This intermediate path teaches you how to build context-aware AI agents in Python, starting with basic agent execution and progressing to more advanced workflows. You will learn how to run agents, inspect results, format outputs, and use asynchronous and streamed execution for responsive applications. The path covers practical ways to extend agents with tools, including hosted tools, custom function tools, agents used as tools, and external tool integrations. You will also learn how to coordinate multiple agents through multi-turn conversations, execution chains, handoffs, and customized input flows. A major focus is building agents that are reliable and safe to use. You will practice handling sensitive data, monitoring and customizing workflows with hooks, and applying guardrails to validate and filter inputs and outputs.
