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.

What is the core idea behind a prompt registry?

Treating each prompt as a named, versioned artifact the app looks up at runtime, like a model registry for prompts, A prompt registry treats prompts the way a model registry treats models: every prompt is a named artifact with immutable versions, one tagged as production, and the app requests it by name and version instead of carrying the text.

Why should a new prompt version go through an eval gate and a canary before reaching all users?

Because a wording change is a production change that can silently break output quality, cost, or format, and the gate catches regressions before real users see them, A prompt edit changes what the model does. An eval suite checks it against fixed inputs and blocks regressions versus production, and a canary tests it on a small slice of real traffic, so a bad change bounces back to the author instead of becoming an incident.

Why is the prompt version included in the prompt cache key?

So that shipping a new prompt version does not serve the old version's cached answers for the new prompt, If the cache key ignored the version, a new prompt version would keep returning the previous version's cached completions. Baking the version (and model) into the key gives every prompt change a fresh cache namespace, keeping caching both cheap and correct.

, engineers learning right now

Aryan from Bengaluru unlocked lifetime access · 3 minutes ago

Prompt Management and Versioning: Treat Prompts as Production Code

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/lifetime

One-time via UPI, cards, or net banking

Get Lifetime Access

5 Foundation lessons free, try before you buy

“The interactive diagrams alone are worth way more than the price.”

Anish K., Senior Engineer at a Bengaluru startup

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