> ## Documentation Index
> Fetch the complete documentation index at: https://arize-ax.mintlify.site/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AI agent mastery

> A hands-on course on building, observing, evaluating, and improving production AI agents with Arize AX.

This course takes you from your first LLM-powered agent to robust, production-ready systems. Across seven modules you'll build an agent, instrument it for observability, design architectures with tools and MCP, ground it with agentic RAG, evaluate its behavior, and monitor it in production.

**Audience:** engineers building or operating agents.
**Prerequisites:** familiarity with LLM evaluation is helpful but not required.

## Modules

<CardGroup cols={2}>
  <Card title="Module 1: Introduction to agents" href="/ax/learn/courses/ai-agent-mastery/module-1-introduction-to-agents">
    What agents are, how they work, and the core building blocks you'll use throughout the course.
  </Card>

  <Card title="Module 2: Agent engineering and observability" href="/ax/learn/courses/ai-agent-mastery/module-2-agent-engineering-and-observability">
    Build an agent and instrument it with traces and spans to see what it does at every step.
  </Card>

  <Card title="Module 3: Agent architectures and frameworks" href="/ax/learn/courses/ai-agent-mastery/module-3-agent-architectures-and-frameworks">
    Common agent architectures and how the major frameworks compare.
  </Card>

  <Card title="Module 4: Tools and MCP" href="/ax/learn/courses/ai-agent-mastery/module-4-tools-and-mcp">
    Give agents tools and connect them to external systems with the Model Context Protocol.
  </Card>

  <Card title="Module 5: RAG and agentic RAG" href="/ax/learn/courses/ai-agent-mastery/module-5-rag-and-agentic-rag">
    Ground agents in your data with retrieval, and let them drive retrieval agentically.
  </Card>

  <Card title="Module 6: Agent evaluation" href="/ax/learn/courses/ai-agent-mastery/module-6-agent-evaluation">
    Measure agent quality with code-based and LLM-as-a-judge evaluations.
  </Card>

  <Card title="Module 7: Post-deployment and monitoring" href="/ax/learn/courses/ai-agent-mastery/module-7-post-deployment-and-monitoring">
    Monitor agents in production and keep improving them with real-world feedback.
  </Card>
</CardGroup>