Fullstack-AI Course
Preface
This book is a curated collection of notes, tutorials, and practical examples designed to support a full-stack artificial intelligence course. It provides a comprehensive introduction to the end-to-end development of AI systems, with a strong emphasis on hands-on implementation and real-world applications. While prior experience in software development, coding, computer science, or machine learning may be beneficial, all code examples and exercises have been designed to be clear, accessible, and approachable for learners with varying levels of technical background.
The course was created and developed by Professor Henry A. Ruiz, PhD, a research scientist at Texas A&M University. It draws on the author’s extensive experience designing and deploying AI systems across multiple domains, including agriculture, healthcare, the Internet of Things (IoT), and robotics. The course is designed to equip students with a solid foundation in core AI concepts and techniques, while also providing practical experience in building, deploying, and scaling AI solutions using widely adopted tools and libraries.
Course Materials
Code Examples
The code examples, slides and tutorials can be found in the following GitHub repository: Fullstack AI
Slides
Contributing
If you find any errors or have suggestions for improvements, please feel free to create an issue or submit a pull request on the GitHub repository. Your feedback is greatly appreciated!