From Data to Decisions: Developers Guide to AI Model Training

From Data to Decisions: Developers Guide to AI Model Training

Unlock the secrets of Artificial Intelligence with a practical, developer-friendly guide that takes you from the basics of AI to building and deploying real-world models.

Whether you’re a curious beginner or an experienced developer, this book walks you step by step through the process of training AI models—from understanding binary logic and math foundations, to building neural networks, fine-tuning large language models like GPT, and deploying AI in production.

Inside, you’ll discover:

• Core AI & ML Concepts explained simply, without overwhelming theory.
• The role of data—why cleaning, preprocessing, and balancing datasets matter more than algorithms.
• Hands-on projects including building a sentiment analysis model, fine-tuning GPT for blogging, training a medical chatbot, and generating code with AI.
• Developer-friendly Python examples you can run and adapt to your own projects.
• Infrastructure & scalability guidance—how to use GPUs, TPUs, cloud, and distributed training effectively.
• Responsible AI practices—bias reduction, ethics, and safety in real-world applications.
• A roadmap for developers to start their AI journey with the right tools, frameworks, and mindset.

Unlike most AI books that get lost in theory or drown you in math, this guide focuses on clarity, practicality, and real-world results. Think of it as a friendly conversation with a fellow developer who’s been building AI projects—together, you’ll demystify AI and learn how to use it to create powerful applications.

If you’ve ever wondered how AI models like ChatGPT actually work—or how you can build and fine-tune your own—this book is your gateway.

👉 Perfect for developers, engineers, and tech enthusiasts who want to move beyond the hype and start building AI today.