Artificial Intelligence is transforming every aspect of software engineering, but success depends on more than knowing how to write prompts. Modern organizations need AI Generalist Engineers-professionals who can combine software engineering, enterprise architecture, cloud platforms, data engineering, automation, security, governance, and AI systems into practical business solutions.This book provides a structured roadmap for developers, architects, consultants, engineering managers, and technology leaders who want to move beyond AI experimentation and build production-ready enterprise AI systems.Readers will learn enterprise AI architecture, retrieval-augmented generation (RAG), AI agents, Model Context Protocol (MCP), AI orchestration, governance, evaluation, observability, security, deployment strategies, and operational best practices. The book emphasizes architectural thinking and real-world implementation patterns rather than isolated tools or frameworks.Whether you are modernizing enterprise applications or designing next-generation AI platforms, this guide offers practical frameworks, reference architectures, and proven methodologies for becoming an AI Generalist Engineer.
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Padmanabham Venkiteela is a Senior Enterprise Integration Architect and author specializing in Enterprise AI, cloud integration, APIs, and AI architecture. With nearly two decades of industry experience, he helps organizations design scalable, secure, and production-ready AI and integration solutions.
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Paperback. Zustand: new. Paperback. Artificial Intelligence is transforming every aspect of software engineering, but success depends on more than knowing how to write prompts. Modern organizations need AI Generalist Engineers-professionals who can combine software engineering, enterprise architecture, cloud platforms, data engineering, automation, security, governance, and AI systems into practical business solutions.This book provides a structured roadmap for developers, architects, consultants, engineering managers, and technology leaders who want to move beyond AI experimentation and build production-ready enterprise AI systems.Readers will learn enterprise AI architecture, retrieval-augmented generation (RAG), AI agents, Model Context Protocol (MCP), AI orchestration, governance, evaluation, observability, security, deployment strategies, and operational best practices. The book emphasizes architectural thinking and real-world implementation patterns rather than isolated tools or frameworks.Whether you are modernizing enterprise applications or designing next-generation AI platforms, this guide offers practical frameworks, reference architectures, and proven methodologies for becoming an AI Generalist Engineer. 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 9786630337679
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Taschenbuch. Zustand: Neu. AI Generalist Engineer: From AI User to AI Builder | Enterprise Skills, Architecture, Agentic AI, and the Future of Software Engineering | Padmanabham Venkiteela | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630337679 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 138106910
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Paperback. Zustand: new. Paperback. Artificial Intelligence is transforming every aspect of software engineering, but success depends on more than knowing how to write prompts. Modern organizations need AI Generalist Engineers-professionals who can combine software engineering, enterprise architecture, cloud platforms, data engineering, automation, security, governance, and AI systems into practical business solutions.This book provides a structured roadmap for developers, architects, consultants, engineering managers, and technology leaders who want to move beyond AI experimentation and build production-ready enterprise AI systems.Readers will learn enterprise AI architecture, retrieval-augmented generation (RAG), AI agents, Model Context Protocol (MCP), AI orchestration, governance, evaluation, observability, security, deployment strategies, and operational best practices. The book emphasizes architectural thinking and real-world implementation patterns rather than isolated tools or frameworks.Whether you are modernizing enterprise applications or designing next-generation AI platforms, this guide offers practical frameworks, reference architectures, and proven methodologies for becoming an AI Generalist Engineer. 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 9786630337679
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence is transforming every aspect of software engineering, but success depends on more than knowing how to write prompts. Modern organizations need AI Generalist Engineers-professionals who can combine software engineering, enterprise architecture, cloud platforms, data engineering, automation, security, governance, and AI systems into practical business solutions.This book provides a structured roadmap for developers, architects, consultants, engineering managers, and technology leaders who want to move beyond AI experimentation and build production-ready enterprise AI systems.Readers will learn enterprise AI architecture, retrieval-augmented generation (RAG), AI agents, Model Context Protocol (MCP), AI orchestration, governance, evaluation, observability, security, deployment strategies, and operational best practices. The book emphasizes architectural thinking and real-world implementation patterns rather than isolated tools or frameworks.Whether you are modernizing enterprise applications or designing next-generation AI platforms, this guide offers practical frameworks, reference architectures, and proven methodologies for becoming an AI Generalist Engineer. 688 pp. Englisch. Bestandsnummer des Verkäufers 9786630337679
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Paperback. Zustand: new. Paperback. Artificial Intelligence is transforming every aspect of software engineering, but success depends on more than knowing how to write prompts. Modern organizations need AI Generalist Engineers-professionals who can combine software engineering, enterprise architecture, cloud platforms, data engineering, automation, security, governance, and AI systems into practical business solutions.This book provides a structured roadmap for developers, architects, consultants, engineering managers, and technology leaders who want to move beyond AI experimentation and build production-ready enterprise AI systems.Readers will learn enterprise AI architecture, retrieval-augmented generation (RAG), AI agents, Model Context Protocol (MCP), AI orchestration, governance, evaluation, observability, security, deployment strategies, and operational best practices. The book emphasizes architectural thinking and real-world implementation patterns rather than isolated tools or frameworks.Whether you are modernizing enterprise applications or designing next-generation AI platforms, this guide offers practical frameworks, reference architectures, and proven methodologies for becoming an AI Generalist Engineer. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786630337679
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