Building AI Agents with Snowflake
2h 17mAdvanced2026-01-28
Authors

Snowflake, Inc
Course details
Build intelligent, autonomous systems that eliminate manual data wrangling and disconnected analysis. Explore the shift from traditional assistants to AI agents that plan and execute tasks independently. Through real enterprise examples, including B2B sales intelligence, customer service automation, contract analysis, and financial reporting, discover how these systems operate in production. This course introduces Snowflake Cortex and shows how to use agentic AI tools—like Cortex Agents, Analyst, and Search—to connect structured metrics with unstructured insights and deliver end‑to‑end intelligence. Designed for AI engineers, application developers, and data engineers, the course helps you move beyond basic chatbots and create practical, goal‑directed agents that analyze data, optimize performance, and improve operational efficiency across industries.
Skills covered
SnowflakeCloud StorageTelecommunicationsAI Agents and Agentic SystemsBuilding with AIFull-Stack Web DevelopmentDatabase DevelopmentDatabase ManagementCloud ServicesWeb DevelopmentNetwork and System AdministrationCloud ComputingSoftware DevelopmentOne-Off
Concepts
Introduction
- Welcome to building agentic AI applications with Snowflake Cortex
Foundations of Agentic AI with Snowflake Cortex
- Understanding AI agents vs. AI assistants
- How agents work - Planning and tool calling
- How agents work - Memory and RAG integration
- Enterprise use case - B2B sales intelligence assistant
- Enterprise use case - Customer service agent for insurance
- Agent demonstration
- Module 1 - Summary and what's next
Building Your First Cortex Agent
- From exploration to building
- Creating your agent
- Optimizing agent performance
- Module 2 - What you've built
- Reviewing the tables
- Creating your semantic view
- Creating your search service
Advanced Agent Capabilities
- Your agent in Snowflake Intelligence
- Creating logic flow using orchestration instructions, part 1
- Creating logic flow using orchestration instructions, part 2
- Understanding agent monitoring
- Monitoring your agent in Snowflake
- Iterating based on monitoring insights
- Understanding MCP
- Creating Snowflake MCP server and use Cursor
- Module 3 - Summary and next steps