Agentic Ai For Engineers

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Agentic Ai For Engineers

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Author : Dhivya Nagasubramanian
language : en
Publisher: Apress
Release Date : 2026-05-18

Agentic Ai For Engineers written by Dhivya Nagasubramanian and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-05-18 with Computers categories.

As AI rapidly evolves from passive models to autonomous systems capable of setting goals, reasoning, and acting independently, engineers find themselves at the threshold of a new technological era. This book serves as a bridge—connecting the world of traditional engineering to the emerging domain of Agentic AI. It is crafted for hands-on professionals who may not have formal training in AI but are eager to build the next generation of intelligent, goal-driven systems. The journey begins with foundational concepts: what it truly means for a system to exhibit agency, how autonomy differs from automation, and why this distinction matters in practice. Early chapters lay down the necessary groundwork in machine learning and generative AI, allowing readers to appreciate the architecture that enables agentic behavior. From there, the book dives into system design patterns, prompting strategies, and the most influential tools shaping the agentic AI landscape—from LangChain to CrewAI. Practical guidance is provided on engineering agents that are not only capable but also aligned, safe, and robust in dynamic environments. The third chapter shifts into applied engineering: readers are walked step-by-step through building their first AI agent, supported by real-world examples, feedback loop design, and deployment practices that mirror how modern autonomous systems are built. By the final chapter, readers will not only understand agentic systems—they will be ready to build, evaluate, and evolve them. The book closes by addressing the road ahead: open challenges in ethics, unpredictability, and system alignment, along with a roadmap for engineers who want to actively contribute to the field. Whether you're building automation today or preparing for the autonomy of tomorrow, Agentic AI for Engineers equips you with the knowledge, tools, and mindset to lead in the era of intelligent agents. What You Will Learn A practical introduction to Machine Learning and Generative AI, tailored for engineers Conceptualize, design, and build autonomous AI agents from scratch—even with a minimal AI background. The core principles of Agentic AI, including goals, environments, actions, and feedback loops Understand different Agentic AI frameworks and their applications. Integrate agentic systems into real-world applications using hands-on coding examples Review strategies for ensuring safe, ethical, and auditable agent behavior in production environments Who This Book Is For Primary audience includes Software Engineers, DevOps, and Data Engineers curious about building intelligent, autonomous systems but who lack formal AI training; Technical Product Managers and Engineering Leaders looking to understand and implement Agentic AI in real-world systems; System Architects and Automation Engineers exploring the shift from traditional automation to intelligent agent-based architectures. AI/ML Enthusiasts and self-learners, Engineering and computer science students, and professionals in emerging tech domains who want to build or deploy autonomous agents will also benefit from this book.

Agentic Ai Engineering With Rag And Mcp

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Author : Clifford C Sowders
language : en
Publisher: Independently Published
Release Date : 2025-09-17

Agentic Ai Engineering With Rag And Mcp written by Clifford C Sowders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-17 with Computers categories.

Agentic AI Engineering with RAG and MCP: From Modular Pipelines to Intelligent Automation Are you struggling to turn raw AI potential into practical, production-grade solutions that actually move the needle for your business? The explosion of large language models and retrieval-augmented systems has changed the game, but real-world results still hinge on smart engineering-connecting data, models, and tools into seamless, scalable workflows. The future isn't about isolated prompts. It's about intelligent, agent-driven architectures that learn, adapt, and automate the work that matters. Agentic AI Engineering with RAG and MCP is your hands-on guide to building next-generation systems using Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP). This book shows you how to move beyond demo scripts and fragmented pipelines, teaching you to design modular, composable AI agents that can reason, retrieve, and act on real data-safely, efficiently, and at scale. Inside, you'll master the practical patterns powering today's best AI products: Set up robust RAG pipelines with fast retrieval, semantic embeddings, and efficient vector stores. Register, expose, and secure powerful tools and APIs through MCP, supporting everything from document search to web actions and code execution. Engineer agents that chain tools, manage memory, personalize experiences, and adapt to complex multi-tenant environments. Integrate security, monitoring, and error-handling from day one, avoiding the pitfalls that stall real deployments. Scale effortlessly: from one agent and a handful of tools to cloud-scale architectures and high-load, multi-client operations. Harness advanced techniques-hybrid models, proactive tool discovery, and multimodal workflows-ready for production. Whether you're an AI engineer, architect, or a team lead aiming to deliver AI that works for real people, this book provides the code, architecture, and mental models to get you there-without hype or hand-waving.

Agentic Ai Playbook

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Author : Tommy M Mayer
language : en
Publisher: Independently Published
Release Date : 2025-11-07

Agentic Ai Playbook written by Tommy M Mayer and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-07 with Computers categories.

