AI has moved past simple chatbots and single-turn responses. The systems that matter now are agents software that can plan multi-step work, reason about goals, call tools, maintain memory, and adapt when conditions change.
Building AI Agents with Vertex AI is a practical manual for developers and technical builders who want to design and run these systems on Google Cloud. It covers the full path from agent architecture and Gemini model selection through reasoning chains, function calling, long-term memory, Vertex AI Agent Builder, evaluation methods, safety guardrails, and production deployment.
The focus is on clear patterns that work in real projects: how to structure autonomy without losing control, how to ground agents in relevant data, how to test trajectories again than just final answers, and how to scale while managing costs, latency, and risk. Written for engineers, architects, and teams already working with Vertex AI or preparing to move agent proteins into production.
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Paperback. Zustand: new. Paperback. AI has moved past simple chatbots and single-turn responses. The systems that matter now are agents software that can plan multi-step work, reason about goals, call tools, maintain memory, and adapt when conditions change. Building AI Agents with Vertex AI is a practical manual for developers and technical builders who want to design and run these systems on Google Cloud. It covers the full path from agent architecture and Gemini model selection through reasoning chains, function calling, long-term memory, Vertex AI Agent Builder, evaluation methods, safety guardrails, and production deployment. The focus is on clear patterns that work in real projects: how to structure autonomy without losing control, how to ground agents in relevant data, how to test trajectories again than just final answers, and how to scale while managing costs, latency, and risk. Written for engineers, architects, and teams already working with Vertex AI or preparing to move agent proteins into 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 9798172314735
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Paperback. Zustand: new. Paperback. AI has moved past simple chatbots and single-turn responses. The systems that matter now are agents software that can plan multi-step work, reason about goals, call tools, maintain memory, and adapt when conditions change. Building AI Agents with Vertex AI is a practical manual for developers and technical builders who want to design and run these systems on Google Cloud. It covers the full path from agent architecture and Gemini model selection through reasoning chains, function calling, long-term memory, Vertex AI Agent Builder, evaluation methods, safety guardrails, and production deployment. The focus is on clear patterns that work in real projects: how to structure autonomy without losing control, how to ground agents in relevant data, how to test trajectories again than just final answers, and how to scale while managing costs, latency, and risk. Written for engineers, architects, and teams already working with Vertex AI or preparing to move agent proteins into production. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798172314735
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Taschenbuch. Zustand: Neu. Neuware - AI has moved past simple chatbots and single-turn responses. The systems that matter now are agents software that can plan multi-step work, reason about goals, call tools, maintain memory, and adapt when conditions change. Building AI Agents with Vertex AI is a practical manual for developers and technical builders who want to design and run these systems on Google Cloud. It covers the full path from agent architecture and Gemini model selection through reasoning chains, function calling, long-term memory, Vertex AI Agent Builder, evaluation methods, safety guardrails, and production deployment. The focus is on clear patterns that work in real projects: how to structure autonomy without losing control, how to ground agents in relevant data, how to test trajectories again than just final answers, and how to scale while managing costs, latency, and risk. Written for engineers, architects, and teams already working with Vertex AI or preparing to move agent proteins into production. Bestandsnummer des Verkäufers 9798172314735
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