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: Hier starten
Eine 12-minütige Orientierung zum 7-Kapitel-Skill-Path Agent Engineering – das Grundlagenkapitel, dann die Primitives, die du brauchst, bevor du einen Agent-Archetyp wählst.
- 2Dein erster KI-Agent
Loop, Tool, Memory — baue den kleinstmöglichen Agenten und sieh genau, was ihn antreibt.
- 3Agentic Patterns
Tool Use, ReAct-Schleifen, Multi-Agent-Orchestrierung und Guardrails für zuverlässige Agentensysteme.
- 4Agent Memory & State Management
Entwirf Memory-Systeme, die KI-Agenten Kontinuität, Personalisierung und die Fähigkeit geben, sitzungsübergreifend zu lernen.
- 5MCP mit Claude Code
Verbinde Claude mit deinen realen Tools über das Model Context Protocol.
- 6Agent Skills meistern
Erstelle wiederverwendbare Instruktionspakete, die KI-Agenten deine Workflows beibringen — damit du einmal lehrst und jedes Mal davon profitierst.
- 7Agentic RAG
Baue Retrieval-Agenten, die Abfragen planen, zwischen Quellen routen und sich selbst korrigieren — das #1-Architekturmuster in produktiver KI.
- 8Agent-Fehler & Wiederherstellung
Baue Agents, die Tool-Ausfälle, unkontrollierte Schleifen und kaskadierende Fehler überleben — mit Retry, Circuit Breakern und menschlicher Eskalation.
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.