Skip to content
Free skill check

Are you ready to be an AI Engineer?Free Generative AI skill check.

The Generative AI skill check is five multiple-choice questions, one each on LLM fundamentals, RAG, Inference controls, AI safety and Embeddings. 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 another course

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.

Your checkGenerative AI5 questions · about 3 minutes

Sign up free to start. Your answers are graded when you finish and saved to your record.

About the check

The Generative AI 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.

Generative AI is transforming every industry. Companies are hiring AI Engineers who can build with large language models, design retrieval-augmented generation pipelines, and ship safe, reliable AI products. But the field moves fast — skills that were cutting-edge six months ago are table stakes today.

This 3-minute snapshot tests five core areas that hiring managers look for: LLM fundamentals, RAG architecture, inference controls, AI safety, and embeddings. It won't replace a full technical interview, but it will tell you where you stand and where to focus.

Whether you're a software engineer pivoting into AI, a data scientist expanding your toolkit, or a student choosing your first specialisation, this diagnostic gives you an honest starting point.

  • LLM fundamentals

    Understanding how models process context is the foundation of every AI engineering role.

  • RAG

    RAG pipelines are how production AI systems stay grounded in real data.

  • Inference controls

    Tuning temperature and sampling is essential for reliable AI outputs.

  • AI safety

    Defending against prompt injection separates prototypes from production systems.

  • Embeddings

    Semantic search and retrieval depend on understanding vector representations.

Question 1 of 5 · LLM fundamentals

What does a large language model do at each step as it writes a reply?

  • ALooks the answer up in a database
  • BPredicts the next token from the text so far
  • CRuns a web search for every sentence
  • DCopies a sentence from its training data
Free · about 3 minutes
Which path is this for

“Learn AI” means three things.This check tests one of them.

It tests how LLM products are built: context, retrieval, sampling, prompt-injection defence and embeddings. No training maths.

  • 01

    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.

    Take the Machine Learning check
  • 02This check

    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.

  • 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
How the check works

Three steps.About three minutes.

It is free and nothing is booked. Save the report to keep it on your account.

  1. 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.

  2. 02

    Answer five questions

    One question per topic, four options each. Nothing is marked until you finish.

  3. 03

    See your readiness

    Your readiness out of 10, a skill map, every answer explained, and the path through the course.

Learn it by building it

Programmes that build on this check.Your result shows where to start.

Each one teaches Generative AI by building, and ends in deployed work graded against a rubric you can read.

Questions

Before you start.Three quick answers.

  • How long does the AI skill check take?

    About 3 minutes. Five multiple-choice questions, instant results. You sign up as a student first, free.

  • What topics does it cover?

    LLM fundamentals, retrieval-augmented generation (RAG), inference controls like temperature, prompt injection defence, and embeddings for semantic search.

  • Is this a certification?

    No — it's a quick skill snapshot to help you identify gaps. For a full AI-graded assessment with a personalised learning plan, take the free full assessment after signing up.

Rather talk to a person?

Tell us what you want to do with AI. We’ll suggest a programme on a 15-minute call.