AI Engineering · 200-level
Structured Outputs & Function Calling
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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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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