AI Agent
System Design

About the Course

AI agent design interviews test whether you can architect LLM-powered systems that reason, use tools, and act autonomously. This course gives you a repeatable framework: define agent scope, choose orchestration patterns, design tools, manage memory and context, and build evaluation and safety layers.

Start with The Agent Playbook — an interview framework tailored to AI agent roles, estimation techniques for cost and latency, and a guide to choosing the right agent architecture. Then build your vocabulary with 12 concept lessons covering tool use, memory systems, RAG, orchestration patterns, guardrails, multi-agent systems, and more.

Finally, practice with 14 end-to-end design cases — from customer support agents to AI coding assistants — each with architecture diagrams, orchestration flows, and leveled expectations showing what separates mid-level from staff-level answers.