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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 frameworks
- Navigate AgentOps complexities through practical guidance on orchestration, evaluation, and responsible AI practices
- Build robust multimodal systems for text, images, and video using proven agent architectures
- Optimize for scale with strategies for cost management, performance tuning, and production monitoring
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 frameworks
- Navigate AgentOps complexities through practical guidance on orchestration, evaluation, and responsible AI practices
- Build robust multimodal systems for text, images, and video using proven agent architectures
- Optimize for scale with strategies for cost management, performance tuning, and production monitoring
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9798341623859 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Adedeji, Ayo
Nigam, Lavi Joshi, Sarita Gervasi, Stephanie |
| Hersteller: | O'Reilly Media |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 232 x 173 x 17 mm |
| Von/Mit: | Ayo Adedeji (u. a.) |
| Erscheinungsdatum: | 03.02.2026 |
| Gewicht: | 0,554 kg |
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