Plan de estudios

Solo títulos de módulos y lecciones. El contenido completo se desbloquea tras la inscripción.

1. Module M01

   1. Lesson M01-L01 — Jobs-to-be-Done for AI Features
   2. Lesson M01-L02 — Surfaces Map: Chat, Forms, Copilots, Automation, Channels
   3. Lesson M01-L03 — Uncertainty, Review Loops, and Human-in-the-Loop
   4. Lesson M01-L04 — Success Metrics That Are Not "Cool Demo"

2. Module M02

   1. Lesson M02-L01 — Happy Path + Failure Path Journey Design
   2. Lesson M02-L02 — Memory Boundaries: Session, User, Org, None
   3. Lesson M02-L03 — Hallucination UX Patterns (Cite, Warn, Require Confirm)
   4. Lesson M02-L04 — Permissions, PII, and Data Retention Defaults

3. Module M03

   1. Lesson M03-L01 — Orchestration Layers (UI → App → AI Service → Tools)
   2. Lesson M03-L02 — Tool Use and Structured Contracts in Product Terms
   3. Lesson M03-L03 — RAG vs Prompt-Only vs Agent — Choosing the Shape
   4. Lesson M03-L04 — Observability and Eval Hooks as Product Requirements

4. Module M04

   1. Lesson M04-L01 — Writing an AI Feature PRD
   2. Lesson M04-L02 — Architecture One-Pager That Engineers Can Implement
   3. Lesson M04-L03 — Launch Checklist: Safety, Cost, Support, Rollback
   4. Lesson M04-L04 — Ship JP-JA09 Portfolio Package