Free · visual · no math · no signup

Learn AI from zero — then build with it.

Start with short animated lessons anyone can follow, even with no background. Then go as deep as you like: plain-English answers for developers on LLM APIs, prompting, RAG and agents, an interactive Math Lab, and full interview and certification prep. Every term explained.

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 here

Pick your path

Three ways in. All free, no signup, and you can switch any time.

Total beginner Understand how AI actually works

Ten short animated lessons anyone can follow — what AI is, how machines learn, how ChatGPT works, how to prompt it, where it goes wrong. No math, no coding.

Start the AI Basics course → Developer Build AI into your apps

330 plain-English questions and answers, from "what is a model" to calling an LLM API, prompting, RAG, agents and shipping to production. Start at Chapter 1 below.

Jump to the question bank ↓ Interviews & certs Go deep and get hired

445 tiered AI/ML interview questions with answers, plus AWS, Azure and GCP AI-certification practice — transformers, MLOps, system design.

Open the advanced track →

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

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