$ learnstaq --init
→ loading system design, QA, and AI engineering curricula...
→ built from production, not slideware. ready.

Learn how systems actually get built, tested, and shipped.

Free, open curricula on GitHub for system design, QA/QE, LLD, and AI engineering — written from real production experience. Premium cohorts and deep-dive tracks for anyone ready to go further.

$ free --list

Free, open, on GitHub

No login required to read. Star it if it helps — that's what keeps this growing.

$ premium --list

Go further

Deeper tracks, real feedback, and implementation support — for when free content isn't enough.

$ paths --show --status

Learning paths, not just topics

Pick the ladder that matches where you're headed. Status shown honestly — some are fully built, some are just the map so far.

● live
Manual QA SDET / Automation Engineer AI Test Engineer 🔒
◐ partial
Software Developer Forward Deployed Engineer 🔒
Other common branches exist too (backend, full-stack, SRE) — FDE is our featured track.
◐ partial
AI Engineer
Rarely a direct fresher path in practice — usually reached via a software engineering or data foundation first.
◐ partial
Data Scientist
Same honest note as AI Engineer — a stats/SWE foundation typically comes first.
○ planned
DevOps AIOps / Platform Engineering
"AIOps" is the term the industry actually uses, not "AI DevOps."
◐ partial
SecOps AI-Augmented SOC
◐ partial
Ethical Hacker / Pentester AI Red Teamer
Connects directly to the guardrails/prompt-injection testing already in AI Test Engineering.
○ planned
Network Engineer AI-Driven Networking
Real, but lowest priority right now — no dedicated content yet.
$ interview-prep --list

Interview Prep

Every interview-prep track across the repos, in one place. Mock AI interviews — coming soon.