Discovering Cortex Capabilities in Snowflake

Most data teams still treat AI as something external requiring new infrastructure, APIs, or vendor contracts. The result? Analysts spend hours writing queries, engineers build repetitive pipelines, and valuable insights remain locked inside tables. For organizations already using Snowflake, this separation is unnecessary and costly.

When you fail to harness the AI capabilities built directly into Snowflake, you miss out on faster decisions, leaner operations, and automation that can replace weeks of manual work.

In this interactive masterclass, you’ll follow Vinay, a data engineer at GlobalMart, as he learns from his mentor Rahul how to activate Snowflake Cortex - a suite of AI features natively integrated into Snowflake. Each interaction blends real SQL examples, practical demos, and guided knowledge checks to ensure you can apply what you learn in real-world data environments.

What You’ll Learn:

• Use AISQL functions such as SENTIMENT, SUMMARIZE, and COMPLETE to perform text analytics directly in Snowflake.
• Employ Snowflake Copilot to generate, optimize, and explain SQL queries from natural language.
• Configure Document AI to extract structured fields from invoices, receipts, and PDFs.
• Apply fine-tuning to reduce costs while maintaining model accuracy for large-scale workloads.
• Implement Cortex Search for semantic retrieval
• Use Cortex Analyst to convert business questions into executable SQL using semantic models.

By the end, you’ll know how to integrate, scale, and optimize AI-driven analytics within Snowflake, so you can automate text processing, reduce operational costs, and empower every user to query data intuitively. Test your understanding with scenario-based questions throughout the course.