Genai on Google Cloud: Enterprise Generative AI Systems and Agents - Image 1

£49.15

O'Reilly Genai on Google Cloud: Enterprise Generative AI Systems and Agents

Name: Genai on Google Cloud: Enterprise Generative AI Systems and Agents
Brand: O'Reilly
Price: 49.15 GBP
Availability: InStock

Generative AI

Same price for 6 weeks. Today is much like next week.

£49 for 40 days straight · last change was Nov 2025

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 89 days • 89 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 89 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £64 (47 days, 52.8%)

Price range: £41 - £64

Price levels: 3 different prices over 89 days

Description

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

Product Specifications

Brand: O'Reilly
Format: Paperback
ASIN: B0FQB581SF
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning > Generative AI
Domain: Amazon UK
Release Date: 03 March 2026
Listed Since: 09 September 2025

Barcode

No barcode data available

O'Reilly Genai on Google Cloud: Enterprise Generative AI Systems and Agents

Same price for 6 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Building Applications with Large Language Models: Techniques, Implementation, and Applications

Large Language Models: A Deep Dive: Bridging Theory and Practice

Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents

A Developer's Guide to Integrating Generative AI into Applications (Tech Today)

AI Agents and Applications: With Langchain, Langgraph and Mcp

The LLM Engineering Bible [All-in-One]: Everything on How to Build, Deploy, and Scale Production-Ready AI Systems in 30 Days. Includes Practical and Updated LLM Use Cases Ideas and Expert Tips

Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI

LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development

Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning

Generative AI From Beginner to Paid Professional, Part 2: Master Prompt Design, Gemini Multimodal in Vertex AI Studio, LangChain, Launching & Deploying Generative AI Projects

Generative AI in Action

Generative AI and LLMs: Natural Language Processing and Generative Adversarial Networks

Generative AI For Business Leaders: Complete Book Collection: Fundamentals, Strategy and Transformation (Byte-Sized Learning)

Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

Azure AI-102 Certification Essentials: Master the AI Engineer Associate exam with real-world case studies and full-length mock tests

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

Agentic AI The Bible: Build and Master AI Agents to Transform Business, Work, and Life. Includes Video Lessons, Cheat Sheets, and Exclusive Resources

Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications

Generative AI for Software Developers: Future-proof your career with AI-powered development and hands-on skills

Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems

Generative AI Apps with LangChain and Python: A Project-Based Approach to Building Real-World LLM Apps