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AI Router and content system

Design an AI router that chooses between local models and frontier APIs with LiteLLM, privacy policies, quality scoring, shadow mode, observability, and human review for educational content.

Intermediate to advanced 6 lessons Free and open source

Lessons are available in English. Code snippets keep original commands and file names intact.

modules
2
lessons
6
status
open

What you will be able to do

  • Design routing policies by privacy, cost, and difficulty
  • Use LiteLLM as a gateway with keys, budgets, and fallbacks
  • Measure quality with scoring, shadow mode, and traces
Final deliverable

An AI Router prototype for generating and reviewing educational content with auditable routes.

Teams and creators combining local models, frontier APIs, and human review in real pipelines.

  • Basic Python
  • Understanding of LLM APIs and local models
  • Some LiteLLM or LLM observability context helps
7 hSystems, models, and agents

Editorial review: July 10, 2026

Syllabus

6 steps