LLM Architecture
Design scalable app layers for prompts, context retrieval, and orchestration.
Production-grade AI engineering for teams shipping real systems under real constraints.
Prakash Raja
AI Systems Instructor
What You’ll Learn
Design scalable app layers for prompts, context retrieval, and orchestration.
Build test harnesses that catch quality drift before users do.
Tune runtime performance with caching, routing, and retrieval optimization.
Ship with safer outputs, observability, and deployment guardrails.
Curriculum
Every module is designed to compress decision-making time and produce implementation-ready output, not passive learning.
Modern LLM application architecture
Prompt engineering, evals, and test harness design
RAG pipelines, vector stores, and retrieval quality
Latency, cost optimization, and caching strategies
Security patterns and deployment runbooks
Course Comparison
Production-grade AI engineering for teams shipping real systems under real constraints.
Strategic AI operating systems for leaders who need market advantage, not theory.
Testimonials
“Clear engineering rigor. The content maps directly to how modern AI product teams should operate.”
Sonia Patel
Principal Engineer
“Finally a technical course that treats evals, latency, and reliability as first-class concerns.”
Victor Chen
AI Platform Lead
Enrollment
Join AI FOR TECH PEOPLE to get the frameworks, systems, and execution clarity required to lead or ship AI with confidence.
$1,800
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