Turn prompts into finished work with a playbook that teaches you how to design reliable agentic ai for real tasks. This book shows how ai agents think through goals, plan steps, and call tools so your team ships outcomes, not drafts. You will see how llm agents combine reasoning, memory, and action, and you will learn how to build ai agents that follow clear rules, respect limits, and report what they do. Practical examples walk through langchain agents and langgraph agents, while grounding results with retrieval augmented generation (rag) for accurate, source-aware output. You will discover where autonomous ai systems shine and how multi-agent systems llm patterns divide work across specialists for speed and consistency. If you care about measurable gains, you will appreciate the chapters on ai workflow automation that reduce manual clicks and errors. The book explains how to package agentic ai services that act as real ai value creators, and how to stand up an instant ai agency inside your company. New builders can learn ai step by step, from policies to prompts, while advanced readers sharpen ai agent engineering skills and tune ai for llm orchestration. Clear diagrams connect ai and llm roles with classic ai engineering practice so teams can align on design choices. You will also see how llm and ai work together in pipelines that you can share with peers and learn with ai using repeatable tests. For those scaling production tasks, the guide links ai machine learning llm concepts to operations that matter, including cost, latency, and quality. Founders will find a path to ai & automation for entrepreneurs, including patterns for an ai sales agent that qualifies leads and writes follow-ups. Builders get hands-on methods for ai agent build while they build ai skills in safe sandboxes. You will map a clean ai agent workflow from intake to review, understand where plain ai is enough, and know when building generative ai agents pays off. Teams responsible for ai agents development will adopt checklists that support audits and uptime. Engineers can deepen agentic ai engineering practice, apply ai for engineering tasks like documentation and testing, and tie projects to outcomes that speak the language of ai & money. Across use cases, the goal stays simple. Design for clarity, verify with tests, and scale with discipline so every agent earns trust, saves time, and delivers results your users can measure.

Agentic Ai Engineering Playbook

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Author : Landen Howe
language : en
Publisher: Independently Published
Release Date : 2025-10-20

Agentic Ai Engineering Playbook written by Landen Howe and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-20 with Computers categories.

Agentic AI Engineering Playbook: Build Production-Grade AI Agents That Ship, Scale & Stay Reliable What if your AI agents could thrive in production-scaling seamlessly, staying robust under pressure, and delivering real business value every day? Too many organizations build smart demos, only to see them crumble when real-world complexity hits. If you're ready to break free from prototypes and deploy AI agents that stand the test of time, this book is your essential blueprint. The Agentic AI Engineering Playbook gives you the hard-won, practical know-how to architect, launch, and maintain resilient AI agents that drive results-no matter your industry or stack. It strips away hype, focusing on actionable engineering patterns, field-proven strategies, and reusable code templates you can apply from day one. Inside, you'll discover: How to design durable agent state, memory, and context for reliability at scale. Proven patterns for integrating toolchains, APIs, and orchestration protocols-making your agents extensible and future-proof. Battle-tested techniques for deploying secure, governable agents in production, with clear audit trails, automated evaluation, and real-time telemetry. Cost control strategies to keep operations efficient, including caching, prompt budgets, and smart model selection. Ready-to-use code templates, evaluation playbooks, and real-world case studies spanning support, analytics, knowledge management, and large-scale automation. Step-by-step guides for versioning, rollback, hotfixing, and incident response-plus best practices for building a culture of operational excellence. Whether you're a developer, architect, or technical lead, this playbook will equip you with the knowledge and confidence to deliver reliable, scalable agentic AI-fast. Gain the skills top teams use to master drift detection, multi-agent coordination, CI/CD for agents, and more. Don't settle for AI that looks good in a demo but fails in the real world. If you're ready to engineer agents that make a difference in production-delivering reliability, transparency, and measurable impact-this is the book to put on your desk. Seize your edge. Build the agents that move your business forward-order your copy of the Agentic AI Engineering Playbook today.

Agentic Ai Engineering

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Author : Yi Zhou
language : en
Publisher:
Release Date : 2025-09-03

Agentic Ai Engineering written by Yi Zhou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-03 with Computers categories.

