AI Engineering Fundamentals: Building Tools for Intelligent Agents

How do modern AI agents interact with the world, read application states, and modify data? The secret lies in tool calling, the fundamental layer that bridges large language models with external systems and user interfaces. This course guides you through the mechanics of designing, building, and optimizing tools that AI agents use to query application state and execute actions safely. What you'll learn: Understand the core architecture of agentic tool layers and function calling; Define clean tool schemas that large language models can reliably interpret; Implement query tools to let agents inspect application state before taking action; Manage the user experience and feedback loops during agent execution; Handle tool errors, validation failures, and unexpected model outputs; Apply security best practices to prevent unauthorized tool execution. You will start with the absolute basics of tool schemas and API integration, then progress to state querying and UX design principles for AI-driven applications. This text-based course is designed for developers and tech enthusiasts who want to transition into AI engineering without needing complex prior experience. Start building smarter, tool-equipped AI systems today.