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LangChain & LangGraph: From Chains to Agents

96

Lecciones

12

Módulos

🎓

Acceso por bootcamp

Lo que aprenderás

Connect to any LLM provider (OpenAI, Anthropic, Google, Ollama) with a unified interface
Build tools, implement tool calling, and handle structured output
Create autonomous agents with create_agent and the ReAct pattern
Customize agent behavior with middleware (dynamic models, tools, prompts)
Design stateful workflows with LangGraph's StateGraph and Functional API
Implement advanced patterns: cycles, retries, branching, subgraphs, map-reduce
Add persistent memory with checkpointing and cross-session storage
Build human-in-the-loop systems with interrupts, approvals, and editable state
Architect multi-agent systems with supervisors, handoffs, and shared state
Monitor and debug agents with LangSmith tracing, evaluation, and token tracking

¿Para quién es?

  • Python developers who want to build AI agents and workflows beyond simple API calls
  • Backend engineers looking to integrate LLM-powered features into production systems
  • AI engineers who have used basic LangChain and want to master LangGraph for complex workflows
  • Developers who have built chatbots and want to level up to autonomous, stateful multi-agent systems
  • Engineers preparing for AI Engineering roles that require production-grade agent development

Requisitos

  • Intermediate Python (functions, classes, decorators, async/await)
  • Familiarity with REST APIs and HTTP concepts
  • Basic experience calling LLM APIs (OpenAI, Anthropic, or similar)
  • At least one LLM API key (OpenAI or Anthropic recommended)
  • Python 3.11+ installed

Contenido del curso

1Módulo 1: Modelos y Providers — Guía para el Creador8 lecciones
2Módulo 2: Tools y Tool Calling — Guía para el Creador8 lecciones
3Módulo 3: Agents con create_agent — Guía para el Creador8 lecciones
4Módulo 4: Middleware y Customización — Guía para el Creador8 lecciones
5Módulo 5: Introducción a LangGraph — Guía para el Creador8 lecciones
6Módulo 6: Functional API — Guía para el Creador8 lecciones
7Módulo 7: Flujos Avanzados — Guía para el Creador8 lecciones
8Módulo 8: Memoria y Persistencia — Guía para el Creador8 lecciones
9Módulo 9: Human-in-the-Loop — Guía para el Creador8 lecciones
10Módulo 10: Multi-Agent Systems — Guía para el Creador8 lecciones
11Módulo 11: Deep Agents — Guía para el Creador8 lecciones
12Módulo 12: LangSmith y Producción — Guía para el Creador8 lecciones
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