Abstract neural network with glowing violet nodes representing artificial intelligence

A free, example-driven ebook

Learn Artificial Intelligence by running real examples

From the fundamentals of AI to neural networks and hands-on Python code — AIbyExamples turns abstract theory into snippets you can copy, run, and understand.

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Eight chapters across three learning paths

Follow the recommended path from foundations to cutting edge, or jump straight to the discipline you need.

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Foundations

5 chapters

Start here — build your AI vocabulary and mental models

8 minCh 1

Introduction to Artificial Intelligence

What AI really is, a short history of the field, and where it shows up in the products you use every day.

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22 minCh 2

Statistics & Probability Foundations

The essential math behind AI — descriptive statistics, probability, distributions, and hypothesis testing with hands-on Python examples.

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11 minCh 3

Machine Learning Basics

The core vocabulary of ML: features, labels, training, and the difference between supervised and unsupervised learning — with runnable examples.

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12 minCh 4

Neural Networks Fundamentals

How artificial neurons work, how layers stack into networks, and how training with backpropagation actually adjusts the weights.

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13 minCh 5

Practical Code Examples

Copy-paste-ready Python examples for classification, image recognition, text sentiment, and calling a modern language model.

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Specializations

2 chapters

Dive deep into the major AI disciplines

12 minCh 6

Natural Language Processing

How computers understand, generate, and translate human language — from tokenization to transformers.

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11 minCh 7

Computer Vision

Teaching machines to see — from pixel grids to image classification, object detection, and real-world applications.

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Cutting Edge

1 chapter

The latest breakthroughs shaping the future

13 minCh 8

Generative AI & Large Language Models

The technology behind ChatGPT, image generators, and the new wave of creative AI — how it works and how to use it responsibly.

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Why learn with AIbyExamples?

Theory is easy to forget. Working code sticks.

Copy-paste-ready code

Every concept comes with a short, runnable Python snippet you can drop straight into a notebook.

Beginner to intermediate

Concepts are built up from zero — no PhD required. Just curiosity and a little Python.

Instant full-text search

Press ⌘K anywhere to jump to any topic, concept or code example in seconds.

Structured learning path

Three themed sections guide you from foundations through specializations to cutting-edge AI.

Ready to write your first AI code?

Start with the fundamentals and finish by calling a real language model — all in a single sitting.

Begin Chapter 1