Are you ready to be an ML Engineer?Free Machine Learning skill check.
The Machine Learning skill check is five multiple-choice questions, one each on Generalisation, Evaluation, Metrics, Optimisation and Regularisation. It is free, takes about three minutes, and grades you from Novice to Expert with every answer explained.
- 5 questions
- About 3 minutes
- Free
Choose a course
Every course in the AI Tutor has its own check: five questions, one per topic.
Career tracks 11 courses
For a new role: engineer, scientist, analyst or builder.
Sign up free to start. Your answers are graded when you finish and saved to your record.
The Machine Learning skill check.Five topics, one question each.
Question 1 is below exactly as the check asks it. The answer, and why it is right, come with your result.
Machine learning engineers are among the most sought-after roles in tech. But the gap between completing a tutorial and being job-ready is wider than most people realise. Employers want engineers who understand not just how to call sklearn, but why a model overfits, when accuracy is the wrong metric, and how regularisation actually works.
This quick diagnostic tests five foundational ML concepts that separate beginners from practitioners: generalisation, honest evaluation, metric selection for imbalanced data, gradient-based optimisation, and regularisation techniques.
It takes about 3 minutes with a free student account, and gives you an immediate snapshot of where you stand on the ML readiness spectrum.
- Generalisation
Knowing why models overfit is the first thing interviewers test.
- Evaluation
Honest evaluation methodology separates reliable models from lucky ones.
- Metrics
Choosing the right metric for imbalanced data is a common interview trap.
- Optimisation
Understanding gradient descent is essential for debugging training issues.
- Regularisation
Regularisation is your primary tool against overfitting in practice.
A model scores 99% on training data and 70% on validation data. What is most likely happening?
- AUnderfitting
- BOverfitting
- CThe validation set is too large
- DThe model is perfect
“Learn AI” means three things.This check tests one of them.
It tests how models learn and how to judge them: generalisation, evaluation, metrics, optimisation and regularisation.
- 01This check
Machine learning foundations
How models learn from data: the statistics, training and evaluation underneath them.
For you ifyou want to train and judge models, as an ML engineer or data scientist.
- 02
Applied LLM engineering
Building software on models like Claude and GPT: prompts, retrieval, agents, evals and shipping.
For you ifyou write code and want to build AI features, not train models from scratch.
Take the Generative AI check - 03
AI for your job
Using AI tools well in the work you already do: briefing them, checking what comes back, keeping data safe.
For you ifyou do not plan to code and want AI to make the work you do faster and better.
Take the AI for Operations check
Three steps.About three minutes.
It is free and nothing is booked. Save the report to keep it on your account.
- 01
Pick a course
Any of the 21 courses in the AI Tutor, from Generative AI to AI for Teachers. Each check covers five topics.
- 02
Answer five questions
One question per topic, four options each. Nothing is marked until you finish.
- 03
See your readiness
Your readiness out of 10, a skill map, every answer explained, and the path through the course.
Programmes that build on this check.Your result shows where to start.
Each one teaches Machine Learning by building, and ends in deployed work graded against a rubric you can read.
Before you start.Three quick answers.
What ML topics does this test?
Overfitting and generalisation, train/test splitting, metrics for imbalanced datasets, gradient descent, and regularisation (L1/L2).
Do I need coding experience?
No code is required for this quick check. The full assessment includes hands-on coding challenges.
How is this different from the full assessment?
This is a 5-question snapshot. The full assessment has 20 questions including code exercises, is AI-graded, and builds a personalised learning plan.
Rather talk to a person?
Tell us what you want to do with AI. We’ll suggest a programme on a 15-minute call.