The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems - Image 1

Out of Stock

This item is currently unavailable

The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

Network Topics

Out of Stock

Price data last checked 31 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 60 days • 60 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 60 days • 1 price levels

Days at Price

Price Analysis

Most common price: £41 (60 days, 100.0%)

Price range: £41 - £41

Price levels: 1 different prices over 60 days

Description

A Comprehensive, Practical Guide to Building, Deploying, and Scaling Real-World AI Systems While AI dominates headlines, most organizations face a different reality: stalled projects, fragile infrastructure, costly deployments, and no clear framework for building scalable, reliable systems. The AI Engineering Bible addresses this gap directly. Written for engineers, technical leads, AI architects, and product owners, this book offers a clear, systematic approach to building production-ready AI systems—grounded in current best practices, scalable infrastructure, and real-world application. Spanning every stage of the AI lifecycle—from problem definition and data acquisition to deployment, optimization, and long-term maintenance—it provides the structure and technical depth professionals need to confidently lead AI initiatives at scale. With this all-in-one guide in your hands, you will: Start by defining the problem and planning your AI system with precision—from aligning goals with business outcomes to structuring architecture, data strategy, ethics, compliance, and human-AI interaction from day one Build each layer of your system with reliability in mind, including data pipelines, preprocessing workflows, training loops, orchestration tools, and model selection—ready for integration into real-world software environments Deploy your AI models into production with confidence, using containerized services, scalable cloud infrastructure, secure API integrations, and version-controlled workflows that reduce downtime and risk Expand your system to handle increasing scale, applying proven strategies for distributed inference, federated learning, pipeline throughput, and load balancing—ensuring your architecture grows without bottlenecks Optimize performance across every dimension, from latency and throughput to memory usage and cost-efficiency, using cutting-edge techniques in tuning, compression, quantization, and system profiling Ensure long-term reliability and adaptability through model monitoring, drift detection, retraining strategies, user feedback loops, governance frameworks, and continuous improvement processes that keep systems stable and effective over time While other books focus narrowly on theory or specific tools, The AI Engineering Bible takes a full-stack engineering perspective—helping you bridge the gap between machine learning research and robust, maintainable production systems. Whether you're responsible for building internal AI platforms, deploying customer-facing features, or scaling intelligent systems in high-stakes environments, this book is designed to support your work with clarity and rigor. If your goal is to deliver AI systems that are not only functional, but sustainable, secure, and scalable—grab your copy of The AI Engineering Bible and use it as your trusted technical reference to build systems that perform in the real world.

Product Specifications

Format: paperback
ASIN: B0F672GWRZ
Category: Books > Subjects > Computing & Internet > Networking & Security > Network Topics
Domain: Amazon UK
Release Date: 23 April 2025
Listed Since: 24 April 2025

Barcode

No barcode data available

The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Build, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve

The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Build, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve

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

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

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

Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions

Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions

Agentic AI Engineering: The Definitive Field Guide to Building Production-Grade Cognitive Systems

Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations

Agentic AI Engineering: The Definitive Field Guide to Building Production-Grade Cognitive Systems (Generative AI Revolution Series)

Supercomputing for Artificial Intelligence - AI Scaling Guide

Agentic AI: Artificial Intelligence is Harnessing AI Agents and Reinventing Business strategies a long with Work and personal Life

AI Meets BI: Artificial Intelligence and Business Intelligence

Data Engineering with Advanced Python: Learn to Build Production Data applications using Modern Cloud Data tools (Data Engineering with Python cookbook series)

AI Startup Strategy: A Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

AI Engineering: Building Applications with Foundation Models

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Artificial Intelligence for Predictive Maintenance (Mechanical Engineering Essentials with Python)

AI Data Privacy and Protection: The Complete Guide to Ethical AI, Data Privacy, and Security

AI Driven Investment Banking (AI-Powered Business Function Series)

Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment (Mit Lincoln Laboratory)

Simplified Generative AI Architecture Design Guide (Future-Proof AI Design Future-Proof AI Design Series)