Skip to content
AI Learning Ground Start learning

Model Architectures · Practitioner

Prompting vs. RAG vs. Fine-Tuning: A Decision Framework

A defensible way to choose between better prompts, retrieval, and training — with cost, latency, and maintenance trade-offs.

  • 35 min lesson
  • intermediate level
  • Engineering Track
  • Narrated presentation

What you’ll learn

  • Knowledge gap vs. behaviour gap diagnosis
  • Retrieval for freshness, citations, and access control
  • Fine-tuning for style, format, and latency
  • Total cost of ownership and re-training cycles
  • Composability of the three approaches
  • Evidence-driven escalation

Inside this lesson

A narrated, slide-by-slide presentation with 1 prediction exercise, 1 knowledge check, 4 videos. You answer as you go, and the platform checks your work.

Start this lesson All courses