Talk to Your Data: Natural Language Analytics with Snowflake Cortex
Snowflake Cortex is transforming the way data engineers and developers build AI-powered applications. This course, Getting Started with Snowflake Cortex, is designed to give you a solid, hands-on foundation in Snowflake’s built-in AI capabilities — without needing any external tools, vector databases, or complex infrastructure.
What you’ll learn
- Build a Cortex Search Service on Snowflake to enable fast, natural language search over structured data without any external tools or embeddings..
- Create Semantic Views and use Cortex Analyst to answer business questions in plain English and generate SQL automatically from natural language..
- Set up a Snowflake MCP Server to expose Cortex Search and Semantic Views as AI-ready tools accessible to any LLM client including Claude..
- Design a Medallion Architecture in Snowflake with Bronze, Silver, and Gold layers to organise and prepare data for AI-powered applications..
Course Content
- Introduction –> 3 lectures • 3min.
- Getting Started –> 2 lectures • 5min.
- Medallion architecture –> 4 lectures • 32min.
- Views and Semantic Views –> 4 lectures • 20min.
- Notebooks in Snowflake –> 6 lectures • 43min.
- Streamlit in Snowflake –> 6 lectures • 31min.
- Model Context Protocol in Snowflake –> 5 lectures • 18min.
- RAG with Snowflak Cortex –> 2 lectures • 12min.
- AI Agents –> 6 lectures • 36min.
- Thank You –> 1 lecture • 1min.
Requirements
Snowflake Cortex is transforming the way data engineers and developers build AI-powered applications. This course, Getting Started with Snowflake Cortex, is designed to give you a solid, hands-on foundation in Snowflake’s built-in AI capabilities — without needing any external tools, vector databases, or complex infrastructure.
We begin with the Medallion Architecture, walking you through how to structure your Snowflake project using Bronze, Silver, and Gold layers — so your data is clean, organised, and ready for AI from day one.
From there, you will build a Cortex Search Service that enables fast, semantic search over your data using natural language. You will then create Semantic Views to define business-friendly metrics and dimensions, and use Cortex Analyst to ask questions about your data in plain English and get SQL-powered answers instantly.
Next, you will set up a Snowflake MCP Server — one of the most exciting new features in the platform — exposing your Cortex tools directly to any LLM client, including Claude. Finally, you will explore how to build Agents that reason over your data and orchestrate multiple Cortex tools to answer complex business questions autonomously.
Whether you are a data engineer, backend developer, or an analyst stepping into AI, this course gives you everything you need to start building intelligent data applications on Snowflake today.