Build AI Agents with Snowflake Cortex Knowledge Extensions
Learn how to create context-rich AI systems using Snowflake Intelligence and Cortex Knowledge Extensions in this hands-on lab.
Date: October 01, 2025 | Time: 10:00 AM PT
Overview
Developers and data engineers often face significant challenges when sourcing high-quality data for AI agents, RAG chatbots, and other agentic systems. Issues like gated datasets, unreliable scraping scripts, and time-consuming data cleaning can hinder progress. This hands-on lab introduces a streamlined approach using Snowflake Intelligence and Cortex Knowledge Extensions (CKEs) to access pre-processed, licensed data from trusted sources like the Snowflake Marketplace.
Key Takeaways
- Create and configure AI agents with custom capabilities using Snowflake Intelligence.
- Leverage publisher-quality data instead of unreliable scraping methods.
- Build agents that reason and act over trusted datasets with compliance and security in place.
Gilberto Hernandez, Lead Developer Advocate at Snowflake, will guide participants through the lab.
Who Should Attend?
This lab is ideal for:
- Developers
- Data Engineers
- AI Engineers
Participants will learn how to reduce data engineering overhead while building powerful, context-rich AI systems. The session emphasizes practical, hands-on experience with Snowflake's tools.
Registration
Interested attendees can register for the event to gain insights into building smarter AI agents with minimal data hassle.
For more details, visit Snowflake's website.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.