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Title: AI: Unboxed - From Foundations to Real-World Impact
Author: Hrushik Perumalla, Aproksha Technologies.

The book aims to demystify Artificial Intelligence. It is designed to sit right in the middle between overhyped, superficial summaries and dense, heavily theoretical textbooks. The author's promise is that by the end of the book, AI will no longer feel like a mystery or "magic" black box, but rather a set of tools you can understand, use, and critique with confidence.

It is written for curious beginners, students, and working professionals. You do not need to be a mathematician or an experienced programmer to read it; any required math and coding concepts are explained step-by-step with intuition first.

The book is divided into six main parts:

1. Introduction: Covers what AI is, where it came from, and why it exploded in popularity during the 2010s.
2. The Math You Actually Need: Teaches only the mathematics and programming that machine learning truly requires, focusing on intuition.
3. Machine Learning: Explains how machines learn patterns from data and how to evaluate if they've genuinely learned anything useful.
4. Deep Learning: Dives into neural networks, starting from a single neuron all the way up to complex architectures like transformers.
5. Advanced Topics and Applications: Covers cutting-edge areas like generative models, reinforcement learning, Large Language Models (LLMs), and the practicalities of running AI in the real world.
6. The Future of AI: Discusses future trends, risks, ethics, and what AI means for society moving forward.

Overall, it's a comprehensive yet accessible guide to understanding both the theoretical foundations and the real-world applications of modern AI!