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karnstack
deep technical courses

invest in AI capability now. it compounds.

engineering mastery for the AI era.

AI writes code. you architect systems. deep technical courses and build-along projects for engineers who want to stay valuable as the job shifts under our feet.

free preview lesson on every course. no credit card.

why karnstack

AI can write code. what it can’t do is understand how the whole system fits together -- how services connect, where failures cascade, why one tradeoff matters more than another. that’s systems thinking, and it’s the skill that compounds fastest right now.

the engineers who thrive with AI aren’t the ones writing more code. they’re the ones who know what to ask for and can review what comes back with the judgment that only comes from fundamentals.

karnstack is a small catalog of deep technical courses for that kind of engineer. every course is first-principles, long-form, and dense on purpose. no bootcamp filler, no summaries of summaries.

trusted by engineers at

courses

9 courses
published

distributed systems in a day

AI writes code. you architect systems. 24 lessons across 6 modules, first principles, no hand-waving.

24
lessons
6
modules
4 hours
runtime
open course
published

papers every engineer should know

15 classic and modern papers that shaped how we build software, walked through one at a time. close-read, no summaries.

15
papers
5
modules
5 hours
runtime
open course
published

data structures & algorithms (foundations)

the 80% every engineer needs, from first principles. complexity, the memory hierarchy, the core structures, and the algorithms built on each. part 1 of 3.

17
lessons
5
modules
4.5 hours
runtime
open course
recording now

go foundations

from hello world to a tested, concurrent http service. you build feedstack, a real feed aggregator, one lesson at a time.

32
lessons
6
modules
~6 hours
runtime
preview course
in planning

data structures & algorithms (patterns)

the structures that run production and the patterns that close interviews. balanced trees, b-trees, graphs, and dynamic programming. part 2 of 3.

19
lessons
5
modules
~4 hours
runtime
preview course
in planning

data structures & algorithms (legend)

contest-grade algorithms, mapped onto cp-algorithms. segment trees, suffix automata, max flow, fft, and the dp optimizations that win icpc and codeforces. part 3 of 3.

28
lessons
6
modules
~6 hours
runtime
preview course
in planning

ai-native system design (foundations)

design perplexity on a whiteboard. inference internals, retrieval, evals, reliability, and cost engineering. first principles, paper-backed.

26
lessons
7
modules
~14 hours
runtime
preview course
in planning

building production agents

design cursor on a whiteboard. agent loops, tool use, durable runtimes, sandboxing, and agent-specific evals.

13
lessons
4
modules
~7 hours
runtime
preview course
in planning

ai engineer pro

specialist ai systems where the agent layer alone isn't enough. voice agents, multimodal, long-context vs rag, computer use, and on-device inference.

5
lessons
2
modules
~3 hours
runtime
preview course
build your own x

build the primitive. prove you can.

paper-backed starter repos for the backend primitives you ship at work. fork, build locally in go, python, or typescript, then push -- github actions verifies every stage and mints a credential anyone can trace.

  • paper-backed: every primitive maps to the paper it came from.
  • multi-language: go, python, and typescript from one spec.
  • oidc-verified: the credential is signed by github, not handed out.
start building
karnstack credential
karnstack:byox:bloom-filter
verified
language
go
stages
6 / 6
proof
github oidc

engineers who took it

notes from a few learners across backend, systems, and frontend roles.

I've been working as a backend engineer for a while, and most of my system design understanding came from scattered blogs, docs, and bits of papers. Karnstack helped bring that into a much clearer structure.

The papers-to-course format worked really well, ideas I'd seen before but never explored properly. Rollback makes it easy to stay updated without spending time filtering noise.

Overall, it's helped me approach design discussions with more clarity and context.

anamika
anamika
lead software engineer at headout

The course hits that sweet spot between depth and breadth of the topics involved in distributed systems, making it a great way to learn/revisit the fundamentals. Its interactive simulators and quizzes keep things fun and engaging while leveling up the architectural intuition from first principles.

bala vijaya krishna saladi
bala vijaya krishna saladi
software engineer at amazon

I'm a frontend engineer who'd been faking my way through system design conversations for years. This course is the first thing that actually closed the gap. The communication module alone, tcp, tls, service discovery cleared up more than every half-read blog post combined. Now I can sit in a design review and actually follow what the backend folks are arguing about.

karandeep singh
karandeep singh
senior frontend engineer at appbrew

questions?

the usual stuff -- format, access, refunds. if you don’t see yours, mail me directly.

mail@karnstack.com
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every course, every build, verified certificates, and everything i ship next -- unlocked by a single plan. no tiers. launch pricing, locked in for as long as you stay.