Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice.
- Learn how to pick the right algorithm for each AI problem.
- Understand the fundamentals of search, which is the foundation of modern AI.
- Build intelligent agents to solve puzzles and find solutions using genetic algorithms.
- Make predictions with neural networks and see how AI improves with reinforcement learning.
- Build a large language model pipeline and an image diffusion model from scratch.
Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated.
After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed.
Table of Contents:
1 INTUITION OF AI
2 SEARCH FUNDAMENTALS
3 INTELLIGENT SEARCH
4 EVOLUTIONARY ALGORITHMS
5 ADVANCED EVOLUTIONARY APPROACHES
6 SWARM INTELLIGENCE: ANTS
7 SWARM INTELLIGENCE: PARTICLES
8 MACHINE LEARNING
9 ARTIFICIAL NEURAL NETWORKS
10 REINFORCEMENT LEARNING
11 LARGE LANGUAGE MODELS (LLMS)
12 GENERATIVE IMAGE MODELS
About the Author :
Rishal Hurbans is a technologist, founder and international speaker. He is known for making complex AI concepts accessible. With experience building technology and explaining it to a global audience, he brings a clear and practical style to every page. He translates core AI theory into simple explanations that help developers build real-world applications with confidence.
Review :
- “Clear writing and fun examples make the ideas stick in a way that feels effortless.”
Luis Serrano, Author of Grokking Machine Learning
- “Builds the intuition needed to reason about the systems that will increasingly shape our world.”
Nathan Lands, Lore
