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IntermediatecourseBootcamp access

LangChain & LangGraph: From Chains to Agents

``` EN: Build production-ready AI agents and workflows with LangChain and LangGraph — from model integration and tool calling to multi-agent systems, memory, human-in-the-loop, and observability with LangSmith. ES: Aprende a construir agentes y workflows de AI listos para producción con LangChain y LangGraph. Esta guía te lleva desde conectar modelos y crear tools, hasta diseñar sistemas multi-agente con memoria persistente, supervisión humana y observabilidad completa. Ideal para developers que ya dominan Python y quieren construir aplicaciones de AI que van más allá de un simple chatbot — con control total sobre el flujo de ejecución, manejo de errores, y las mejores prácticas para llevar agentes a producción. ```

96

Lessons

12

Modules

🎓

Bootcamp access

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

Course content

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