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Intermediate·1 hour·6 lessons

Building AI Agents

Build AI agents that autonomously loop through tasks — gathering context, taking action, verifying results, and iterating until the job is done, using the Claude Agent SDK.

What you'll learn

Agent vs. chain-of-LLM-calls
Tool loops & decision-making
MCP servers
Error recovery & graceful degradation
Human-in-the-loop patterns
Multi-agent orchestration
Computer use

Your instructor

Jordan Lee

Agent Systems Engineer, Anthropic

Jordan builds the agent infrastructure behind Claude Code.

Syllabus

01

When You Need an Agent

Understand the spectrum from single LLM calls to autonomous agents, and know exactly when each pattern is the right choice.

02

The Agentic Loop

Build your first agent with the Claude Agent SDK and understand the gather-act-verify-iterate loop that powers every autonomous agent.

03

Designing Tools That Agents Can Actually Use

Design tools that Claude can use effectively — with clear descriptions, mistake-proof schemas, and graceful error handling.

04

MCP — Connecting Agents to the Real World

Use the Model Context Protocol to give your agent standardized access to external systems — databases, browsers, APIs, and thousands more.

05

Guardrails, Human Checkpoints, and Multi-Agent Systems

Add safety guardrails with hooks, design human-in-the-loop checkpoints, and orchestrate multiple specialized agents for complex tasks.

06

Computer Use and What's Next

Give your agent eyes and hands with computer use, see the full agent architecture come together, and learn where the field is heading.

This course includes

  • 6 self-paced lessons
  • 1 hour of content
  • Claude tutor on every lesson
  • Certificate of completion

Free to start. No credit card required.