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Building AI Agents with Snowflake

중급기술 수준

업데이트됨 2026. 6.

Build autonomous Cortex Agents in Snowflake that query structured and unstructured data, then deploy and monitor them.

무료 강의 시작

무료 포함

SnowflakeArtificial Intelligence

4시간

24 동영상

44 연습 문제

2,200 XP

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강의 설명

Autonomous AI agents are moving beyond chatbots to take real action on enterprise data. In this course, you'll build production-ready Cortex Agents in Snowflake that answer natural-language questions across structured databases and unstructured documents, then learn to evaluate, optimize, and deploy them using orchestration instructions, observability, and the Model Context Protocol.

선수 조건

Building Generative AI Apps to Talk to Your Data

1

Foundations of Agentic AI with Snowflake Cortex

In this chapter, learn how AI agents differ from traditional assistants and how they plan, call tools, and reason over enterprise data through real-world use cases.

Welcome to Building Agentic AI Applications with Snowflake Cortex

Understanding AI Agents vs. AI Assistants

How Agents Work - Planning & Tool Calling

Why Agents Behave the Way They Do

How Agents Work - Memory & RAG Integration

Enterprise Use Case - B2B Sales Intelligence Assistant

Enterprise Use Case - Customer Service Agent for Insurance

Agent Demonstration

Chapter 1 Summary and What's Next

Chapter 1 review - Question 1

Chapter 1 review - Question 2

Chapter 1 review - Question 3

Chapter 1 review - Question 4

Chapter 1 review - Question 5

2

Building Your First Cortex Agent

In this chapter, learn how to build a complete B2B sales intelligence agent by creating a semantic view, configuring Cortex Search, and wiring both into a working Cortex Agent.

From Exploration to Building

Course Setup

Reviewing the Tables

Creating Your Semantic View

Creating Your Search Service

Creating Your Agent

Optimizing Agent Performance

What You've Built

Chapter 2 review - Question 1

Chapter 2 review - Question 2

Chapter 2 review - Question 3

Chapter 2 review - Question 4

Chapter 2 review - Question 5

3

Advanced Agent Capabilities

In this final chapter, learn how to deploy your agent with Snowflake Intelligence, shape its behavior with orchestration instructions, monitor and iterate on it, and connect it to clients using the Model Context Protocol.

Your Agent in Snowflake Intelligence

Create Logic Flow using Orchestration Instructions Part 1

Create Logic Flow using Orchestration Instructions Part 2

Understanding Agent Monitoring

Confirm Agent Permissions

Monitoring Your Agent in Snowflake

Iterating Based on Monitoring Insights

Setup MCP for Doing Deployments

Understanding Model Context Protocol

Create Snowflake MCP Server and use Cursor

Chapter 3 Summary and Next Steps

Recommended Readings

Chapter 3 review - Question 1

Chapter 3 review - Question 2

Chapter 3 review - Question 3

Chapter 3 review - Question 4

Chapter 3 review - Question 5

Building AI Agents with Snowflake

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