{"product_id":"9798868832000","title":"Azure AI and Machine Learning in the Agentic Era A Practitioner’s Guide to Building Production Systems","description":"\u003ch1\u003eAzure AI and Machine Learning in the Agentic Era\u003c\/h1\u003e\u003ch2\u003eA Practitioner’s Guide to Building Production Systems\u003c\/h2\u003e\u003ch3\u003eUrvi Sengar\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Programming \/ Microsoft\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eMost enterprise AI projects succeed as pilots and fail at scale. The difference is almost always the system, not the model.\u003c\/p\u003e\r\n\u003cp\u003eEmbark on a journey through the full Azure AI ecosystem, from the early days of Azure Machine Learning to the intelligence of Microsoft Foundry, bridging classical ML, multi-modal AI services, and next-generation generative and agentic systems. Design data foundations, choose and deploy models, orchestrate RAG and multi-agent workflows over MCP, operationalize and govern the whole stack with Responsible AI for real-world systems. Explore the seven-layer architecture that underpins production AI systems: Foundation, Knowledge, Intelligence, Orchestration, Experience, Observability, and Trust, and use it to build hybrid ML-GenAI applications, enterprise agents, and Autopilots. By the end of the book, readers will not only understand the mechanics of Azure’s AI ecosystem, but also the philosophy behind building intelligent, explainable, secure, and sustainable AI for the Agentic Era.\u003c\/p\u003e\r\n\u003cp\u003eIn today’s rapidly evolving AI landscape, organizations face the critical challenge of implementing AI solutions that are both powerful and practical. This book bridges the gap between Azure’s vast AI capabilities and real-world business needs, making it essential for professionals who need to deliver results — not just understand concepts. The combination of comprehensive coverage, hands-on implementation guidance, and strategic architectural frameworks makes it indispensable for anyone responsible for Azure AI initiatives.\u003c\/p\u003e\r\n\u003cp\u003eThis is not a survey of Azure services. It is a guide to building systems that work.\u003c\/p\u003e\r\n\u003cp\u003eWhat You Will Learn:\u003c\/p\u003e\r\n\u003cul\u003e\r\n\u003cli\u003eMaster Azure’s complete AI ecosystem, from machine learning and pre-built AI services to Azure OpenAI, MAI models, and Microsoft Foundry\u003c\/li\u003e\r\n\u003cli\u003eGo beyond theory with hands-on Azure exercises, production deployment strategies, reference architectures, and real case studies\u003c\/li\u003e\r\n\u003cli\u003eBuild, deploy, and operate AI solutions that span predictive models, generative applications, RAG systems, and enterprise agents\u003c\/li\u003e\r\n\u003cli\u003ePeek into the world of Agents, multi-agent frameworks, MCP, and quantum ML\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\u003cp\u003eWho This Book is For:\u003c\/p\u003e\r\n\u003cp\u003eThis book is designed for data scientists, AI\/ML engineers, solution architects, and platform engineers who want to build end-to-end AI and Machine Learning systems on Azure. It is equally useful for tech leads and engineering managers shaping enterprise AI strategy in the Agentic Era.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003eUrvi Sengar is a Senior Software Engineer at Microsoft, where she leads initiatives within the AI Center of Excellence, focusing on AI, machine learning, and data platforms. She brings over a decade of experience designing and shipping enterprise-grade software and scalable platforms across industries.\u003c\/p\u003e\r\n\u003cp\u003eShe holds a Master’s degree in Information Systems from the University of Cincinnati and a Bachelor’s in Computer Science. Urvi is recognized for her impact and innovation at Microsoft, earning multiple awards and holding patents in AI and machine learning.\u003c\/p\u003e\r\n\u003cp\u003eBeyond her technical work, Urvi is deeply committed to advancing AI literacy and shaping the next generation of engineers. She actively mentors aspiring technologists, judges hackathons, volunteers in STEM education initiatives, and engages with global tech communities. A frequent speaker on AI and machine learning, she shares her expertise with universities, industry audiences, and enterprise customers.\u003c\/p\u003e\r\n\u003cp\u003eThrough her work and writing, Urvi brings together practical experience and forward-looking perspectives on how AI can transform systems, decision-making, and real-world outcomes at enterprise scale.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e11 January 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9798868832000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":51562276028556,"sku":"9798868832000","price":53.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9798868832000","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}