About the Book:
Are you looking to learn artificial intelligence without getting lost in technical jargon?
Artificial Intelligence Essentials You Always Wanted to Know is a practical and beginner-friendly AI book designed for business professionals, career switchers, tech enthusiasts, and lifelong learners who want to understand how AI works—and how it’s changing the world.
This resourceful guide simplifies complex topics like machine learning, deep learning, and generative AI into easy-to-digest chapters. You’ll explore real-world applications, understand how AI models are built, and gain practical knowledge about the tools driving the AI revolution.
Key Features of the Book
A Clear Introduction to Artificial Intelligence
Understand the evolution of AI, latest trends, and how artificial intelligence is being used across industries—from finance and healthcare to retail and education.
AI Fundamentals Made Simple
Learn how AI solves real-world problems, the differences between supervised, unsupervised, and reinforcement learning, and how models are trained and deployed.
Machine Learning Techniques Explained
Explore key techniques such as regression, classification, and clustering, with guidance on when and how to apply them.
Deep Learning Basics Demystified
Get a clear overview of neural networks, CNNs, and RNNs, and why deep learning is at the heart of today's AI advancements.
Core Domains of Artificial Intelligence Covered
- Natural Language Processing (NLP) – Learn how machines understand and generate human language.
- Computer Vision (CV) – Discover how AI sees the world using object detection and image generation.
- Generative AI – Dive into prompt engineering, LLMs, and real-world creative applications.
Bonus: AI Career Prep Resources
Access a curated list of job interview questions to help you gain a competitive edge in the job market.
Whether you're building a foundation in AI fundamentals, upskilling for a new role, or just curious about the future of technology, this guide offers everything you need to get started with confidence.
My Review:
I am an older person who knew nothing about AI. I jumped on the opportunity to review this book, hoping to learn about a concept quite mysterious to me. I learned a great deal. Granted, there was also a great deal I did not understand but I feel I have a general grasp of the topic. This book is good for those interested in AI regardless of their level of understanding. I just skipped the more technical parts, appreciating the parts laypeople like me can understand.
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. Chapter summaries are included, as are chapter quizzes. This book would be suitable for classroom use.
My rating: 4/5 stars.
This book releases April, 2026.
About the Author:
(My star ratings: 5-I love it, 4-I like it, 3-It's OK, 2-I don't like it, 1-I hate it.)
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