Learn Artificial Intelligence, Step by Step
This learning path explains artificial intelligence in plain language: what it is, where it comes from, how it works, how it is built, how it learns, and how to use it wisely. Each guide includes diagrams, verified dates, the names of the researchers who shaped the field, an FAQ and cited sources. No prior knowledge is required.
Where should you start?
If you are new to the topic, read the guides in the suggested order: they build on one another. If you have a specific need, jump straight to the relevant guide, or look up a term in the glossary.
The learning path in 9 guides
What Is Artificial Intelligence?
A clear definition of AI, how it differs from machine learning and deep learning, everyday examples, and common myths. A guide for beginners.
8 min read · Read the guide →2HistoryHistory of Artificial Intelligence: From Turing to ChatGPT
The AI timeline, from Turing (1950) and Dartmouth (1956) to AI winters, AlexNet, AlphaGo, Transformers, and ChatGPT (2022). Dates, names, verified facts.
10 min read · Read the guide →3How it worksHow Does Artificial Intelligence Work?
Artificial neurons, weights, layers, parameters: understand how AI and neural networks work without complicated math, with diagrams and analogies.
9 min read · Read the guide →4LearningHow Does AI Learn?
Supervised, unsupervised and reinforcement learning, gradient descent, backpropagation, RLHF: see how AI learns, with simple analogies and real examples.
9 min read · Read the guide →5BuildingHow Is Artificial Intelligence Built?
From data collection to deployment: the steps to build a modern AI (pretraining, fine-tuning, alignment, evaluation), plus GPUs, costs and energy use.
10 min read · Read the guide →6Language modelsHow Does ChatGPT Work? Large Language Models Explained
Tokens, next-word prediction, the Transformer, attention, context windows, hallucinations: learn how ChatGPT, Claude, Gemini and other LLMs work.
10 min read · Read the guide →7Generative AIGenerative AI: How an AI Creates Images, Videos and Sound
GANs, diffusion models, Stable Diffusion, Midjourney, DALL-E, voice and video synthesis: learn how generative AI creates images, voices and videos, and where it falls short.
9 min read · Read the guide →8Risks and rulesThe Limits, Risks and Regulation of Artificial Intelligence
Hallucinations, bias, privacy, copyright, energy: the limits and risks of AI, and what the EU AI Act provides, with its application dates.
11 min read · Read the guide →9Putting it into practiceHow to Use AI Well: The Beginner's Guide
How to write a good prompt, choose an AI tool, check answers and protect your data: the practical guide to getting started with ChatGPT, Claude, Gemini and more.
8 min read · Read the guide →AI Glossary
More than 40 key terms explained simply, with links back to the guides.
Read the guide →Why trust these guides?
- Dates, names and figures checked against sources cited at the end of each guide.
- Editorial content independent of CheblAI: no commercial relationship influences the explanations.
- Updated regularly; the date of the last update is shown on every page.
- Available in French, English and Chinese.
Frequently asked questions
Do I need computer science or math skills to follow this learning path?
No. The guides are written for beginners, with analogies and diagrams. You don’t need any math formulas to understand the main ideas.
How long does it take to go through all the guides?
Each guide takes 8 to 11 minutes to read, so about an hour and a half for the whole learning path.
Are these guides free?
Yes, completely free and with no sign-up required.