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Introduction to Co-pilot in Snowflake

2 Scenarios
1 Hour 30 Minutes
Beginner
item card poster cover image
1 credit
Industry
general
Skills
generative-ai
Tools
snowflake
gen-ai

Learning Objectives

Understand Snowflake Copilot as an LLM-powered assistant that generates SQL from natural language prompts.
Explore Snowflake Copilot Inline for in-code query assistance with CMD+I keyboard shortcut.
Configure access control using COPILOT_USER and CORTEX_USER database roles with GRANT/REVOKE commands.
Master the tiered model selection strategy with Claude Sonnet 3.5 and Mistral Large 2 fallback.

Overview

Writing SQL queries can be time-consuming and requires deep technical expertise. Without an AI-powered assistant, data analysts spend hours crafting queries, debugging syntax errors, and explaining data structures. Business users wait days for simple reports, creating bottlenecks in decision-making.

Traditional approaches force organizations to choose between giving non-technical users database access (risking errors) or maintaining expensive data teams to handle every query request. Missing natural language interfaces, intelligent code suggestions, and automated query generation slow down data-driven organizations.

Through an interactive learning experience featuring Sam, a Junior Data Analyst, and Alex, a Senior AI Architect, you'll discover how Snowflake Copilot transforms data analysis. Each scenario includes hands-on examples, SQL code snippets, and knowledge checks to reinforce learning.

Prerequisites

  • Basic understanding of SQL queries and database concepts
  • Familiarity with Snowflake's structure including databases, schemas, and tables
  • Knowledge of role-based access control (RBAC) concepts
  • Understanding of Information_Schema and Account_Usage