Grokking AI Algorithms, Second Edition: How AI solves complex...

Description

Grokking AI Algorithms, Second Edition: How AI solves complex problems

Build a strong understanding of modern AI by mastering the algorithms that power intelligent systems—from search and neural networks to large language models and generative AI.

Grokking AI Algorithms, Second Edition is a hands-on introduction to the core algorithms behind today’s artificial intelligence. Designed to make complex concepts approachable, this practical guide combines intuitive explanations, visual illustrations, real-world examples, and step-by-step coding exercises to help readers understand how AI systems learn, reason, optimize, and generate content.

Rather than simply teaching how to use AI tools, the book explains why different algorithms work and when to apply them. Readers learn how to identify different categories of AI problems, choose the most appropriate algorithm for each task, and implement effective solutions through clear pseudocode, practical projects, and easy-to-follow programming examples.

This fully updated second edition expands its coverage to include the latest advances in generative AI, featuring new chapters on large language models (LLMs), image generation, and modern AI architectures while preserving its accessible, visual learning style.

Throughout the book, readers strengthen their understanding by working through engaging end-to-end projects, including intelligent search, optimization, machine learning, reinforcement learning, and generative AI applications.

What You’ll Learn

• Choose the right algorithm for a wide range of AI problems.
• Understand the fundamentals of search—the foundation of intelligent systems.
• Build intelligent agents capable of solving complex puzzles and planning tasks.
• Explore evolutionary computing and genetic algorithms for optimization.
• Learn how neural networks make predictions and recognize patterns.
• Discover how reinforcement learning enables AI to improve through experience.
• Build the foundations of large language model (LLM) pipelines and diffusion-based image generation systems.
• Gain practical intuition for designing, implementing, and evaluating AI solutions.

Topics Covered

• AI fundamentals and problem-solving strategies
• Classical and intelligent search algorithms
• Evolutionary computing and genetic algorithms
• Swarm intelligence, including ant colony and particle swarm optimization
• Machine learning principles
• Artificial neural networks and deep learning
• Reinforcement learning
• Large language models (LLMs)
• Generative image models and diffusion techniques

Written in clear, beginner-friendly language, the book requires only basic programming experience and high-school-level mathematics, making it an ideal starting point for software developers, students, engineers, and technology enthusiasts eager to understand the algorithms driving today’s AI revolution.

Whether you’re building intelligent applications, exploring machine learning, or taking your first steps into generative AI, Grokking AI Algorithms, Second Edition provides the knowledge and practical skills needed to confidently navigate the rapidly evolving world of artificial intelligence.