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Coles GenAI on Google Cloud: Enterprise Generative AI Systems and Agents at Bayshore Shopping Centre in Ottawa, ON
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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.
Bridge the prototype-to-production chasm that stalls 75% of LLM projects using systematic frameworks developed across hundreds of deployments
Navigate the unique complexities of LLM operations through practical guidance on data orchestration, evaluation frameworks, and responsible AI practices
Build enterprise-grade multimodal systems that handle text, images, and video with robust agent architectures and tool integration
Implement proven optimization strategies for cost management, performance tuning, and production monitoring at scale
Apply battle-tested patterns from practitioners who've guided organizations through both breakthrough successes and costly failures
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.
Bridge the prototype-to-production chasm that stalls 75% of LLM projects using systematic frameworks developed across hundreds of deployments
Navigate the unique complexities of LLM operations through practical guidance on data orchestration, evaluation frameworks, and responsible AI practices
Build enterprise-grade multimodal systems that handle text, images, and video with robust agent architectures and tool integration
Implement proven optimization strategies for cost management, performance tuning, and production monitoring at scale
Apply battle-tested patterns from practitioners who've guided organizations through both breakthrough successes and costly failures
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