Plan de estudios

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

1. Module M01

   1. Lesson M01-L01 — Python Versions & Why venv Matters for AI Work
   2. Lesson M01-L02 — pip, requirements, and Lock Discipline (Lightweight)
   3. Lesson M01-L03 — REPL vs Scripts vs Modules
   4. Lesson M01-L04 — Path, cwd, and Project Roots

2. Module M02

   1. Lesson M02-L01 — Types that Matter: str, list, dict, None
   2. Lesson M02-L02 — Functions, Return Values, and Docstrings
   3. Lesson M02-L03 — Errors & Exceptions (Catch What You Can Fix)
   4. Lesson M02-L04 — Comprehensions & Loops Without Over-Cleverness

3. Module M03

   1. Lesson M03-L01 — Reading/Writing Text & JSON
   2. Lesson M03-L02 — pathlib Habits
   3. Lesson M03-L03 — .env and Environment Variables Pattern
   4. Lesson M03-L04 — Logging vs print for Builders

4. Module M04

   1. Lesson M04-L01 — HTTP Mental Model for AI APIs
   2. Lesson M04-L02 — requests Patterns (Teaching Default)
   3. Lesson M04-L03 — Timeouts, Simple Retries, and Status Codes
   4. Lesson M04-L04 — Project Layout for AI Apps + Toolkit Packaging