Course · 8 chapters
Agent engineering
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
- 1Agent Engineering: parti da qui
Un orientamento di 12 minuti allo skill path Agent Engineering da 7 capitoli — il capitolo di fondamenta, poi le primitive che ti servono prima di scegliere un archetipo di agent.
- 2Il tuo primo agente AI
Loop, tool, memoria — costruisci l'agente più piccolo possibile e scopri esattamente cosa lo fa funzionare.
- 3Agentic Patterns
Tool use, ReAct loop, orchestrazione multi-agent e guardrails per sistemi di agent affidabili.
- 4Memoria e gestione dello stato degli agent
Progetta sistemi di memoria che danno agli agent AI continuità, personalizzazione e la capacità di apprendere fra una sessione e l'altra.
- 5MCP con Claude Code
Collega Claude ai tuoi tool reali con il Model Context Protocol.
- 6Padroneggiare le Agent Skills
Costruisci pacchetti di istruzioni riusabili che insegnano agli agent AI i tuoi workflow — così insegni una volta e ne raccogli i benefici sempre.
- 7RAG agentic
Costruisci agent di retrieval che pianificano le query, routano fra le fonti e si autocorreggono — il pattern di architettura n. 1 nell'AI in produzione.
- 8Failure e recovery degli agent
Costruisci agent che sopravvivono ai fallimenti dei tool, ai loop fuori controllo e agli errori a cascata — con retry, circuit breaker ed escalation umana.
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.