LLM Application Architecture
System design for the full LLM stack — from gateway to model and back.
Most engineers understand prompting. Fewer understand the seven-layer stack that makes an LLM application reliable in production. This course covers the gateway, orchestration, memory, semantic caching, request patterns (sync/async/streaming/batch), fallbacks, circuit breakers, and observability — all with runnable code. Capstone: design a 50,000-query/day customer support AI under real cost, latency, and uptime constraints.
7h
Duration
8
Lessons
0
Learners
Course map
Lessons unlock as you complete the previous one. Your progress is saved on this device.
Lesson 1
The LLM application stack
10m35 XPLesson 2
Request patterns: sync, async, streaming, and batching
11m38 XPLesson 3
The gateway layer: routing, rate limiting, and fallbacks
12m40 XPLesson 4
State and memory architecture
11m38 XPLesson 5
Semantic caching — eliminate redundant LLM calls
10m35 XPLesson 6
Reliability engineering: retries, circuit breakers, and graceful degradation
11m38 XPLesson 7
Observability for LLM applications
10m35 XPLesson 8
Capstone: design a production AI customer support system
18m60 XP
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