Paperback. Prompt Engineering for Google Vertex AIBuild Production-Ready AI Apps Without GuessworkGenerative AI is powerful but only if you know how to communicate with it effectively.If you have experimented with prompts that work inconsistently, or struggled to move from demos to reliable production systems, this book was written for you.Prompt Engineering for Google Vertex AI is a practical, hands-on guide to designing prompts that deliver consistent, scalable, and safe results using Google's enterprise-grade AI platform.Instead of vague theory or copied documentation, you will learn how prompt engineering works in real-world Vertex AI applications, from early experimentation to full production deployment.What You Will Learn- How prompt engineering works specifically within the Vertex AI ecosystem- How to structure prompts for Gemini models to improve accuracy and reliability- Proven prompt patterns for enterprise and production use cases- Techniques to test, evaluate, and debug prompts before deployment- Methods to reduce hallucinations and unpredictable outputs- Strategies for versioning, scaling, and monitoring prompts in live systems- Responsible AI, safety filters, and governance best practicesBuilt for Real-World UseThis book goes beyond simple examples. You will explore practical scenarios such as: - Automating customer support workflows- Extracting and summarizing structured data- Content classification and moderation- Code-assisted development with Vertex AI- Designing prompts that work across changing inputsEach concept is explained clearly and without unnecessary jargon, so you can apply what you learn immediately.Who This Book Is For- Developers and cloud engineers working with Google Cloud- Technical professionals transitioning into generative AI- Startup builders and AI product teams- Anyone seeking predictable, production-ready AI outputs rather than trial and errorNo advanced machine-learning background is required.Why This Book Is DifferentMost resources stop at prompt basics. This book shows you how to: - Design prompts that handle real users and real data- Move confidently from experimentation to production- Treat prompts as engineering assets rather than guessworkIf you are serious about building reliable AI applications on Google Vertex AI, this book provides the frameworks, patterns, and practical guidance to do it right. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Prompt Engineering for Google Vertex AI (Paperback)
Publisher: Independently Published
Publication Date: 2026
Language: English
ISBN 13: 9798243558389
Binding: Paperback
Condition: new

About this title

Synopsis

Prompt Engineering for Google Vertex AI

Build Production-Ready AI Apps Without Guesswork

Generative AI is powerful but only if you know how to communicate with it effectively.

If you have experimented with prompts that work inconsistently, or struggled to move from demos to reliable production systems, this book was written for you.

Prompt Engineering for Google Vertex AI is a practical, hands-on guide to designing prompts that deliver consistent, scalable, and safe results using Google’s enterprise-grade AI platform.

Instead of vague theory or copied documentation, you will learn how prompt engineering works in real-world Vertex AI applications, from early experimentation to full production deployment.

What You Will Learn

• How prompt engineering works specifically within the Vertex AI ecosystem
• How to structure prompts for Gemini models to improve accuracy and reliability
• Proven prompt patterns for enterprise and production use cases
• Techniques to test, evaluate, and debug prompts before deployment
• Methods to reduce hallucinations and unpredictable outputs
• Strategies for versioning, scaling, and monitoring prompts in live systems
• Responsible AI, safety filters, and governance best practices

Built for Real-World Use

This book goes beyond simple examples. You will explore practical scenarios such as:

• Automating customer support workflows
• Extracting and summarizing structured data
• Content classification and moderation
• Code-assisted development with Vertex AI
• Designing prompts that work across changing inputs

Each concept is explained clearly and without unnecessary jargon, so you can apply what you learn immediately.

Who This Book Is For

• Developers and cloud engineers working with Google Cloud
• Technical professionals transitioning into generative AI
• Startup builders and AI product teams
• Anyone seeking predictable, production-ready AI outputs rather than trial and error

No advanced machine-learning background is required.

Why This Book Is Different

Most resources stop at prompt basics. This book shows you how to:

• Design prompts that handle real users and real data
• Move confidently from experimentation to production
• Treat prompts as engineering assets rather than guesswork

If you are serious about building reliable AI applications on Google Vertex AI, this book provides the frameworks, patterns, and practical guidance to do it right.

"About this title" may belong to another edition of this title.

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