{"product_id":"building-agentic-ai-workflows-fine-tuning-optimization-and-deployment-pearson-ai-signature-series","title":"Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment (Pearson AI Signature Series)","description":"\u003cp\u003e\u003cstrong\u003eBook info:\u003c\/strong\u003e Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment (Pearson AI Signature Series) (Paperback, 320 pages) – Addison-Wesley Professional, 2025. Language: English.\u003c\/p\u003e\n \u003cp\u003eTransform Your Business with Intelligent AI to Drive Outcomes\u003c\/p\u003e\u003cp\u003eBuilding reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research.\u003c\/p\u003e\u003cp\u003eWhether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems. Harness the power of reasoning models for applications like computer use, multimodal systems to work with all kinds of data, and fine-tuning techniques to get the most out of AI. Learn to test, monitor, and optimize agentic systems to keep them reliable and cost-effective at enterprise scale.\u003c\/p\u003e\u003cp\u003eMaster the complete agentic AI pipeline\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDesign adaptive AI agents with memory, tool use, and collaborative reasoning capabilities\u003c\/li\u003e\n\u003cli\u003eBuild robust RAG workflows using embeddings, vector databases, and LangGraph state management\u003c\/li\u003e\n\u003cli\u003eImplement comprehensive evaluation frameworks beyond accuracy, including precision, recall, and latency metrics\u003c\/li\u003e\n\u003cli\u003eDeploy multimodal AI systems that seamlessly integrate text, vision, audio, and code generation\u003c\/li\u003e\n\u003cli\u003eOptimize models for production through fine-tuning, quantization, and speculative decoding techniques\u003c\/li\u003e\n\u003cli\u003eNavigate the bleeding edge of reasoning LLMs and computer-use capabilities\u003c\/li\u003e\n\u003cli\u003eBalance cost, speed, accuracy, and privacy in real-world deployment scenarios\u003c\/li\u003e\n\u003cli\u003eCreate hybrid architectures that combine multiple agents for complex enterprise applications\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eRegister your book for convenient access to downloads, updates, and\/or corrections as they become available. See inside book for details.\u003c\/p\u003e  \n\n                                         Editorial Reviews                   About the Author   \u003cp\u003eSinan Ozdemir is an AI expert and entrepreneur with a master's degree in pure mathematics from Johns Hopkins University. He founded Kylie.ai, patented agentic tool use there in 2018, participated in Y Combinator, and exited the company in 2019. Sinan is the author of Quick Start Guide to Large Language Models, Second Edition (Addison-Wesley, 2025), and cohosts the Practically Intelligent podcast. He has created several popular AI courses for Pearson on O'Reilly.\u003c\/p\u003e                                           ","brand":"Sinan Ozdemir","offers":[{"title":"Default Title","offer_id":46068872741098,"sku":"9780135489680","price":48.88,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/5301\/6298\/files\/71txzcUpyfL._SL1500.jpg?v=1781187795","url":"https:\/\/textbookme.store\/products\/building-agentic-ai-workflows-fine-tuning-optimization-and-deployment-pearson-ai-signature-series","provider":"TextbookMe","version":"1.0","type":"link"}