Course · 8 chapters
Ingeniería de agentes
Build production AI agents that use tools, remember across sessions, and recover from failures. Hands-on with MCP, Agent Skills, and agentic RAG, 8 chapters for engineers.
What you'll be able to do
- Build your first AI agent from scratch
- Apply ReAct loops and agentic patterns
- Design agent memory that persists
- Connect Claude to tools with MCP
- Ship agentic RAG that self-corrects
- Make agents resilient to failure
What's inside
- 1Ingeniería de Agentes: Comienza Aquí
Una orientación de 12 minutos al skill path de 7 capítulos sobre Ingeniería de Agentes — el capítulo de fundamentos, luego las primitivas que necesitas antes de elegir un arquetipo de agente.
- 2Your First AI Agent
Loop, tool, memory — build the smallest possible agent and see exactly what makes it tick.
- 3Agentic Patterns
Tool use, ReAct loops, multi-agent orchestration, and guardrails for reliable agent systems.
- 4Memoria y gestión de estado en agents
Diseña sistemas de memoria que dan a los AI agents continuidad, personalización y la capacidad de aprender entre sesiones.
- 5MCP con Claude Code
Conecta Claude a tus herramientas del mundo real usando el Model Context Protocol.
- 6Mastering Agent Skills
Build reusable instruction packages that teach AI agents your workflows — so you teach once and benefit every time.
- 7Agentic RAG
Build retrieval agents that plan queries, route across sources, and self-correct — the #1 architecture pattern in production AI.
- 8Agent Failure & Recovery
Build agents that survive tool failures, runaway loops, and cascading errors — with retry, circuit breakers, and human escalation.
Frequently asked questions
- What will I learn in the Agent Engineering course?
- You learn to build production AI agents from the primitives up: tool use, memory and state, the Model Context Protocol (MCP), Agent Skills, agentic RAG, and failure recovery with retry and circuit breakers. It covers 8 chapters across roughly 2.7 hours.
- Who is this course for?
- It is built for software engineers and AI engineers at a practitioner level who want to design and ship reliable agent systems, not just prototypes. The path assumes you can read and write code.
- Do I need coding experience to take this course?
- Yes. This is an engineering-focused, practitioner-level path, so you should be comfortable with code and building software. It walks through hands-on agent construction rather than concepts alone.
- How long is the course and is there a certificate?
- The path has 8 chapters totaling about 162 minutes (roughly 2.7 hours). After you complete all chapters you earn a certificate from AI Academy by Anthropos.
- Is the Agent Engineering course free?
- No. Agent Engineering is a paid path included with an AI Academy by Anthropos subscription. It sits in the AI for Engineers track alongside other AI engineering content.
Earn a certificate
Complete all chapters to receive your certificate of completion.