This intermediate path teaches you how to build effective Claude agents from scratch in Python. You will work with direct API calls, prompt-driven workflows, custom tools, and agent loops to create systems that can reason through tasks and interact with external functions. The path covers practical patterns for decomposing complex work, routing requests, coordinating specialized agents, and managing iterative tool use. You will also learn how to scale agentic systems with asynchronous programming, concurrent API calls, and parallel tool execution. This path is designed for Python developers who understand basic API usage and want to build more capable LLM applications. By the end, you will be able to design, implement, and coordinate Claude-based agent systems using core Python concepts and clear orchestration patterns.
