Grokking AI Algorithms, Second Edition: How AI Solves Complex Problems

Search, learning, optimization, and generative AI can seem like separate worlds. Grokking AI Algorithms, Second Edition connects them by explaining the algorithms behind these approaches—and how to think about choosing one for a given problem. Rishal Hurbans uses visual explanations, practical examples, pseudocode, and code to make the mechanics easier to follow.

From search to generative AI

The book moves step by step through 12 subjects: AI fundamentals and search, intelligent search, evolutionary methods, ant and particle swarm intelligence, machine learning, artificial neural networks, reinforcement learning, large language models, and generative image models. That broad progression gives readers a way to see how familiar problem-solving ideas lead into modern AI systems.

Understand the choices behind the code 💡

Rather than treating an algorithm as a black box, the book focuses on the reasoning behind it: what kinds of problems an approach can address, how it works, and how to put it into practice. The combination of explanation and implementation can help readers build a working mental model, not just recognize terminology.

A practical foundation for curious developers

This edition is intended for readers with beginning-to-intermediate programming skills and a high-school level of mathematics. Previous experience with AI is not required. Its wide-ranging subject matter makes it relevant to developers and technology learners who want an approachable route into core AI algorithms, including newer methods for text and image generation.

Explore the algorithms shaping AI

With new chapters on large language models and generative image models, this second edition extends its tour from foundational search techniques to current generative approaches. Read it to build intuition across the field and better understand the methods behind AI-powered applications.