This course is for AI engineers, application developers, data engineers, data analysts, other data professionals, and students who want to build autonomous AI agents that work with enterprise data. Whether you're looking to move beyond basic chatbots, create intelligent systems that can query both structured databases and unstructured documents, or integrate AI capabilities into existing business workflows, this course provides the hands-on foundation you need.
Building AI Agents with Snowflake
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Create AI agents that go beyond chatbots to autonomously solve business problems with enterprise data
Enable agents to query structured databases and search unstructured documents using natural language
Evaluate agent reliability and optimize performance using orchestration instructions and observability
Skills you'll gain
Details to know
Shareable certificate
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Recently updated!
February 2026
Assessments
3 assignments
Taught in English
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This course is part of the Snowflake Generative AI Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 3 modules in this course
In this module, you'll learn what makes AI agents different from traditional AI assistants and why this distinction matters for enterprise applications. You'll explore how agents autonomously plan, execute, and reflect on complex tasks rather than simply responding to direct queries. The module covers Snowflake's agentic AI architecture including Cortex Agents, Cortex Analyst, and Cortex Search, and how these components work together. You'll examine real-world use cases in B2B sales intelligence and customer service to understand when agent capabilities are the right solution for business problems.
What's included
8 videos1 reading1 assignment
In this module, you'll build a complete B2B sales intelligence agent from scratch using Snowflake's visual interfaces. You'll create a semantic view for Cortex Analyst that enables natural language queries over structured sales metrics, configure Cortex Search for unstructured conversation transcripts, and connect both as tools to an agent. You'll write orchestration instructions that guide agent behavior and test your agent with questions that require structured data, unstructured data, and both combined. By the end, you'll have a working agent that autonomously decides which tools to use based on the question asked.
What's included
7 videos2 readings1 assignment
In this module, you'll expand your agent skills with advanced capabilities for production use. You'll learn how agents handle complex multi-step scenarios through task decomposition. The module covers response optimization techniques including instruction refinement for orchestration and response format. You'll learn how to evaluate agent reliability using Snowflake's observability features. Finally, you'll configure Model Context Protocol to connect your agents with external applications, extending their reach beyond Snowflake.
What's included
9 videos4 readings1 assignment
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Frequently asked questions
AI agents are autonomous systems that can plan, reason, and take multi-step actions to accomplish goals. Unlike traditional chatbots that simply respond to direct queries, AI agents can break down complex problems, decide which tools to use, and synthesize information from multiple data sources. This course teaches you to build AI agents using Snowflake Cortex that combine structured database queries with unstructured document search.
Snowflake Cortex Agents is a platform for building autonomous AI agents that work with enterprise data. It includes Cortex Analyst for querying structured data using natural language, Cortex Search for finding information in unstructured documents, and orchestration capabilities that let agents autonomously decide which tools to use. This course teaches you to configure and deploy Cortex Agents through hands-on exercises.
Model Context Protocol is an open standard that allows AI agents to connect with external applications and data sources. MCP enables your Snowflake agents to integrate with tools like Claude Desktop, Cursor, and other AI applications. This course covers how to configure Snowflake's managed MCP servers to extend your agents beyond the Snowflake environment.
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