Plan de estudios

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

1. Module M01

   1. Lesson M01-L01 — Professional AI Workspace Overview
   2. Lesson M01-L02 — VS Code / Cursor Setup for AI Repos
   3. Lesson M01-L03 — Integrated Terminal, Tasks, and Extensions that Matter
   4. Lesson M01-L04 — Debugging Basics & Safe AI-Assisted Coding Norms

2. Module M02

   1. Lesson M02-L01 — Git Fundamentals: init, status, add, commit, log
   2. Lesson M02-L02 — Branching, Pull Requests & GitHub Collaboration
   3. Lesson M02-L03 — .gitignore for Python/AI Projects
   4. Lesson M02-L04 — What Never to Commit & Leak Remediation

3. Module M03

   1. Lesson M03-L01 — Canonical Folder Layout & Reusable Architecture
   2. Lesson M03-L02 — Configuration Management & Secrets in Projects
   3. Lesson M03-L03 — Logging & Error-Handling Habits in Projects
   4. Lesson M03-L04 — Testing Fundamentals & Documentation Quality

4. Module M04

   1. Lesson M04-L01 — Task Runners & scripts/ for Maintainable Work
   2. Lesson M04-L02 — Pre-commit Mindset & Secret Scanners
   3. Lesson M04-L03 — Code Review Checklist for AI Apps
   4. Lesson M04-L04 — Tags, Releases & Ship the AI Repo Template