{"product_id":"end-to-end-ai-automation-engineering-practical-systems-for-streamlining-workflows-increasing-accuracy-and-accelerating-growth-9798276629858","title":"End-to-End AI Automation Engineering: Practical Systems for Streamlining Workflows, Increasing Accuracy, and Accelerating Growth","description":"\u003cp\u003e • Author(s): William L. Younker\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Expert Systems\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEnd-to-End AI Automation Engineering: Practical Systems for Streamlining Workflows, Increasing Accuracy, and Accelerating Growth\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eAre your business processes still slowed by repetitive tasks, manual data handling, or inconsistent workflows? Imagine transforming these operations into fully automated, intelligent systems that operate reliably, adapt to change, and deliver measurable efficiency. This book provides the practical blueprint to do exactly that, bridging the gap between theory and real-world implementation of AI-powered automation.\u003c\/p\u003e\u003cp\u003eIn this comprehensive guide, you will explore how to design, build, and deploy end-to-end AI automation systems that handle complex workflows from start to finish. Covering data ingestion, preprocessing, model development, orchestration, deployment, monitoring, and scaling, this book equips you with the tools to create systems that are not only efficient but resilient, maintainable, and capable of evolving alongside your organization.\u003c\/p\u003e\u003cp\u003eInside, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eArchitect robust automation workflows that integrate AI models, external tools, and orchestration logic.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement scalable data pipelines that ensure consistent, high-quality input for machine learning and automation.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild, evaluate, and maintain models with production-ready pipelines, experiment tracking, and reproducible training processes.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy AI systems across cloud, edge, and hybrid environments with reliable CI\/CD pipelines and containerized infrastructure.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDesign intelligent agents capable of multi-step decision-making, tool integration, and human-in-the-loop collaboration.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMonitor performance, detect drift, and implement automated retraining to maintain accuracy and reliability over time.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply proven architecture patterns, reference blueprints, and case studies to real-world business operations.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEvery chapter is packed with practical, working code examples in Python and C#, ready for direct implementation. Templates, RAG strategies, semantic kernel setups, and workflow orchestration examples provide a hands-on framework to accelerate deployment while maintaining control and observability.\u003c\/p\u003e\u003cp\u003eWhether you are an AI engineer, software developer, solutions architect, or technical lead, this book delivers the strategies and actionable steps to transition from fragmented, manual workflows to fully integrated, intelligent automation systems.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46436246913175,"sku":"9798276629858","price":1721.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798276629858.webp?v=1769131237","url":"https:\/\/atlanticbooks.com\/products\/end-to-end-ai-automation-engineering-practical-systems-for-streamlining-workflows-increasing-accuracy-and-accelerating-growth-9798276629858","provider":"Atlantic Books","version":"1.0","type":"link"}