Snowflake Cortex Code Masterclass

Name: Snowflake Cortex Code Masterclass
Rating: 4.6 (302 reviews)

AI-driven data engineering with Dynamic Tables, Semantic Views & Cortex Code — zero manual SQL, fully hands-on

Created byDE & AI Engineering Simplified

Last updated 4/2026

English

What you'll learn

Build a complete Medallion Architecture pipeline in Snowflake using only Cortex Code — no SQL written manually
Use Cortex Code to infer schema, create tables, and load CSV data into Bronze layer
Build Silver and Gold layer including Fact and Dimension tables for a star schema
Create a Semantic layer using Cortex Analyst Semantic Views to enable natural language data querying
Implement Delta processing and incremental loads using Snowflake Tasks — fully automated, no manual SQL
Write effective prompt specifications that guide Cortex Code to generate reliable, production-grade SQL

Course content

5 sections • 27 lectures • 3h 27m total length

Introduction2:03
[Optional] Who Is This Course For?2:13
Complete Course Road Map5:23
[Optional] Technical & Non-Technical Pre-Requisite2:13
Resources (Prompt/Scripts/Data Files)2:13

Create Databases & Schemas by Feeding Architecture Diagram to Cortex Code13:27
Upload CSV Files & Load All 13 Tables into Bronze Layer via Cortex Code21:51
Load Data From Bronze To Silver Layer Using Dynamic Tables9:28
Build Silver Layer Master and Transaction Tables Using Cortex Code5:16
Store, Customer & Sales Data Movement From Bronze2Silver Using Cortex Code4:19
Build Fact Tables & Star Schema in Gold Layer Using Cortex Code9:26
Build Store, Customer Dim & Sales Fact In Gole Layer Using Cortex Code6:29
Create Date Dimension and Refine Data Model Using Cortex Code3:57
Build Aggregated Fact Tables for Analytics Using Cortex Code7:57
Create Semantic Layer and Enable Talk-to-Data Using Cortex Code7:06

[Optional] Snowflake Cortex Code Usage and Cost Calculation14:47
Learn how to track Cortex Code usage, calculate token and credit cost, and estimate dollar spend using Snowflake Account Usage views and notebooks for cost monitoring and optimization.
[Optional] GitHub Integration with Snowflake Workspace Using Cortex Code18:34
Learn GitHub integration, push/pull workflows, and version control for Snowflake SQL development using Cortex Code and without writing any command (SQL Script) manually.
[Optional] Snowflake Cortex Code on GCP: Setup and Latency Challenges7:19
Learn how to enable Snowflake Cortex Code on GCP, handle model authorization issues, configure cross-region settings, and understand latency vs cost implications.
[Optional] Data Pipeline Migration To dbt Core Using Snowflake Cortex Code7:00
This chapter demonstrates how an existing end-to-end data pipeline built in Snowflake using the medallion architecture (Bronze, Silver, Gold layers) can be rapidly migrated into a DBT (dbt core) project using Snowflake Cortex Code. Instead of manually rewriting SQL transformations, the process leverages AI-driven automation to generate the complete DBT structure, including configuration files, source definitions, staging models, and final analytical models.
Cortex Code reads previously developed SQL scripts and automatically creates DBT models for each layer. The Bronze layer is defined through source configurations, the Silver layer contains staging transformations, and the Gold layer includes dimension and fact tables. The system also compiles the generated models to validate SQL correctness.
[Optional] Cost Analysis With "Snap & Ask" Feature Using Snowflake Cortex Code8:18
This chapter introduces Snowflake’s Snap & Ask feature, showing how to analyze cost anomalies using natural language. By leveraging Cortex Code and Cost Intelligence, users can quickly identify spending patterns, understand usage drivers, and even automate actions like budget alerts—without writing SQL.

Requirements

Basic familiarity with Snowflake — you should know what a database, schema, and table are
No SQL writing skills required — Cortex Code handles all SQL generation in this course
A free Snowflake trial account
No prior experience with Cortex Code, Dynamic Tables, or Medallion Architecture needed

Description

Stop writing SQL manually. Start building pipelines 10x faster with Snowflake Cortex Code.

If you are a Snowflake data engineer/developer spending most of your time writing SQL/Python scripts (DDL, DML,COPY commands, and transformation SQL and so on) — this course will fundamentally change how you work.

Snowflake Cortex Code is an AI-powered coding assistant built directly into the Snowsight web UI. No external tools. No plugins. No CLI. You describe what you want, and Cortex Code writes, executes, and validates the SQL for you — while you focus on the design and the outcome.

In this course, you will build a complete, production-grade, end-to-end data pipeline in under 2 hours — without writing a single line of SQL manually.

The Use Case We use an Apple-like global product sales scenario with 13 source tables spanning geography, product hierarchy, and sales transactions — the kind of real-world data complexity you encounter on actual projects.

What You Will Build Following the Medallion Architecture, you will:

Design databases and schemas by feeding an architecture blueprint directly to Cortex Code
Upload CSV files via Snowsight and let Cortex Code create load the data into bronze layer.
Build Silver and move the data from bronze (cleansed & curated data)
Create Gold layer Fact and Dimension tables — a full star schema with relationships.
Build a Semantic layer with Cortex Analyst Semantic Views for natural language querying
Implement Delta processing and automate end to end pipeline for newly arriving data.

Everything from prompts and specifications. Nothing written by hand.

Who Is This For? Anyone currently working with Snowflake who wants to dramatically improve their productivity. All you need is a free Snowflake trial account — there is no additional cost or infrastructure dependency.

This is not a screen navigation tutorial. This is a real pipeline, built with real data, the way you would build it on a real project — except 10x faster.

Enrol now and start building.

Who this course is for:

Snowflake developers and data engineers who want to increase their productivity using AI-assisted development
Analytics engineers and BI developers working in Snowflake who want to build pipelines faster without deep SQL expertise
Data professionals who have heard of Cortex Code and want a structured, hands-on course to learn it end to end

Snowflake Cortex Code Masterclass

What you'll learn

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Course content

Introduction5 lectures • 14min

Design Phase: Data Profiling, Medallion Architecture & Cortex Code Enablement4 lectures • 35min

Cortex Code in Action: Build End-to-End Data Pipeline Without Writing SQL10 lectures • 1hr 29min

Incremental Data Processing and Pipeline Automation with Cortex Code3 lectures • 13min

[Optional] Bonus Section5 lectures • 56min

Requirements

Description

Who this course is for: