Back to AI DashboardModule 11: AI System Design
AI Engineer Track
Module 11: AI System Design
Scale model routing hubs. Integrate semantic caches, prompt registries, cost limits, and latency fallbacks.
Syllabus Modules
Observability TracingComing Soon
Trace nested agent execution logs using OpenTelemetry standards.
Total Lessons: 0Explore Module
LLM Caching LayerComing Soon
Build semantic vector caches preventing duplicate prompt execution costs.
Total Lessons: 0Explore Module
Model Routing GatewaysComing Soon
Router services selecting appropriate models dynamically based on constraints.
Total Lessons: 0Explore Module
Cost ThrottlingComing Soon
Configure budgets checkpoints and alert loops checking usage.
Total Lessons: 0Explore Module
Latency FallbacksComing Soon
Setup backup routing maps to run small open-source models on provider timeouts.
Total Lessons: 0Explore Module
Track Progress
0 / 7Projects Verified
Learning Outcomes
- Integrate OpenInference tracers capturing nested agent steps
- Build semantic caches reducing repeat API query costs by 80%
- Configure fallback routes switching to open-source models on API timeouts
Interview Defense
- Architect a global high-availability LLM gateway resolving client-side rate limits
- Propose cost containment designs for open-ended loop recursive agent pools