Building Knowledge-Enhanced AI Agents with Foundry IQ

Organizations possess vast amounts of data, but AI agents often struggle to access and reason over this information accurately. This text-based course guides you through bridging that gap using Foundry IQ to build reliable, knowledge-enabled AI systems. You will transition from understanding basic generative AI concepts to designing and implementing practical agents that utilize a unified knowledge layer. Through written explanations, architectural breakdowns, and concrete configuration examples, you will learn how to feed real-time organizational data into agentic workflows safely and efficiently. What you'll learn: - Understand the fundamentals of Retrieval-Augmented Generation (RAG) and semantic search. - Configure Foundry IQ's unified knowledge layer to connect diverse data sources. - Design agentic retrieval strategies that allow AI to intelligently query structured databases. - Apply modern chunking and metadata tagging techniques to improve retrieval accuracy. - Build a functional knowledge-enhanced AI agent using step-by-step written tutorials. - Implement prompt engineering patterns that guide agents to reason over retrieved context. The course begins with foundational concepts of knowledge integration before moving into step-by-step configurations of the retrieval engine. You will follow a logical progression from raw data ingestion to deploying a fully responsive agent. This course is designed for software developers, data professionals, and AI enthusiasts who are new to Foundry IQ. No prior experience with agentic frameworks is required, though a basic understanding of API concepts is helpful. Start reading today to unlock the power of enterprise data for your AI agents.