Six tracks. Six weeks each. Ten modules taught live by engineers who ship this work for a living — and a seat that has to be approved before it is yours.
Every track is the same shape — six weeks, ten modules, live classes, a tool stack you will actually be asked about in interviews. What changes is the work at the end of it.
Ship infrastructure like the people who run production.
Defenders and ethical hackers, on call for the real attack surface.
From ML fundamentals to LLM apps shipped to production.
Manual QA to full automation — UI, API and CI shipping every commit.
From zero to shipped — frontend, backend, database, cloud.
Coding interviews mastered — Python, C++ and Java side by side.
Every track above is sold twice. Once as the bootcamp — the live cohort, taught in the room, six weeks of it. Once as that track's labs on their own, for people who do not need teaching, only somewhere real to practise. Same subject, two products, and either can be bought without the other.
Six weeks, ten modules, three evenings a week with an engineer who does this work for a living — plus the full curriculum and InfraBuild Labs platform access. Every application is read by a human before the seat is yours.
Offered on all six tracks. Each fee sits on that track's own page and is read from the billing service the moment you open it, so what you see is what checkout charges.
Pick a trackThe practice half by itself: guided modules in a browser terminal wired to real machines, per-task verification, and a fixed access term shown next to the price. No class to attend, no approval queue, nobody to wait for.
Sold per track, and only once that track's lab content exists to sell. Each card below carries that track's own state — on sale, still being built, or ask us — rather than take your money for an empty room.
Lab workContainers, pipelines, clusters, Terraform state and Grafana dashboards — plus GIT QUEST, the gamified Git module.
Lab workPacket capture, service recon, OWASP Top 10 exploitation, CIS hardening and SIEM hunting against a target host.
Lab workscikit-learn pipelines, PyTorch training loops, transformer fine-tuning, RAG retrieval and agent evaluation.
Lab workPage objects, Playwright traces, Postman collections running in CI, JMeter load profiles and flake triage.
Lab workNext.js routing, validated REST endpoints, Prisma migrations, OAuth flows and Playwright end-to-end runs.
Lab workTwo pointers, sliding window, BFS and DFS, dynamic-programming state design, judged in Python, C++ and Java.
We do not sell seats to everyone who clicks. Applications are reviewed by hand, and you know where you stand at every step.
Pick a track and start the application on the labs platform. It asks who you are, what you have done and what you want next — it takes a couple of minutes.
Pay for the seat through secure checkout. If a partner sent you, their referral code comes off the price right here.
Every application is read by a human. We check the fit before we take you into a cohort, because a room of people at the wrong level helps nobody.
Your labs account opens, the cohort schedule lands, and the first module begins. From there it is three evenings a week.
Tell us where you are now and what you want to be doing in a year. We will tell you which of the six fits, and whether the cohort or the labs is the right half to buy — or that none of them fit yet, which happens and is worth hearing early.