Live Demo

Zero to Production with Cortex Code: Data & AI Service Accelerator

11MAR

Register Now

WHY YOU SHOULD ATTEND THIS WEBINAR

In the race to productionize AI, generic LLM assistants often fail because they lack "Data Context"—they don't understand your specific schemas, governance policies, or Snowflake-native syntax. This session will show you how Cortex Code bridges this gap. For partners, Cortex Code is not just a productivity tool—it is a Service Accelerator. By attending, you will learn how to reduce the manual effort of building complex data pipelines and AI agents drastically. We will move beyond basic SQL generation and focus on the Cortex Code CLI as a professional development tool that integrates with Git and local IDEs. You will learn how to use Cortex Code Skills to create deployments that are governed, accurate, and ready for production on Day 1.
 

ABOUT THE WEBINAR

This session is a technical deep dive designed for Snowflake Partners’ technical resources. We will explore the mechanics of the Cortex Code in Snowsight and CLI, including integration with Cursor and VS Code. We will cover the "Skill" framework—a partner-critical feature that allows you to bake your firm’s best practices directly into the AI agent’s reasoning engine.
 

WHO SHOULD ATTEND

  • Solutions Architects: To design architectures that incorporate Cortex Code in projects.
  • Lead Data Engineers: To master the Cortex code CLI for automating migrations and data pipelines. End-to-End projects.
  • AI/ML Practice Leads: To learn how to build and evaluate Cortex Agents using the new Evaluation Sets.
  • Pre-Sales Engineers: To learn how to conduct high-impact "Vibe Coding" demos using Cortex Code.

Empower your technical teams with the skills to deliver governed, production-ready AI agents on Day 1. Join us for this technical deep dive—register today and turn Cortex Code into your firm’s ultimate service accelerator.

AGENDA
Introduction to Cortex Code
  • What is Cortex Code? (AI-driven autonomous agent framework)
  • Supported workflows: Data engineering, analytics, ML, and agent-building
  • The dual-interface approach: Snowsight vs. Local CLI
Cortex Code in Snowsight
  • Context-Aware Authoring: Generating and optimizing code in SQL/Python Notebooks based on the currently open file
  • Change Review: Utilizing the visual “diff view” to review AI-suggested changes
  • Account Administration: Querying credit consumption, performance, governance, and user permissions via natural language
Cortex Code CLI: Core Capabilities
  • Local-to-Cloud Bridge: Connecting local IDEs (VS Code/Cursor) to Snowflake
  • Local File Access & Orchestration: Reading/writing local repos (dbt, Streamlit), running bash commands, and executing git operations
  • Developer Experience
Q&A and Wrap-Up
  • Open floor for partner technical questions
  • How to get started with the Preview/GA features

SPEAKERS

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Bharath SureshSenior Partner Solution Engineer, Snowflake
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Harish ChintakuntaSenior Partner Solution Engineer, Snowflake