BACKEND, DATA, ML & FULL-STACK ENGINEERS

How to design—and defend—a production AI system when the interviewer keeps changing the constraints.

Turn RAG, agents, LLM evaluation, reliability, security, latency, and cost into one coherent system-design answer you can defend under follow-up.

13 modules and 81 lesson or assessment files
Seven complete production-AI case packs
Three executable build and debugging labs
Three free previews; founding membership is $49 per month
Cancel before renewal; charges are final and non-refundable except where required by law

AI system-design gap check

Find the part of your answer that needs work against a transparent practice rubric.

Move from product framing and success criteria to architecture, evaluation, security, performance, and defence.

Inspect the request, evidence, policy, evaluation, and operational boundaries.