Part 2 Development

Once AI opportunities are identified, the next step is turning them into functional, scalable solutions. This part focuses on core AI capabilities, including predictive models, large language models, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and automation. You’ll learn practical techniques for working with AI models—how to generate meaningful outputs, improve accuracy, and enhance user interactions. Whether you’re building an AI-powered assistant, recommendation system, or automation tool, this part of the book provides the technical foundation needed to create effective AI-driven features.