01-25-2024, 03:32 AM
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Top 10 Snowflake Integrations with ChatGPT - 2024 Hands-On!
Published 1/2024
Created by Cristian Scutaru
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 65 Lectures ( 4h 54m ) | Size: 3.2 GB
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Design and Implement Snowflake Data Applications with ChatGPT 4
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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 AmWorld-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 ConfigureApp #1: Configure ChatGPT as a Coding Assistant for Snowflake in VSCodeApp #2: Generate Snowflake Sample Databases with ChatGPT from VSCodeApp #3: Snowflake Metadata Inspector in Natural LanguageApp #4: Interactive Data Analysis with ChatGPT Bot AgentApp #5: Instant Charts with the Advanced Data Analysis PluginApp #6: Generate a Usage Monitoring Dashboard for Snowflake AccountApp #7: Data Enrichment with an External Integration of ChatGPTApp #8: ChatGPT with LlamaIndex on Personal DocumentsApp #9: ChatGPT SQL Agent with LangChainApp #10: Snowflake Query Analyzer and OptimizerSnowflake Technologies You Will Learn More AboutDDL and SQL QueriesQuerying Data through the Snowsight web UI or a VSCode pluginLocal Streamlit web applications connected to SnowflakeStreamlit apps deployed in Streamlit Community CloudStreamlit in Snowflake AppsExternal FunctionsExternal Access IntegrationsGenerating Synthetic DataData EnrichmentInformation Schema and Account Usage metadataData AnalysisMonitoring DashboardsUsing Public Datasets from the MarketplaceQuery Analysis and Performance OptimizationChatGPT Technologies You Will Learn More AboutUse cases of the most recent GPT-4 Turbo modelUsing the OpenAI Chat Completions APIAccess the OpenAI API from Python and curlInstant Data Analysis on Uploaded Documents with GPT-4 PlusIndexing Custom Content with LlamaIndex and RAGAutomatic SQL Query Generation with LangChainWhat This Course Will NOT Teach YouIn-depth knowledge of Snowflake and its ecosystemIn-depth knowledge of ChatGPT and other OpenAI productsAPIs other than ChatGPT Chat Completion API (vision, embeddings...)Connecting to Azure Open AI serviceBing 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
Homepage
Top 10 Snowflake Integrations with ChatGPT - 2024 Hands-On!
Published 1/2024
Created by Cristian Scutaru
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 65 Lectures ( 4h 54m ) | Size: 3.2 GB
[/center]
[center]
Design and Implement Snowflake Data Applications with ChatGPT 4
[/center]
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 AmWorld-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 ConfigureApp #1: Configure ChatGPT as a Coding Assistant for Snowflake in VSCodeApp #2: Generate Snowflake Sample Databases with ChatGPT from VSCodeApp #3: Snowflake Metadata Inspector in Natural LanguageApp #4: Interactive Data Analysis with ChatGPT Bot AgentApp #5: Instant Charts with the Advanced Data Analysis PluginApp #6: Generate a Usage Monitoring Dashboard for Snowflake AccountApp #7: Data Enrichment with an External Integration of ChatGPTApp #8: ChatGPT with LlamaIndex on Personal DocumentsApp #9: ChatGPT SQL Agent with LangChainApp #10: Snowflake Query Analyzer and OptimizerSnowflake Technologies You Will Learn More AboutDDL and SQL QueriesQuerying Data through the Snowsight web UI or a VSCode pluginLocal Streamlit web applications connected to SnowflakeStreamlit apps deployed in Streamlit Community CloudStreamlit in Snowflake AppsExternal FunctionsExternal Access IntegrationsGenerating Synthetic DataData EnrichmentInformation Schema and Account Usage metadataData AnalysisMonitoring DashboardsUsing Public Datasets from the MarketplaceQuery Analysis and Performance OptimizationChatGPT Technologies You Will Learn More AboutUse cases of the most recent GPT-4 Turbo modelUsing the OpenAI Chat Completions APIAccess the OpenAI API from Python and curlInstant Data Analysis on Uploaded Documents with GPT-4 PlusIndexing Custom Content with LlamaIndex and RAGAutomatic SQL Query Generation with LangChainWhat This Course Will NOT Teach YouIn-depth knowledge of Snowflake and its ecosystemIn-depth knowledge of ChatGPT and other OpenAI productsAPIs other than ChatGPT Chat Completion API (vision, embeddings...)Connecting to Azure Open AI serviceBing 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
Homepage
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