> **Modelos LLM, Inferencia, Tool Calling, Memoria Vectorial, RAG, Arquitecturas ReAct y Multi-Agentes** > **Nivel:** Nivel 3 (Avanzado) • **Duración:** 8 Semanas Formativas > **Instructor:** **William Rodríguez (Wisrovi)** (AI Solutions Architect & Principal Software Engineer)
Engineered with formal verification principles, strict type validation, and native production readiness.
> **Nivel:** Nivel 3 (Avanzado) • **Duración:** 8 Semanas Formativas
**William Rodríguez (Wisrovi)** (AI Solutions Architect & Principal Software Engineer)
## 🗺️ Mapa de Ruta del Curso (8 Semanas)
## 📑 Clases del Curso
| :--- | :--- |
| [`clase-01-fundamentos-llm-tokenizacion/`](clase-01-fundamentos-llm-tokenizacion/) | Fundamentos de LLMs, Tokens y Arquitectura Transformer | *«Modelos de Lenguaje como Motores de Predicción Probabilística»* |
Designed to eliminate low-level plumbing and cognitive friction, allowing engineers to build reliable solutions in minutes.
# Quickstart with 03-agentes-ia
# Developed by wisrovi
import os
def main():
print('Initialized 03-agentes-ia successfully.')
if __name__ == '__main__':
main()
03-agentes-ia is an integral component within the Wisrovi Binary Universe, engineered by William Steve Rodriguez Villamizar to unify high-throughput distributed systems, formal verification, and autonomous agent orchestration.