AI Agent Architecture: Engineering Fundamentals with Cloudflare

AI agents are transforming how we build software, but moving from simple prompts to stateful, long-running agentic workflows requires a solid architectural foundation. This text-only course guides you through the fundamental engineering principles of AI agents. You will transition from understanding basic language model calls to designing robust, stateful agent loops that can maintain context, execute tools, and handle long-running tasks reliably using serverless infrastructure. What you'll learn: - Understand the core concepts of AI agents, including the agent loop, memory, and tool execution - Explore stateful agent architecture using Cloudflare Durable Objects for long-lived processes - Design robust agentic workflows that handle asynchronous tasks and state persistence - Implement tool-use and function-calling patterns to connect your agent to external services - Apply modern observability practices to trace, debug, and optimize agent decision-making The course begins with foundational definitions of agentic systems and state management, then progresses to the structural patterns of long-lived serverless objects, and concludes with practical strategies for deploying resilient agent loops. Designed for software developers and AI enthusiasts new to agentic architecture, this course requires no prior experience in stateful serverless development. Start reading today to master the fundamentals of modern AI agent engineering.