LLM Application System Design

Design production LLM systems — RAG, evaluation, guardrails, cost and latency — the way interviewers expect

Learn to design LLM-powered systems for interviews and production: prompt vs RAG vs fine-tuning, end-to-end RAG architecture, token and cost budgeting, evaluation, guardrails, agents, caching and routing, with a worked support-assistant design.

Practice questions (6)

• Prompt, RAG or Fine-Tune?

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• Modelling Cost and Latency for an LLM Feature

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• Debugging a Low-Quality RAG System

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• Designing an Evaluation Plan Before Launch

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• Agent or Workflow? Refund Handling

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Quizzes (1)