AI Engineering Readiness
30 minutes. A map that changes what you do next.
We measure the AI delta that gets you hired. Real-world questions across the five areas where AI Engineering is decided, each measured to high confidence. You leave with an area-by-area readiness profile and the exact courses to close every gap. Free. Private.
Sign in to start — it's freeThe assessment
What you’ll actually face.
Five short modules — one per area — each adapting from the basics up to the job-ready bar. Around 12–30 questions in total, about 30 minutes. No trivia. Every question is grounded in a real scenario — the kind of thing you’d face on the job.
A real production situation — broken agent loop, bad retrieval results, a safety gap. You pick the most surgical fix under the stated constraints.
Example
“Your RAG pipeline is returning chunks that pass similarity thresholds but fail fact-verification. The most targeted fix before reranking is…”
A short snippet, diff, or agent execution trace with a planted defect. You name the defect or the most precise repair.
Example
chunks = sorted(chunks, key=lambda c: len(c.text), reverse=True) prompt = build_prompt(chunks[:5]) → What is the most likely problem?
A cost or latency calculation, a missing schema field, a regex or SQL fragment. Far harder to guess than four-option MCQ.
Example
“An LLM-as-judge scores 200 responses. It agrees with human raters on 150. What is the agreement rate?”
No clock, no rush. There’s no timer and no minimum — take all the time you want on every question. The ~30 minutes is just a typical pace, not a limit. Accuracy is all that matters here.
The report
What you walk away with.
An immediate, domain-by-domain readiness profile. Not a score out of 100 — a map of where you are and exactly what moves next.
Area levels you can act on
Each of the five areas is placed on the L0–L3 ladder — Getting started, Foundations, Developing, and Job-ready (the bar) — by how high you climb in its module. The dashed line on every bar is the L3 threshold. You're Job-ready overall when all five clear it.
Role-fit summary
A derived signal from your domain profile: Agentic-fit, how you'd do in an Agentic AI Engineer role. It's an explanatory pattern, not a separate verdict — it helps you understand what your profile points toward.
Gap-matched course routing
Every area below the Job-ready bar emits a ranked list of courses — hand-picked from the best providers in the world, matched to your specific gap. No generic recommendations. Each course closes a named area.
L0 Getting started · L1 Foundations · L2 Developing · L3 Job‑ready (the bar)
Sample report
Developing.
Strong where it counts — two areas to close to reach Job-ready.
The courses
Gaps become a plan.
Independent by design: every gap in your report maps directly to the best course in the world for closing it — hand-picked from providers builders actually trust.
Ready to see your map?
It’s free. Results stay private. About 30 minutes — one focused session.
Sign in to start — it's free