Artificial Intelligence
Artificial intelligence is the most important technology of our time. This is the book that finally makes it clear.
Most explanations of AI leave you with two bad options: breathless hype that explains nothing, or dense mathematics that assumes you already understand. Artificial Intelligence: Volume I, Core Concepts takes a third path, the one you actually need. It starts from the problem each idea solves, builds your intuition, makes it visual, and only then, once it has earned its place, brings in the mathematics.
The result is a clear, honest course that takes you from "what even is this?" to a real understanding of how modern AI works, with no prior background in AI, mathematics, or programming assumed.
Across twenty-four self-contained modules, you will move through the whole of the modern field: what AI is and how it learns, the history that shaped it, why data decides everything, neural networks, transformers, large language models, generative AI, and how real systems are actually built, deployed, and used responsibly. Every module answers the same six questions, so that by the end you hold not a bag of tricks but a map, the judgement to know when each tool belongs, and when it does not.
This is a hands-on course, not a spectator's guide. You will write and run real Python yourself, built from scratch, and every method is taught with its failure modes attached, because knowing when a tool breaks matters as much as knowing how it works.
Who it is for: students, professionals in any field, managers who want to see past the marketing, and anyone curious enough to want the real picture rather than the headlines.
Volume I of the Foundations of Artificial Intelligence series, a structured path from first principles to real-world systems.
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