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Course

Accelerating Your Data Work with Snowflake CoCo Desktop

Basic2 hr

Make Snowflake's AI coding agent follow your team's standards with AGENTS.md, custom Skills, Plugins, and CI/CD reviews.

R2 hr4 videos28 Exercises1,400 XP1Statement of accomplishment

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Course Description

Use Snowflake CoCo Desktop, Snowflake's AI coding agent, to build a real dbt data engineering project the right way. You'll set up CoCo Desktop with a Snowflake trial account and give the agent project context with an AGENTS.md file. Then you'll encode your team's conventions in a custom Skill, package it with a production safety hook and a dbt review subagent into a Plugin, publish that Plugin to the Snowflake Plugins Catalog, and run the same subagent automatically on every pull request with GitHub Actions.

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What you'll learn

  • Differentiate Snowflake CoCo from generic AI coding agents, and explain why CoCo Desktop suits local data engineering work connected to Snowflake.
  • Determine how an AGENTS.md file gives CoCo project context and brings an existing dbt project in line with team conventions.
  • Define a custom Skill with SKILL.md frontmatter, workflows, stopping points, and guardrails that encodes your team's dbt standards.
  • Recognize how Plugins bundle Skills, hooks, subagents, and MCP servers into one versioned unit, and how to share them through the Plugins Catalog.
  • Assess how a CoCo subagent running in GitHub Actions reviews pull requests headlessly while behaving exactly as it does on your desktop.

Prerequisites

There are no prerequisites for this course

Curriculum

Course outline

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Accelerating Your Data Work with Snowflake CoCo Desktop

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