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IntermediatecourseBootcamp access

Building AI Agents Guide

80

Lessons

10

Modules

🎓

Bootcamp access

Lo que aprenderás

✓Understand agent cognitive architecture: perceive-reason-act loop and agent taxonomies
✓Build advanced tool use with complex schemas, validation, and error handling
✓Master function calling patterns: parallel calls, routing, composition, and structured extraction
✓Design agent state machines with LangGraph (StateGraph and Functional API)
✓Implement multi-step reasoning: ReAct deep dive, plan-and-execute, reflection and self-correction
✓Build memory systems: short-term, long-term, checkpointing, and durable execution
✓Integrate external tools with MCP (Model Context Protocol) — the emerging standard backed by Anthropic and Microsoft
✓Orchestrate multi-agent systems with supervisor, handoff, subagent, and router patterns
✓Test and evaluate agents with trajectory evaluation, golden datasets, and LangSmith
✓Deploy agents to production with FastAPI, monitoring, cost control, and error recovery

¿Para quién es?

  • •AI Engineers who have completed the LangChain & LangGraph guide and want to build complete agent systems
  • •Developers who have built basic agents and need production-grade patterns for real-world deployment
  • •Engineers implementing multi-agent systems at their companies who need orchestration patterns
  • •Professionals who want to understand MCP and the future of agent-tool integration
  • •Teams evaluating agent frameworks (LangChain vs Pydantic AI) for production projects

Requisitos

  • •Completed LangChain & LangGraph Guide (#9) or equivalent experience with LangChain v1.2+ and LangGraph v1.0+
  • •Completed Advanced Prompt Engineering Guide (#10) or equivalent experience
  • •Advanced Python (async/await, decorators, type hints, Pydantic models)
  • •Experience building at least one basic agent with LangChain or similar framework
  • •At least one LLM API key (OpenAI or Anthropic recommended)
  • •Python 3.11+ installed

Course content

1Módulo 1: Anatomía de un AI Agent — Guía para el Creador8 lessons
2Módulo 2: Tool Use Fundamentals — Guía para el Creador8 lessons
3Módulo 3: Function Calling Patterns — Guía para el Creador8 lessons
4Módulo 4: State Machines para Agents con LangGraph — Guía para el Creador8 lessons
5Módulo 5: Razonamiento Multi-Step y Planning — Guía para el Creador8 lessons
6Módulo 6: Memory Systems para Agents — Guía para el Creador8 lessons
7Módulo 7: MCP y Tool Integration Avanzado — Guía para el Creador8 lessons
8Módulo 8: Multi-Agent Orchestration — Guía para el Creador8 lessons
9Módulo 9: Testing y Evaluación de Agents — Guía para el Creador8 lessons
10Módulo 10: Agents en Producción y Alternativas — Guía para el Creador8 lessons
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