This advanced course path explores the 12-Factor Agents methodology for creating maintainable, scalable, and reliable agentic applications in Python. You will learn how targeted language model integration works alongside established software engineering practices. You will develop structured outputs, validated tool schemas, explicit execution loops, context management, and error-driven self-correction. You will also create stateless reducer-style agents that externalize prompts and unify execution with business state. Finally, you will expose agents through REST APIs, orchestrate background tasks, persist state in a database, and implement pause-and-resume controls. The path is designed for experienced Python developers building agent services that support multiple interfaces and human-in-the-loop workflows.
