Building AI Agents with Claude Agent SDK

AI agents are transforming how we automate complex workflows, but building them successfully requires a structured approach to state, memory, and tool integration. This course guides you through the foundational concepts of agentic systems using the Claude Agent SDK. You will transition from writing simple prompts to designing autonomous assistants that can reason, use external tools, and handle multi-step tasks. Through detailed written explanations and clear code examples, you will gain the confidence to architect and deploy resilient AI agents. What you'll learn: - Understand the fundamental architecture of AI agents and how they differ from standard completions - Configure the Claude Agent SDK to establish seamless communication with foundation models - Implement tool use and function calling to allow your agents to interact with external databases and APIs - Manage agent state, memory, and multi-turn conversations for complex, long-running tasks - Apply prompt engineering best practices specifically optimized for agentic decision-making - Design robust error-handling and fallback mechanisms to ensure agent reliability The course starts with essential agent terminology and SDK setup before guiding you through step-by-step implementations of tool integration and state management. You will progress from simple single-task agents to complex patterns through structured code walkthroughs. Designed for developers, software engineers, and AI enthusiasts who are new to agentic development, this course requires only basic programming knowledge. Start building intelligent, autonomous systems with Claude today.