Optimization

Chapter 12: Conclusions

Lecture 1: System Architectures

Lecture 2: Final Thoughts

Chapter 13: The SnowPro Advanced Data Analyst Certification

Lecture 1: About this Added Material

Lecture 2: General Info about all SnowPro Snowflake Certifications

Lecture 3: Overview of the Advanced Data Analyst Certification

Lecture 4: Sample Questions for the Advanced Data Analyst Exam

Chapter 14: Wrapping Up

Lecture 1: Congratulations, You Made It!

Lecture 2: Bonus Lecture

Instructors

Cristian Scutaru
Snowflake Guru, AWS/Azure/GCP Solutions Architect

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3 stars: 1 votes
4 stars: 0 votes
5 stars: 8 votes

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