Building AI Agents with Snowflake

About this course

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. By the end of this course, you will be able to: - Distinguish between AI assistants and AI agents, and identify when autonomous agent capabilities are the right solution for your use case - Build Cortex Analyst and Cortex Search that enable agents to query structured metrics and search unstructured content using natural language - Configure and deploy Cortex Agents that autonomously plan tasks, select appropriate tools, and synthesize insights from multiple data sources - Write effective orchestration instructions that guide agent behavior and optimize response quality - Evaluate agent reliability using observability features and implement improvements based on performance metrics - Connect agents to external applications using Model Context Protocol for broader integration To be successful in this course, you should have basic familiarity with SQL and understand how data is organized in databases. Prior experience with AI or machine learning is helpful but not required, as the course covers foundational agent concepts before moving into implementation. This is a hands-on course where you'll build alongside the instructor, so you'll use a free Snowflake trial account.