Building AI-Powered Games from Scratch

"Building AI-Powered Games from Scratch" is a comprehensive, practical guide designed to teach students, hobbyists, and aspiring developers how to build Artificial Intelligence systems for games from the ground up. It methodically moves from foundational principles to advanced machine learning techniques, with a relentless focus on hands-on implementation.


Philosophy

The core philosophy of this book is "Code First, Theory Second." I believe the most effective way to understand complex AI concepts is to build them. Instead of getting bogged down in dense academic theory, each topic is introduced through a clear, practical problem in a game context. I then immediately proceed to design, code, and implement a solution. This approach ensures that the learning is tangible, memorable, and directly applicable to real-world development scenarios. We prioritize clarity and simplicity, breaking down sophisticated topics into manageable, easy-to-digest steps.


Key Features

1. Strictly Project-Oriented: Focuses entirely on the practical application of AI in game development.

2. Beginner-Friendly Algorithms: All algorithms are explained in the simplest possible terms, with a focus on intuition over mathematical rigor.

3. Complete Code Examples: Provides full, working code for all examples and projects.

4. From Classic to Modern AI: Covers the full spectrum, from traditional techniques like A* Pathfinding and Behavior Trees to modern approaches like Reinforcement Learning and Procedural Content Generation.

5. Hands-On Practicals: Includes practical exercises and mini-challenges in each chapter to reinforce learning.


To Whom This Book Is For

This book is written for:

1. Undergraduate and Postgraduate Students (B.Tech/M.Tech): Computer Science and Engineering students looking for a practical, syllabus-compliant resource on AI and its applications.

2. Aspiring Game Developers: Individuals who know how to program but want to learn how to make their games more intelligent and dynamic.

3. Software Developers and Hobbyists: Programmers interested in exploring a fun, engaging, and challenging application domain for AI and machine learning.

4. AI Enthusiasts: Individuals with a theoretical understanding of AI who want to see how these concepts are applied in a real-world, interactive context.


A basic understanding of programming, preferably in Python, is the only prerequisite. No prior experience with game development or artificial intelligence is assumed.

Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!