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AI Engineering · 200-level

Structured Outputs & Function Calling

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AIE-2042 creditselectivebadge: structurerprereqs: AIE-102
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What's inside

Sections & lessons

01

JSON Schema basics

  • Every node as a literal schema contract, not just a promptconcept45 min
02

Function/tool calling patterns

  • Calling a function or tool from model output reliablyconcept60 min
03

Validation at the boundary

  • Watching a mock app crash the moment enforcement turns offconcept60 min
04

Schema drift across models

  • Comparing how different model families honor the same schemaconcept60 min
05

Node-canvas pipeline lab

  • Extract → call → transform → checkpoint → actconcept90 min
06

Quiz: schema-contract judgment

  • Checkpoint on spotting which field broke the contractconcept30 min
07

Lab + eval-gate: adversarial input pipeline

  • Halt the pipeline at the exact field that lied (Structurer badge)concept120 min
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Learn it from the inside

This module's playgrounds

AI Engineering

Next in this path

Where this specialization goes from here — in (level, code) order.

  • AIE-205

    Automation & Workflows

    2 creditselectivebadge: automator
    Start
  • AIE-301

    Agent Foundations

    3 creditscorebadge: agent-i
    Start
  • AIE-302

    Multi-Agent Orchestration & HITL

    2 creditselectivebadge: agent-ii
    Start
  • AIE-303

    MCP & Tool Integration

    2 creditselectivebadge: integrator
    Start
  • AIE-304

    AI Security & Red-Teaming

    3 creditselectivebadge: red-teamer
    Start
  • AIE-401

    Evals & Quality Systems

    3 creditscorebadge: evaluator
    Start
  • AIE-402

    LLMOps: Cost, Latency, Observability

    3 creditselectivebadge: operator
    Start
  • AIE-403

    AI System Design

    3 creditselectivebadge: architect
    Start
Vocabulary

Key concepts in this course

Structured Outputs Function Calling (Tool Calling) JSON Mode Tool Use Model Drift

Compare related approaches

AI Agents vs Workflows Closed vs Open-Weight Models
Optional · watch & try

Go deeper, elsewhere

Hand-picked public explainers and open tools — always optional, never required, never graded.

Structured Outputs with Pydantic & OpenAI Function CallingShows schema-constrained output enforcement in practice Anthropic function calling for structured LLM outputsSame pattern demonstrated against Claude's tool-use API Benefits of Function Calling with Structured Outputs60-second why-it-matters framing · ~1 minOpenAI function calling guideOfficial reference for JSON-schema-constrained tool calling Claude tool use docsOfficial Anthropic reference for defining and validating tool schemas

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