- Agent Engineering: Start Here
- Your First AI Agent
- Agentic Patterns
- Agent Memory & State
- MCP with Claude Code
- Mastering Agent Skills
- Agentic RAG
- Agent Failure & Recovery
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.

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Corso da seguire online, organizzato da Anthropos AI Academy.
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.
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.
Build a minimal AI agent with one model, one tool, and one memory slot
Apply agentic patterns: tool use, ReAct loops, and multi-agent orchestration
Design agent memory and state that persists across sessions
Connect Claude to your tools using the Model Context Protocol (MCP)
Build reusable Agent Skills that teach agents your workflows
Build agentic RAG that plans, retrieves, self-corrects, and routes across sources
Make agents resilient with retry, circuit breakers, and human escalation
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.