Agentic AI Engineering with LLMs: Designing Multi-Agent Systems and Building LLM Applications That Reason, Plan, and Act in Real-World Environments | A Practical Guide to AI Agent System Design
English | April 27, 2026 | ASIN: B0GXV89GF5 | 154 pages | Epub | 819.20 KB
Build AI Agents That Think, Plan, and Act on Their Own.Software is being rewritten. Large language models are no longer passive tools waiting for prompts. They now power autonomous systems that pursue goals, make decisions, use tools, and complete real work. The engineers who understand how to design and ship these systems are building products that were impossible two years ago.Agentic AI Engineering with LLMs is the complete, hands-on guide to designing multi-agent systems and building LLM applications that operate in real-world environments. This is not surface-level theory or another framework tutorial. It is a deep, structured walkthrough of the engineering discipline behind every reliable AI agent in production today.What you will learn:How large language models actually work, from tokens and transformers to alignment and inferenceThe shift from passive language models to autonomous AI agentsThe full anatomy of an agentic system and the role of every componentReasoning frameworks like ReAct, Chain of Thought, and Tree of ThoughtPlanning, decision-making, and task decomposition strategies that scaleTool use, function calling, and how agents extend their capabilities through APIsMemory architectures, state management, and retrieval-augmented generationMulti-agent collaboration, coordination patterns, and orchestration frameworksProduction deployment, evaluation, observability, and safety guardrailsCost optimization, scaling strategies, and proven industry use casesWho this book is for:Software engineers building AI features, architects designing agentic platforms, technical leaders guiding teams through the AI transition, researchers translating ideas into systems, and advanced students who want a serious foundation in this fast-moving field.Why this book is different:Most AI books either drown you in math or hand you a toolkit walkthrough that is outdated within months. This one teaches the underlying principles that survive every framework update. Tools change. Principles endure. By the final chapter you will have a working mental model for every layer of a modern agentic system, plus the confidence to make architectural decisions in production.The window to master AI agent system design is narrow. Engineers who learn the discipline today will lead the next decade of software.Scroll up, click "Buy Now," and start building autonomous AI systems that actually work.
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