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: Start Here
A 12-minute orientation to the Agent Engineering skill path — primitives for tool use, memory, skills, retrieval, and failure recovery
- 2Your First AI Agent
Build the smallest possible agent — one model, one tool, one memory slot — and see exactly what makes the loop tick
- 3Agentic Patterns
Tool use, ReAct loops, multi-agent orchestration, and guardrails for reliable agent systems
- 4Agent Memory & State
Design memory systems that give AI agents continuity across sessions
- 5MCP with Claude Code
Connect Claude to your tools using the Model Context Protocol
- 6Mastering Agent Skills
Master the art and science of building Agent Skills — reusable instruction packages that teach AI agents your workflows
- 7Agentic RAG
Build agents that plan, retrieve, self-correct, and route across knowledge sources
- 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.