Prompt Engineering, Structured Outputs & Tool Use

Few-shot prompting, schema enforcement, tool schemas, and programmatic prompt design.

2 weeks · wk 8–9Applied pace5 topics15 Interview Questions

Why this pace:Raw LLM text output cannot be safely parsed in production. Robust AI architectures require guaranteed JSON schema adherence, function calling contracts, and programmatic optimization.

SEC FOCUS

Never evaluate raw LLM string outputs inside Python eval() or unparameterized SQL queries; always enforce strict schema validation.

Topics & Action Items (5)

Advanced Prompt Architectures: Few-Shot, CoT & ReAct

4 hrs

Guaranteed Structured Outputs: Pydantic, Instructor & Outlines

5 hrs

Context Window Optimization & Prompt Caching

4 hrs

Tool & Function Calling Protocols

4 hrs

Programmatic Prompt Optimization: DSPy Framework

5 hrs

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