Agentic AI & ML Pipeline Boilerplates Design, Train, Deploy, and Scale Intelligent Systems

Free Download Agentic AI & ML Pipeline Boilerplates: Design, Train, Deploy, and Scale Intelligent Systems (The AI Boilerplate Engineering Series Book 2)
English | December 18, 2025 | ASIN: B0G8KFYHK5 | 309 pages | Epub | 2.01 MB
Agentic AI & ML Pipeline Boilerplates Design, Train, Deploy, and Scale Intelligent Systems Stop experimenting. Start building production-ready AI systems. Agentic AI & ML Pipeline Boilerplates is a practical, engineering-first guide for developers and architects who want to move beyond demos and notebooks and start building real, scalable, and safe AI systems . This book shows you how to design, train, deploy, and operate agent-based AI systems and machine learning pipelines using battle-tested boilerplate architectures, not hype, not theory, and not fragile experiments. If you already know basic AI or machine learning and want to ship reliable AI products , this book is for you. What you'll learn: ✔ How agentic systems actually work, from input to reasoning, action, and response ✔ When to use agents (and when not to) in real products ✔ How to design clean, scalable agent architectures ✔ How to build production ML training pipelines (no notebooks-as-products) ✔ How agents, tools, memory, and models fit together ✔ How to debug, evaluate, and control costs in agent systems ✔ How to safely scale from a single agent to multi-agent systems ✔ How to deploy agents locally, in the cloud, or fully offline ✔ How to integrate agents with real systems: codebases, CRMs, monitoring, and sales pipelines ✔ How to prepare AI systems for enterprise security, governance, and compliance What makes this book different: 🚫 No hype 🚫 No "magic AI" explanations 🚫 No copy-paste prompt tricks ✅ Engineering-driven ✅ Production-ready ✅ Boilerplate-focused ✅ Safety-aware ✅ Enterprise-minded Every chapter is built around reusable folder structures, execution loops, workflows, and deployment patterns you can directly adapt for your own projects. Who this book is for: This book is ideal for: Software developers building AI-powered applications Backend and ML engineers moving systems to production Architects exploring agent-based system design Startup founders building AI products Engineering teams preparing for enterprise AI adoption You should already be comfortable with Python, APIs, and basic ML or LLM concepts . Designed for real-world use: This book is structured as a long-term engineering reference , not a one-time read. You can return to it whenever you need: A clean agent boilerplate A scalable ML pipeline structure A safe deployment strategy A production-grade workflow design If you're ready to build serious AI systems If you're tired of fragile demos and want to engineer AI systems that last , Agentic AI & ML Pipeline Boilerplates will become your go-to production handbook . Build smarter. Ship faster. Scale safely.