Is this a video course?

No. This is an interactive, slide-based learning platform. Each lesson has rich text, animated diagrams, live code editors, and quizzes. You learn by reading, interacting, and doing, not by watching videos passively.

How long do I have access?

Forever. Both pricing tiers are one-time payments with lifetime access. This includes all current 766 lessons and any future content we add.

What level of experience do I need?

None. We start from absolute basics like 'What is latency?' and build up to distributed consensus protocols. The Foundation level assumes zero prior knowledge of system design.

How much does the system design course cost?

7.99 US dollars for lifetime access globally, or 499 Indian rupees for lifetime access in India. One-time payment, no subscription, no hidden fees. 11 lessons are free with no signup required.

What technologies are covered?

Everything from DNS and load balancers to Kubernetes, Kafka, distributed databases, consensus protocols, stream processing, security architecture, and observability. We cover principles and real-world implementations used at Netflix, Google, Amazon, Uber, Stripe, and more.

Is this useful for system design interview preparation?

Yes. The lessons are structured around the exact topics asked in system design interviews at FAANG and top-tier companies. Interactive diagrams help you practice whiteboard-style explanations. Covers everything from URL shortener design to distributed payment systems.

How is this different from ByteByteGo or Educative?

766 interactive lessons (4x more than most competitors), 16 different diagram types that build step by step, real production examples from Netflix, Google, Amazon, Uber, and Stripe, and lifetime access for a one-time payment of $7.99 instead of annual subscriptions costing 100 to 200 dollars per year.

Why is exact match a poor metric for most LLM tasks?

Most useful LLM outputs are open-ended, so two very different strings can both be correct while a near-identical one is wrong, For open-ended generation there is no single correct string. Exact match and other reference-based metrics work for closed-ended tasks like classification or extraction, but for a support answer or a summary you need reference-free grading such as an LLM judge.

In a RAG system, an answer scores high on context relevance but low on faithfulness. What does that tell you?

The retriever found the right documents, but the model is hallucinating claims the documents never made, Context relevance grades the retriever and faithfulness grades whether the model stuck to what it retrieved. High context with low faithfulness means retrieval did its job but the model made things up on top of good context, the most dangerous failure in RAG.

What is the single highest-impact practice for preventing a one-line prompt edit from silently breaking production?

Regression testing: run the eval suite against a versioned golden set in CI on every prompt change, and block the merge if any protected case regresses, Manual spot checks miss the failures hiding in cases you did not try. Treating prompts like code, with an automated eval gate on every pull request against a versioned golden set, catches regressions in minutes instead of weeks and shows exactly which cases broke.

, engineers learning right now

Aryan from Bengaluru unlocked lifetime access · 3 minutes ago

Evaluating LLMs in Production: Grading Answers That Have No Right Answer

Name: System Design Masterclass
Availability: InStock

in Llm Genai Ops

This lesson is part of the ML Platform Engineering course. Unlock the full course, a separate one-time payment, for lifetime access.

Joined by 8,247 engineers since launch

Global

$20/lifetime

One-time payment via PayPal

Get Lifetime Access

5 Foundation lessons free, try before you buy

India Special

India

₹999

Every ML Platform lesson, Foundation to Advanced

Real architecture diagrams with real tool logos

MLOps, LLMOps, and data engineering in depth

Quizzes with instant feedback

Built and reviewed by senior engineers

Lifetime access, all future content included

The first 5 Foundation lessons of this course are free, no payment needed. Try them now