Learn Agent Engineering

Learn Agent Engineering

A 12-course curriculum teaching AI agent development from first principles to production systems. Covers Claude Code fundamentals, tool calling, workflows, context management, multi-agent orchestration, observability, and harness design.

**Live at [learn.agentmentor.dev](https://learn.agentmentor.dev)** · Available in English, 中文, 日本語, 한국어, Español, Português (BR)

What You'll Learn

1. Claude Code Skills — Your first agentic prompt and how Claude Code executes it
2. Agent Workflows — Sequential, parallel, and conditional execution patterns
3. Prompt Engineering — System prompts, few-shot examples, and chain-of-thought
4. Tool Calling — Design interfaces, handle errors, and compose multi-tool chains
5. Memory & State — Persistent storage, context windows, and state machines
6. Multi-Agent Collaboration — Delegation, specialization, and coordination
7. Agent Harness — Runtime controls, safety gates, and turn budgets
8. Context Engineering — Efficient prompting under token constraints
9. State Persistence — Making long tasks survive interruptions
10. Verification — Testing agents, eval sets, and LLM-as-judge
11. Observability — Logging, tracing, and debugging agent behavior
12. Orchestration — Building graphs, review loops, and deterministic pipelines

Each course includes:

• 6 lessons with hands-on exercises
• Real code you can run locally
• Capstone projects demonstrating production patterns
• Sources cited throughout

How It Was Built

This curriculum was generated by the [Agent Mentor skill](https://agentmentor.dev) — a $4.99 Claude Code skill that writes pedagogically sound courses with exercises, citations, and multi-locale glossaries. The skill was invoked 12 times (once per course) via Claude Code, producing the entire path without direct human authoring.

**Why mention this?** It demonstrates what systematic agent workflows can produce when properly constrained: structured learn