Artificial Intelligence Essentials You Always Wanted to Know: Master AI Fundamentals, ML Techniques

Learn AI, Machine Learning, and Deep Learning in One Easy-to-Understand Guide

Artificial Intelligence is transforming the way we live, work, and interact-but understanding it doesn't have to be overwhelming.

Artificial Intelligence Essentials You Always Wanted to Know is a clear, engaging, and practical introduction to AI-perfect for business professionals, career switchers, tech enthusiasts, and lifelong learners.

From understanding how AI models are built to exploring cutting-edge technologies like Neural Networks and Generative AI, each chapter breaks down complex ideas into manageable sections-complete with summaries and quizzes to reinforce key learnings.

Key Features of the Book

A Clear Introduction to AI

Learn how AI has evolved and how it's transforming industries from finance and healthcare to retail and education.

Foundational Concepts Made Simple

Understand how AI solves problems, the three core learning paradigms, and the basics of model development.

Machine Learning Techniques Explained

Dive into key methods like regression, classification, and clustering, and discover when to apply them in real-world scenarios.

Deep Learning Demystified

Explore neural networks, CNNs, and RNNs, and understand how deep learning is driving innovation in various fields.

Explore Core AI Domains

Natural Language Processing (NLP) - Learn how machines process and generate human language.
Computer Vision (CV) - Discover how AI understands the visual world.
Generative AI - Learn the basics of prompt engineering, large language models (LLMs), and content creation.
Bonus: Online Job Prep Support

Access exclusive interview questions to help you prepare for roles in a rapidly growing job market.

Take the first step toward mastering AI and equip yourself for the future that's already unfolding.

Karthik Chandrakant is a TEDx speaker and AI leader with 13+ years at Amazon and Mu Sigma, known for demystifying AI and mentoring future innovators.

The author breaks down complex architectures into actionable insights, making it the perfect guide for both beginners and experts. A must-read for any professional working in the AI space looking to stay at the forefront of language model innovation.

-- Mani Garlapati, Sr. Technical Program Manager, Google

This works as an excellent textbook, moving up the ladder of complexity of concepts necessary for anybody wanting to be an AI Engineer. The real-life examples at the end of each section are a must read.

-- Kalpit Bhawalkar, Head of AI, Konverge AI

This book offers a systematic, instructor-ready framework that prepares students for meaningful AI use in professional settings. By grounding instruction in concrete examples, relevant conceptual distinctions, and applied decision-making frameworks, it avoids surface-level tool training and instead cultivates disciplined and principled thinking. The result is a learning experience that enables instructors to teach with intention and students to develop the practical, ethical competence required to embed AI responsibly into real business workflows.

-- Karl R. LaPan

Director, UF Innovate Accelerate

The University of Florida

What stayed with me most is how human the book feels. AI isn't treated as a cold, distant force but as something shaped by human choices, data and values. The reminder running through the book is simple and lasting; AI reflects us.

-- Himsekha Rai, NetGalley Reviewer

This book is good for those interested in AI regardless of their level of understanding.

I learned the history, how the concept was developed. I learned about the vast amounts of data required and about the various ways of organizing and interpreting data for productive use. I appreciate the practical examples, such as how email programs identify spam and how visual recognition programs work. As the programs advanced, examples of how programs recognize and interpret human speech are given and how generative programs can create text and images.

I also learned that the programs can make mistakes with a few examples given. The latest programs available are listed with suggestions for use depending on what an individual wants to do with it. The ethical issues are also covered, giving examples of how the programs can be used to deceive people.

This is a very interesting book, much of it understandable by people not involved in programming.

-- Joan Nienhuis, Reviewer, Book Reviews from an Avid Reader

It's the kind of guide that builds confidence as you read, and I finished it feeling informed, less intimidated, and genuinely excited about how AI fits into everyday life.

-- Marta Petticoat, NetGalley Reviewer

A concise yet comprehensive guide covering the full spectrum of modern AI, from core ML/DL to the latest in GenAI and ethics. Highly recommended for building foundational literacy.

-- Vinodh Balaraman, Co-founder & CEO, KolateAI Inc