Building an AI agent that can talk is one thing. Building one that can actually retrieve data, call external services, and respect who is allowed to do what is something else entirely — and that is exactly where most production AI projects break down. If your agent feels stuck in a demo, unable to reach the systems your business runs on, this course is for you. Across six hands-on lessons you will learn how to connect an AI agent to real-world infrastructure. You will start with the architecture of an AI agent that can perceive its environment and act on it, then move into database integration — both SQL and NoSQL — so your agent can read and write persistent data reliably. From there you will explore how to design and consume APIs as tools an agent can invoke, including REST patterns and error handling strategies. You will then layer in authentication and authorization, teaching your agent to verify identity, manage tokens, and enforce access control without leaking sensitive credentials. Each lesson focuses on practical patterns you can apply immediately to any major AI agent framework. This course is designed for developers and technical builders who already understand the basics of AI agents and prompt design, and who now want to make those agents production-ready. You should be comfortable reading code and calling an API, but no prior experience with advanced AI tooling is required. Stop building agents that live only in chat windows. Enroll now and learn to wire your AI agent into the databases, APIs, and identity systems that real applications depend on.