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Learn how AI works. Then build with it.

Understand models, write better prompts and recognise AI mistakes. Start with short visual lessons, then explore practical answers for building with AI.

Start lesson 1: What is AI? See all 10 lessons

3 minutes to start · No coding or maths needed

330Questions

15Topics

7Chapters

5Question types

Basics · 103Core idea · 164Hands-on · 58Gotchas · 5

This interactive guide works best with JavaScript enabled. Below is a text outline of all 330 questions across 15 topics. See also the advanced AI/ML interview & cloud-cert track, the free visual courses (start with AI Basics) and the plain-English AI glossary.

Start Here — What AI Even Is

AI, Explained for Developers — 20 questions
What Is an LLM, Really? — 21 questions

Talk to a Model

Calling an LLM API (it’s just a POST request) — 28 questions
Prompt Engineering for Builders — 25 questions

Give It Your Own Data

Embeddings & Semantic Search — 20 questions
RAG — Give the Model Your Own Data — 28 questions

Under the Hood — The Math, Visualized

Vectors, Embeddings & Similarity — 22 questions
Matrices & How a Layer Computes — 22 questions
Softmax & the Attention Formula, Demystified — 22 questions

Make It Do Things

Agents & Tool / Function Calling — 29 questions

Ship It

Shipping AI Features to Production — 34 questions
Fine-tuning vs RAG vs Prompting — 15 questions

Widen the Lens

Beyond Text: Images, Vision & Voice — 14 questions
Classic ML in Plain English (the bits you should still know) — 14 questions
The AI Toolkit & Where Cloud Fits — 16 questions

Start where you are.

Every lesson and practice question is free. No account needed.

New to AI Build your understanding

10 visual lessons on models, prompts and AI mistakes. Follow the course in order, with a short quiz at each step.

Explore AI Basics → Ready to build Put AI into your apps

Plain-English answers on LLM APIs, prompting, RAG and agents. Read by topic or practise with flashcards.

Browse 330 questions ↓ Preparing for interviews Test your depth

AI/ML interview and cloud-certification practice, from core concepts to transformers, MLOps and system design.

Open the advanced track →

More visual courses, guides and reference

AI Basics: how AI actually works 10 lessons RAG, explained visually — from zero 8 lessons Generative AI, explained visually 9 lessons AI glossary 75 terms Plain-English guides

The builder question bank

Open a question to see the explanation. Follow the chapters from the basics, or use Search to find a specific idea.

330 questions · 15 topics

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