AI Skill Certs
Domain 1·14.7% of exam·6 concepts

Agents and Workflows

Decide between workflows and agents, construct Claude agents with the Agent SDK and custom harnesses, and apply core agent patterns and frameworks.

1.1

Agent Architecture (4.5%): Principles, patterns, and tradeoffs of agent and workflow architecture, including the decision criteria for using a workflow versus an agent, the structure of manager/supervisor hierarchies, and the role of subagents in improving task execution.

1.2

Agent Construction with Claude (5.3%): Methods, tools, and platforms for constructing Claude agents, including the Claude Agent SDK, custom agent loops and harnesses, managed agent deployment models (self-hosted vs. Anthropic-hosted), and hooks for deterministic actions.

1.3

Agent Patterns and Frameworks (4.9%): Common agent design patterns (tool-use loops, sub-agents, memory, context-window management) and agentic abstraction frameworks (e.g., Strands, LangGraph, PydanticAI) for building agents and workflows for multi-step tasks.

Other exam domains

Domain 2 · 33.1%Applications and IntegrationDomain 3 · 3.1%Claude CodeDomain 4 · 2.6%Eval, Testing, and DebuggingDomain 5 · 16.8%Model Selection and OptimizationDomain 6 · 11%Prompt and Context EngineeringDomain 7 · 8.1%Security and SafetyDomain 8 · 10.6%Tools and MCPs
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