👉 Description Mastering AI Prompt Engineering and Database Systems: A Unified Framework for Intelligent Data Engineering and Automation (2025 Edition) presents a structured and practical integration of two rapidly evolving domains—AI Prompt Engineering and Database Management Systems (DBMS). This work introduces a unified conceptual and applied framework that bridges natural language-based AI interaction with traditional and modern database architectures. It explains how well-structured prompts can be used to automate SQL generation, optimize database queries, enhance data retrieval, and enable intelligent decision-support systems. The book focuses on transforming conventional database operations into AI-assisted, semi-autonomous workflows, enabling learners and professionals to design systems where AI acts as an intelligent layer over structured data environments. Key highlights include: Foundations of prompt engineering for structured data tasks AI-driven SQL query generation and optimization Database design enhanced with AI reasoning capabilities Integration of LLMs with relational and NoSQL systems Real-world use cases in data automation and analytics Framework for building intelligent data engineering pipelines Designed for students, researchers, developers, and AI engineers, this edition serves as both a learning guide and a practical implementation roadmap for building next-generation intelligent database systems powered by prompt engineering.