AI Engineering and AI Agentic Systems: Designing Intelligent Workflows, Prompting, Autonomous Agents, and Scalable Real-, (Paperback)

Artificial intelligence has evolved from experimental models into powerful systems that can reason, generate, and act. This book provides a comprehensive, practical guide to building modern AI applications using foundation models, prompt systems, and agentic architectures. AI Engineering and Agentic AI Systems takes a system-first approach, moving beyond theory to focus on how AI works in real-world environments. It covers the full lifecycle of AI development, from foundational concepts to deployment, monitoring, and optimization.<br><b>Inside this book, you will learn how to: </b><ul><li>Understand the evolution of AI from rule-based systems to agentic intelligence</li><li>Work with foundation models and large language models effectively</li><li>Design structured prompts and scalable prompt systems</li><li>Build retrieval-augmented generation (RAG) pipelines for accurate outputs</li><li>Develop AI agents capable of planning, reasoning, and tool use</li><li>Architect multi-agent systems and autonomous workflows</li><li>Evaluate AI systems using practical, real-world metrics</li><li>Deploy, monitor, and maintain AI applications in production</li><li>Manage cost, performance, safety, and compliance risks</li><li>Apply AI across business, development, and personal productivity</li></ul>This book addresses common gaps in existing AI resources by emphasizing end-to-end system design, real-world challenges, and practical implementation strategies. It integrates prompt engineering, system architecture, and agentic AI into a unified framework.<br>Whether you are building your first AI application or scaling complex systems, this guide provides the knowledge needed to design solutions that are reliable, efficient, and aligned with real-world demands.<br>

• AI Engineering and AI Agentic Systems: Designing Intelligent Workflows, Prompting, Autonomous Agents, and Scalable Real-, (Paperback)
• Author: Independently Published
• ISBN: 9798258942937
• Format: Paperback
• Publication Date: 2026-04-26
• Page Count: 322