После прохождения этих курсов я уверенно создаю профессиональные визуализации и дашборды.
Shoebur RahmanСпециалист по закупкам, Giz Bangladesh
Описание курса
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.
Предварительные требования
Программа
План курса
1
CoCo Desktop and Agent Skills
Learn what Snowflake CoCo is, how it differs from generic coding agents, and why CoCo Desktop suits local development. Set up your lab environment, give CoCo project context with AGENTS.md, and create a custom Skill that encodes your team's dbt conventions.
- Course Introduction50 XP
- Introduction to Snowflake CoCo50 XP
- Setting Up Your Lab Environment50 XP
- Create Your AGENTS.md50 XP
- CoCo and AGENTS.md review - Question 150 XP
- CoCo and AGENTS.md review - Question 250 XP
- CoCo and AGENTS.md review - Question 350 XP
- CoCo and AGENTS.md review - Question 450 XP
- Agent Skills50 XP
- Create a Custom Skill50 XP
- Agent Skills review - Question 150 XP
- Agent Skills review - Question 250 XP
- Agent Skills review - Question 350 XP
- Agent Skills review - Question 450 XP
2
Plugins and CoCo for DevOps
In this final chapter, you'll learn how to bundle Skills, hooks, and subagents into a versioned Plugin and publish it to the Plugins Catalog. Then you'll bring the same dbt review subagent into CI/CD so it reviews every pull request automatically.
R
Accelerating Your Data Work with Snowflake CoCo Desktop
Курс
завершён
