Genai on Google Cloud: Enterprise Generative AI Systems and Agents
暫譯: Google Cloud上的生成式AI：企業生成式AI系統與代理人

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