Real estate teams are surrounded by fragmented data, repetitive inquiries, and time-sensitive decisions. Production-ready AI agents can help qualify leads, search property information, draft responses, and coordinate workflows, but building reliable agents for real business use requires more than connecting a language model to a prompt. This course shows you how to design, implement, and deploy AI agents that operate safely within real estate workflows. You will learn how to map real estate use cases into agent workflows, design prompts and structured outputs for consistent results, connect agents to property listings and business tools, and implement retrieval-augmented generation for grounded answers. You will also explore lead qualification, tool calling, conversation state, validation, error handling, human approval steps, and safeguards for sensitive real estate data. The course culminates in deploying an agent service with observability, evaluation methods, and practical production controls. This course is designed for developers, automation specialists, real estate technology professionals, and technically minded operators who want to turn AI agent concepts into dependable applications. Familiarity with basic programming, APIs, and web services is helpful, but prior experience building AI agents is not required. Move beyond experimental demos and build an AI agent that can support real estate operations with greater consistency, traceability, and control. Start building your production-ready solution today.