{"product_id":"b0hgxv6g5g","title":"AI Engineering: Building the Next Generation of Intelligent Systems – Developing Prompt Workflows, AI Agents, and LLM Architectures for Production","description":"\u003cp\u003eSoftware 1.0 is code you write. Software 2.0 is neural nets. Software 3.0 is prompts.  — Andrej Karpathy, founding member of OpenAI\u003c\/p\u003e\n\n\u003cp\u003eAnyone can get an answer out of an AI model. Far fewer can  build a system that produces the right outcome reliably , at scale, in production. This is where AI engineering becomes integral, spanning three distinct disciplines: the prompts that direct a model, the agents that act on its reasoning, and the large language models that underpin it all.\u003c\/p\u003e\n\n\u003cp\u003eThis combined edition brings together three bestselling volumes:  AI Prompt Engineering  by Nelson Ming,  Agentic AI Engineering  by Hyun Erwin, and  LLM Systems Engineering  by Rob McKinsey. Across 23 chapters, the authors guide readers from first principles to production-ready systems. Read end to end, the collection traces the full arc of modern AI engineering: covering everything from a single well-formed prompt to training the models running underneath.\u003c\/p\u003e\n\n\u003cp\u003eMain Topics\u003cbr\u003e\n• Foundational prompt design and reasoning techniques\u003cbr\u003e\n• Image and video generation, and hybrid prompt systems\u003cbr\u003e\n• Building and orchestrating single- and multi-agent architectures\u003cbr\u003e\n• Training, fine-tuning, and continued pretraining of LLMs\u003c\/p\u003e\n\n\u003cp\u003eFeatures\u003cbr\u003e\n• Personal insights from production environments\u003cbr\u003e\n• Prompt and code examples\u003cbr\u003e\n• 200+ visualizations and figures\u003cbr\u003e\n• 350+ primary research citations\u003c\/p\u003e\n\n\u003cp\u003eWho This Book Is For\u003cbr\u003e\nThis book is written for developers, AI architects, engineers, and enthusiasts who are interested in replicable, high-quality outcomes. It assumes comfort with general programming and basic ideas from linear algebra and probability. The material is presented at an intermediate to advanced level.\u003c\/p\u003e\n\n\u003cp\u003eTable of Contents\u003cbr\u003e\n• Book I – AI Prompt Engineering (8 chapters, 44 modules)\u003cbr\u003e\n• Book II – Agentic AI Engineering (7 chapters, 43 modules)\u003cbr\u003e\n• Book III – LLM Systems Engineering (8 chapters, 42 ,modules)\u003c\/p\u003e\n\n\u003cp\u003eWhether you are learning the fundamentals of AI prompt engineering or training and adapting LLMs in professional environments, this book provides a structured and practical guide to understanding and designing AI systems that perform reliably across real-world workflows.\u003c\/p\u003e\n\n\u003cp\u003eScroll up and click  Buy Now  to start reading.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52819085033688,"sku":"YSL32714","price":5.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/71mtUrDfQhL._SY1500.jpg?v=1793087905","url":"https:\/\/www.bookmebay.com\/products\/b0hgxv6g5g","provider":"BookMebay","version":"1.0","type":"link"}