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★ 4.8 rated · $9.99
Design LLM apps the way interviewers expect: model internals, RAG, agents, GPUs, cost and safety, 4 full mock designs
$9.99 with coupon (list $149.99 — save $140.00, 93% off)
Coupon Verified: October 16, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Mastering Gen AI System Design Interviews on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 4h 27m of on-demand video, that works out to roughly $2.24 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Laxmi Kant | KGP Talkie walks you through answer any GenAI system design question with one six-step framework: requirements, metrics, design, deep dive, trade-offs, evaluation, estimate tokens, requests per second, daily cost and GPU memory for an LLM system in a few minutes on a whiteboard, and explain how a model serves a request, from prefill and decode to the KV cache, and what each step costs in memory and speed — skills meant to be used, not just watched. It has already been taken by 55 students and holds a 5.0-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Basic understanding of how web services work: APIs, databases, caches and load balancers; Helpful but not required: you have called an LLM API or built one small chatbot. Best suited to learners who already have footing in Development. Plan for roughly 4h 27m of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Mastering Gen AI System Design Interviews — taken from the official Udemy syllabus for Development learners.
Answer any GenAI system design question with one six-step framework: requirements, metrics, design, deep dive, trade-offs, evaluation.
Estimate tokens, requests per second, daily cost and GPU memory for an LLM system in a few minutes on a whiteboard.
Explain how a model serves a request, from prefill and decode to the KV cache, and what each step costs in memory and speed.
Explain attention, GQA, FlashAttention, PagedAttention, batching, speculative decoding and mixture of experts in interview terms.
Design a RAG system end to end: chunking, embeddings, hybrid search, reranking, citations, access control and evaluation.
Choose between RAG and fine-tuning, and defend the choice with cost, freshness and behaviour trade-offs.
Design agents with tool calling, MCP, context engineering and guardrails on actions, plus a plan to evaluate them.
Plan for production: cost control, latency budgets, fallbacks, prompt injection, tracing, monitoring and safe rollouts.
What you need before enrolling in Mastering Gen AI System Design Interviews — prerequisites as listed by the instructor on Udemy.
Basic understanding of how web services work: APIs, databases, caches and load balancers
Helpful but not required: you have called an LLM API or built one small chatbot
No coding, no GPU and no math beyond simple multiplication and division
The full official description of Mastering Gen AI System Design Interviews — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on October 16, 2026.
★ 4.8 rated · $9.99
★ 4.8 rated · $9.99
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★ 4.6 rated · $9.99
★ 4.6 rated · $9.99
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