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Building Generative AI Apps to Talk to Your Data
Coursera MOOC / Non-credit 0

Building Generative AI Apps to Talk to Your Data

About this course

In this course, you’ll learn how to build conversational AI applications that let users interact with their data, whether structured in tables or unstructured in documents, using natural language. Designed as the next step after our Intro to GenAI course, this course focuses on building practical applications with Snowflake Cortex, including Cortex Search for unstructured data and Cortex Analyst for structured data. You'll gain the skills to connect these applications to real data sources, build robust backends, and deliver user-friendly interfaces for GenAI apps using Streamlit. By the end, you’ll know how to design, build, and deploy end-to-end GenAI apps that democratize access to the insights previously locked away in data. This course is built for developers, data scientists, and ML engineers looking to bring natural language interfaces into their organizations.

B

75/100

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What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • build conversational AI applications
  • work with structured and unstructured data
  • connect applications to real data sources
  • build backends and user interfaces with Streamlit

Course objectives

  • design end-to-end Generative AI apps
  • democratize access to data insights
  • develop practical applications using Snowflake Cortex
Artificial Intelligence #natural language processing #structured data #streamlit #unstructured data #snowflake #data interaction #conversational ai #user-friendly interfaces #cortex search #cortex analyst
$49.00

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