Artificial Intelligence for Developers in easy steps contains artificial intelligence (AI) projects suitable for anyone who wants to get started with AI programming. Unlock the Power of Artificial Intelligence (AI): The essential guide for Developers!

View or download first chapter and Table of Contents – FREE!

Artificial Intelligence for Developers in easy steps is your fast-track guide to mastering AI and enhancing your coding skills. Whether you’re an aspiring developer or a student familiar with Python, this practical guide empowers you to build intelligent AI solutions quickly and easily.

AI is shaping the future, and this book shows you how it works whilst providing hands-on tutorials to create real-world AI applications. You’ll even discover how to use no-code and low-code AI tools. Plus, it comes with free downloadable source code so that you can start building immediately!

Inside, you’ll learn:

• The fundamentals of AI and how it works.
• How to create a chatbot and build expert systems.
• The secrets of AI techniques, including flatworld, fuzzy logic, and subsumption architecture.
• Cutting-edge topics like genetic algorithms, neural networks, and generative AI.

Perfect for developers who want to stay ahead in the rapidly-evolving AI landscape, this guide equips you with the tools to update your skillset and stay competitive in today’s tech-driven world.

Don’t wait – take your coding skills to the next level with Artificial Intelligence for Developers in easy steps today!

Note – this book only gives detailed information for Windows. The book is aimed at developers with experience of other languages, so Linux and MacOS users should find the book useful but it won’t be as streamlined as for a Windows user.

About the author

Richard Urwin has been a software engineer all his working life, specialising in embedded control systems. He enjoys roleplaying games, science-fiction and hill-walking, although these days he wishes the hills were flatter. He wrote his first Artificial Intelligence program in 1975 and has retained an interest in the field ever since.

1. Introducing artificial intelligence
2. Creating a chatbot
3. Expert systems
4. The flatworld
5. Fuzzy logic
6. Subsumption architecture
7. Genetic algorithms
8. Neural networks
9. Pretrained neural networks
10. Generative artificial intelligence
11. Low code

Download the original source code for checking against your own work from our Downloads page