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AdvancedPremium~11 hours11 lessons
AI System Design Interview
Prepare for senior AI engineering interviews with system design walkthroughs, architectural tradeoffs, metric definitions, failure mode analysis, and mock interview practice.
What you'll learn
RAG system design end to end
AI chatbot system design
Agent platform architecture
LLM gateway and routing design
Vector database design at scale
Evaluation platform design
AI observability infrastructure design
Cost optimization strategies
Security, guardrails, and prompt injection defense
Behavioral interview stories for AI engineers
Mock interview answer bank
Learning outcomes
1Walk through a senior AI system design question with confidence
2Articulate tradeoffs clearly: cost vs. quality, latency vs. freshness
3Design evaluation and observability infrastructure from scratch
4Handle behavioral interview questions about AI engineering decisions
5Structure a 45-minute system design answer with diagrams
Related lessons
AI Engineering Roadmap
8 min
Agentic AI Fundamentals
7 min
RAG Systems Explained
9 min
LLMOps Basics
8 min
Prompt Engineering for Production
7 min
AI Evaluation and Guardrails
8 min
Prerequisites
Practice quizzes
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