In today's AI landscape, success depends not just on using large language models but on moving them into production in a way that's scalable, compliant, and cost-effective. GenAI on Google Cloud: Enterprise Generative AI Systems and Agents is your hands-on guide to bridging that gap. Whether you're an ML engineer tackling your first multi-agent application or a product leader responsible for scaling a GenAI strategy, this book offers a practical game plan for taking your LLM applications from promising prototype to enterprise-grade solution.
Written by practitioners with deep experience in MLOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows using Google Cloud's Vertex AI--from training and deployment to monitoring and integration. With concrete examples, field-tested frameworks, and honest insights about what actually works, you'll learn how to build production systems that deliver measurable business value.
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Ayo Adedeji is a Senior Developer Relations Engineer on Google Cloud's AI Platform team and specializes in bridging advanced AI technologies with practical developer solutions. With a background as an ML Engineer in healthcare, Ayo's expertise spans computational biology, big data processing, and foundation models. He holds engineering degrees from Stanford and Johns Hopkins and is passionate about helping developers across industries harness the power of Google Cloud to build innovative, responsible AI solutions.
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Paperback. Zustand: New. In today's AI landscape, success depends not just on prompting large language models but on orchestrating them into intelligent systems that are scalable, compliant, and cost-effective. GenAI on Google Cloud is your hands-on guide to bridging that gap. Whether you're an ML engineer or an enterprise leader, this book offers a practical game plan for taking agentic systems from prototype to production.Written by practitioners with deep experience in AgentOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows from data prep and deployment to orchestration and integration. With concrete examples, field-tested frameworks, and honest insights, you'll learn how to build agentic systems that deliver measurable business value.Bridge the production gap that stalls 90% of vertical AI initiatives using systematic deployment frameworksNavigate AgentOps complexities through practical guidance on orchestration, evaluation, and responsible AI practicesBuild robust multimodal systems for text, images, and video using proven agent architecturesOptimize for scale with strategies for cost management, performance tuning, and production monitoring. Bestandsnummer des Verkäufers LU-9798341623859
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Paperback. Zustand: new. Paperback. In today's AI landscape, success depends not just on prompting large language models but on orchestrating them into intelligent systems that are scalable, compliant, and cost-effective. GenAI on Google Cloud is your hands-on guide to bridging that gap. Whether you're an ML engineer or an enterprise leader, this book offers a practical game plan for taking agentic systems from prototype to production.Written by practitioners with deep experience in AgentOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows from data prep and deployment to orchestration and integration. With concrete examples, field-tested frameworks, and honest insights, you'll learn how to build agentic systems that deliver measurable business value.Bridge the production gap that stalls 90% of vertical AI initiatives using systematic deployment frameworksNavigate AgentOps complexities through practical guidance on orchestration, evaluation, and responsible AI practicesBuild robust multimodal systems for text, images, and video using proven agent architecturesOptimize for scale with strategies for cost management, performance tuning, and production monitoring GenAI on Google Cloud is your hands-on guide to bridging that gap. Whether you're an ML engineer or an enterprise leader, this book offers a practical game plan for taking agentic systems from prototype to production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798341623859
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Paperback. Zustand: New. In today's AI landscape, success depends not just on prompting large language models but on orchestrating them into intelligent systems that are scalable, compliant, and cost-effective. GenAI on Google Cloud is your hands-on guide to bridging that gap. Whether you're an ML engineer or an enterprise leader, this book offers a practical game plan for taking agentic systems from prototype to production.Written by practitioners with deep experience in AgentOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows from data prep and deployment to orchestration and integration. With concrete examples, field-tested frameworks, and honest insights, you'll learn how to build agentic systems that deliver measurable business value.Bridge the production gap that stalls 90% of vertical AI initiatives using systematic deployment frameworksNavigate AgentOps complexities through practical guidance on orchestration, evaluation, and responsible AI practicesBuild robust multimodal systems for text, images, and video using proven agent architecturesOptimize for scale with strategies for cost management, performance tuning, and production monitoring. Bestandsnummer des Verkäufers LU-9798341623859
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