Tutor IA EPIS-UCSM is an event-driven microservices pipeline on AWS that orchestrates intelligent tutoring through five bounded contexts: authentication, prompt processing, AI inference, interactive delivery, and telemetry. Student requests flow through an API Gateway into Login Institucional, then through Parser y Extractor de Contexto and pedagogical scaffolding rules before reaching the Analisis Algoritmico y Sintactico and Generacion Adaptativa Retroalimentacion services. An event bus (eventbar) decouples services, enabling asynchronous communication between processing, inference, rendering on Vercel, and telemetry capture. This architecture demonstrates domain-driven design with service discovery and config management for scalable, observable AI tutoring systems. Fork and customize this diagram on Diagrams.so to adapt the pipeline for your institution's LMS or add additional bounded contexts.