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coderin90 Advanced

Become the engineer AI teams compete for.

Interview-gated cohorts in AI data engineering, forward deployed engineering and AI evals. For engineers who want to ship production AI, not collect certificates.

What you leave with

  • A production lakehouse, eval suite or field deployment you can demo
  • A cohort of peers who passed the same bar
  • Interview reps on the questions senior loops actually ask

Open for applications

Applying is free. Tuition is paid once, after you are admitted, by you or your employer (invoice available). coderin90 Advanced is separate from coderin90 Classroom and is not included in Classroom plans.

Data

AI Data Engineering

Databricks, Airflow 3 and cloud for mid-to-senior engineers: one end-to-end lakehouse project, shipped with Asset Bundles and Terraform on AWS and Azure.

$2,400one-time tuition

Field

Forward Deployed Engineering

Ship AI into a client's real systems: scope with the customer, build in their stack, and own the outcome after go-live.

$2,900one-time tuition

Quality

AI Evaluations

Prove an LLM app or agent works before and after release: tracing, eval datasets, LLM-as-judge and regression tests in CI, with LangSmith, LangChain and DeepEval.

$1,800one-time tuition

Built for builders

Stop watching tutorials. Ship production AI.

The best AI teams don't hire people who finished a course. They hire people who shipped. Every Advanced cohort is designed around one thing: what you can show on day one of the new job.

  • The barInterview-gated, not pay-to-enterEveryone in your cohort passed the same live coding interview. Your peers are the network.
  • The workYour repo. Your agent.You learn on real changes in real code, briefing and overriding AI agents the way frontier teams do.
  • The proofPortfolio over paperLeave with a lakehouse, an eval suite or a field deployment you can demo in any interview loop.
  • The roleTrain for forward deployedFDEs are how AI gets into real companies. Learn the half of the job no bootcamp teaches.

Alumni ship at

  • Amazon
  • Google
  • Klarna
  • Spotify
  • SEB
  • and more

For forward deployed engineers

Half engineer, half consultant, on the client's side of the table.

Forward deployed engineers take AI from a demo into a customer's production systems. This track trains the parts a normal course skips: scoping with people who aren't engineers, working inside someone else's stack and rules, and proving the system works after you leave.

Request a place on the FDE track
  1. 01Discovery with the clientTurn a vague ask into a scoped problem, a success measure and a first deliverable.
  2. 02Build in their stackTheir cloud, their data, their security review. Integrate, don't rebuild.
  3. 03Agents you can trustEvaluation, guardrails and the places a human has to stay in the loop.
  4. 04Hand-over and ownershipRunbooks, monitoring, and a client team that can run it without you.

How admission works

Three steps, all online. A person reads your results before any decision.

  1. 01

    Application

    Your background, what you build at work, and what you want out of the course.

  2. 02

    Readiness quiz

    Checks the fundamentals the course builds on. Missed some? You get the lessons to close the gap and a retake.

  3. 03

    Live coding interview

    You make a real change in your own repo with your own coding agent while an AI interviewer asks how you briefed it, checked it and overrode it. An instructor approves the report.

Next cohorts

Request a place

Pick a course, or tell us you want whatever Advanced runs next. When a cohort opens, you get the application first, then the quiz and the interview.

Course

One email when it opens. Unsubscribe in one click.

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