LinkedIn – Building Generative AI Apps to Talk to Your Data 2025-5

Description

Building Generative AI Apps to Talk to Your Data course. This course teaches participants how to build conversational applications to interact with enterprise data using generative AI and the Cortex Snowflake platform. This course explores the power of generative AI to transform the way people interact with enterprise data by building conversational applications. Participants will discover how to use retrieval-enhanced generative for unstructured data and table-assisted generative for structured data to create intelligent, dynamic interfaces. During this course, participants will learn how to leverage the Cortex Snowflake platform to build applications that answer user questions in natural language and go beyond the boundaries of traditional data analytics. This course provides hands-on experience using built-in Snowflake tools to optimize data interactions and uncover hidden value within data.

What you will learn

• An introduction to conversational data-driven applications:
• Familiarity with getting answers from data, including using RAG and text-to-SQL.
• Querying unstructured data using RAG and Hybrid Search.
• Query structured data using text-to-SQL.
• How to set up and prepare the development environment.
• Finding answers from unstructured data with Cortex Search:
• Unlock unstructured data with RAG.
• Complete introduction to Cortex Search and how it works.
• Loading unstructured data into Snowflake Stage.
• Parsing and chunking text.
• Creating the Cortex Search service.
• Building a RAG using Cortex Search.
• How to measure success and reasons to trust the LLM (Large Language Model) as a judge.
• Automatic processing of new documents using Tasks and Streams.
• Building the user interface (Front End).
• Answer questions from structured data with Cortex Analyst:
• Understand and work with the Semantic Model to improve SQL production.
• Using Cortex Analyst and understanding how it works.
• Moving from text-to-SQL to TAG (table-based generation).
• Expanding the scope of the semantic model.
• Using Cortex Search to enhance Cortex Analyst.
• Building the Streamlit app.

This course is suitable for people who:

• Data Scientists.
• Artificial Intelligence Engineers (AI Engineers).
• Business Analysts.
• Anyone looking for hands-on experience with Snowflake’s built-in tools to optimize data interactions and discover data value.

Course Description: Building Generative AI Apps to Talk to Your Data

• Publisher: LinkedIn
• Instructor: Snowflake, Inc.
• Education level: Intermediate
• Training duration: 2 hours and 36 minutes

Course topics

Course images

Sample course video

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