本课程专为Snowflake数据工程师设计，教授使用Cortex Code CLI构建企业级AI数据流水线。通过Apple销售分析项目，学习AI智能体驱动的现代数据架构设计，涵盖Dynamic Tables、CI/CD、dbt等关键技术。
原始标题：Snowflake Cortex Code CLI Masterclass: Build with AI
这是一门专注于 Snowflake 现代数据工程与 AI 辅助流开发 的企业级实战进阶课程。它打破了传统浏览器端或纯手动编写 SQL 的低效模式，全面拥抱 AI 智能体驱动开发（Agentic Data Engineering）。
课程以一个真实的 Apple 销售分析项目（Apple Sales Analytics） 为核心驱动，带你从零开始在本地开发环境（VS Code、Git、Snowflake CLI）中，利用 Snowflake 官方发布的 Cortex Code CLI（基于 Claude Code 架构的终端 AI 编码智能体），协同完成跨 13 张核心源表的高级现代数据架构设计。
Published 7/2026
Created by DE & AI Engineering Simplified
MP4 | Video: h264, 3840×2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 41 Lectures ( 8h 18m ) | Size: 7.5 GB
Build enterprise data pipelines using Cortex Code CLI, Dynamic Tables, Semantic Views, CI/CD, dbt & AI workflows
What you’ll learn
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Requirements
❗ to be filled
Description
If you’re aSnowflake Data Engineer orData Developer, one thing is becoming increasingly clear.
The way we builddata platforms isCHANGING.
Writing hundreds of lines ofrepetitive SQL, manually creating database objects, debugging transformation logic and spending days building pipelines is quickly giving way to AI-assisted development.
The engineers who learn this new way of working today will naturally have an advantage over those who continue doing everything manually.
That’s exactly what this course is designed to help you achieve.
Unlike browser-based demonstrations, this course teaches you how to build enterprise-grade Snowflake data engineer gprojects usingSnowflake Cortex Code CLI the command-line AI coding assistant designed for real development workflows.
Working from your local development environment with VS Code, Git and Snowflake CLI, you’ll learn how to collaborate with AI to build, validate, deploy and maintain production-ready Snowflake solutions.
This is not a prompt engineering course.
This is not a feature walkthrough.
This is a complete hands-on implementation guide built around a realistic Apple Sales Analytics project.
Using 13 interconnected source tables, you’ll build a complete Medallion Architecture from scratch.
Along the way you’ll learn how to
✨ Configure Snowflake Cortex Code CLI
✨ Profile enterprise datasets and identify data quality issues
✨ Build Bronze, Silver and Gold layers using Dynamic Tables
✨ Create Dimension and Fact tables
✨ Protect sensitive data using Masking Policies
✨ Build Semantic Views for natural language analytics
✨ Automate Delta Processing and SCD Type 2 history tracking
✨ Deploy database changes using GitHub Actions and Schema Change
✨ Migrate the SQL (Dynamic Tables + Task + Copy Commands) based data project into dbt projects
✨ Use Snowflake Intelligence to combine structured and unstructured data for AI-powered business insights (Talk to your data for insight)
✨ Monitor Cortex Code credit consumption and build cost-aware AI workflows
More importantly, you’ll learn how to think differently.
Instead of spending most of your time writing SQL, you’ll learn how to write better specifications, validate AI-generated code and focus on solving business problems.
Throughout the course, you’ll work with a complete enterprise project that includes architecture diagrams, datasets, prompt libraries, SQL scripts, Git repositories and interview questions so you can continue practicing long after you’ve finished the videos.
This course assumes you already have some basic knowledge of Snowflake and SQL.
If you’re looking for a real-world, hands-on guide to AI-assisted Snowflake development—not just another feature overview—this course is for you.
Enroll today and start building the way modern Snowflake teams are beginning to build.
Who this course is for
⭐ to be filled
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