Artificial intelligence is everywhere, but most beginner explanations either stay too shallow or become too technical too quickly. AI Fundamentals Decoded gives readers a clear, practical map of the modern AI landscape.
Inside, readers will learn what AI really means, how machine learning works, why supervised and unsupervised learning matter, how neural networks train, what transformers changed, and how generative AI, NLP, LLMs, and computer vision fit together.
Written for beginners, students, founders, professionals, and curious builders, this book explains the core concepts in plain English with practical examples, checklists, key terms, a glossary, and a 30-day learning plan.
This is not a hype manual and not a dense coding textbook. It is a clear foundation for understanding the AI tools and systems shaping today's software, workplaces, and startups.
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