Most AI agents shine in controlled demos but collapse in production. They hallucinate confidently, drift off tasks, or fail silently without explanation. The problem is not intelligence but fragility. Agentic AI Engineering delivers the missing discipline, showing how to build systems that are resilient, auditable, and trustworthy across real-world environments. At its heart, the book reveals how software engineering is transforming into agentic engineering. Where traditional software aimed for deterministic correctness, agentic systems must reason under uncertainty, adapt across shifting contexts, and continuously prove alignment. This evolution demands new foundations, new practices, and new roles. The central framework, the Agentic Stack, shows how to take agents from fragile prototypes to systems that can stand up to audits and scale without breaking. It demonstrates how to move deliberately up the maturity ladder: first to production-grade, where agents are contained and observable, then to enterprise-grade, where they integrate safely across organizations, and ultimately to regulatory-grade, where they can withstand external scrutiny and prove compliance in motion. The book goes beyond technical mechanics to address the organizational transformation required. It reframes product management around the economics of cognition, redefines operations as AgentOps, and advances quality assurance into the practice of proving not just outputs but reasoning itself. It shows how traditional agile squads must evolve into agentic teams, designed with architects, context engineers, and cognitive reliability leads who engineer not only systems but trust. The journey closes with the future horizon. Agents will not remain isolated utilities but will interconnect into adaptive ecosystems and, eventually, operating fabrics of intelligence. In this world, every application becomes an agent, and every system becomes accountable by design. Agentic AI Engineering is written for AI engineers and architects, yet it also provides vital perspective for executives, product leaders, and investors. More than a manual, it is a manifesto for the next era of technology. This book shows how the age of software engineering gives way to agentic engineering, where cognition is not improvised but engineered, and where trust defines the standard for production-grade, enterprise-grade, and regulatory-grade systems.

Agentic Ai Engineering Workshop

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Author : Sven Kohl
language : en
Publisher: Independently Published
Release Date : 2025-09-04

Agentic Ai Engineering Workshop written by Sven Kohl and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-04 with Computers categories.

Agentic AI Engineering Workshop is a transformative, masterfully crafted opus that redefines the frontier of artificial intelligence engineering. This definitive tome empowers visionary engineers, pioneering researchers, and bold innovators to conquer the complexities of agentic AI with unparalleled precision and audacity. Through an incisive blend of rigorous theoretical foundations, cutting-edge techniques, and battle-tested real-world applications, it delivers a commanding blueprint for crafting autonomous, hyper-scalable, and impregnably secure AI systems. From immersive hands-on labs forging intelligent agents to strategic masterstrokes for achieving SOC 2 compliance and harnessing revolutionary trends like edge AI, AGI, and quantum computing, this work arms you with the arsenal to dominate competitive arenas. Penned with the intellectual rigor of a seasoned academic and the pragmatic foresight of an industry titan, this book is the ultimate catalyst for those destined to lead the AI revolution with transformative impact and unassailable authority.

Building Agentic Ai With Rust

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Author : Evan Sterling
language : en
Publisher: Independently Published
Release Date : 2025-06-10

Building Agentic Ai With Rust written by Evan Sterling and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.

Agentic AI-autonomous systems capable of perception, reasoning, and action-is redefining how we build intelligent applications. From AI customer service agents and healthcare assistants to real-time financial analysis tools, these systems integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and goal-oriented control. Rust, with its unmatched performance, safety guarantees, and asynchronous power via Tokio, is the ideal language to build scalable, high-concurrency AI agents that are production-ready. Written by a seasoned systems engineer and AI practitioner, Building Agentic AI with Rust is the first comprehensive guide focused on using Rust to build high-performance, autonomous AI agents. With deep real-world experience, clean architectural patterns, and a practical teaching style, this book bridges the gap between cutting-edge AI research and robust, deployable software engineering practices. This hands-on guide shows developers how to architect, implement, and deploy agentic AI systems using Rust and modern AI tools like OpenAI, Hugging Face, and vector search engines. Each chapter provides a step-by-step approach, from designing the agent loop to implementing a scalable RAG system and deploying with Docker and cloud services. You'll learn best practices for async programming with Tokio, profiling for performance, and implementing real-world use cases across industries. Implementing the Perceive-Reason-Act loop in Rust Architecting modular AI agents with traits and async tasks Integrating OpenAI and Hugging Face LLMs using structured prompts Building Retrieval-Augmented Generation (RAG) pipelines Scaling with Tokio, caching, and vector stores like Qdrant Packaging, containerizing, and deploying agents to AWS and GCP Monitoring, logging, and optimizing agents for production Full case studies: customer support, healthcare, and financial AI This book is written for Rust developers, AI engineers, system architects, and technical enthusiasts looking to build powerful autonomous agents with real-world capabilities. If you're comfortable with Rust and want to extend your skills into modern AI systems, this guide is for you. No prior experience with LLMs or RAG is required-concepts are introduced clearly and practically. Agentic AI is no longer experimental-it's production-ready, and it's here now. As the field of generative AI evolves rapidly, learning to build scalable, secure, and performant agents with Rust puts you ahead of the curve. Don't wait to catch up with the future-become one of the first engineers building it. Master the intersection of systems programming and generative AI. Build fast, safe, and intelligent autonomous agents with Rust today. Get your copy of Building Agentic AI with Rust and start coding the future of AI, now.

Agentic Ai In Action

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Author : Pascal David Bornetti
language : en
Publisher: Independently Published
Release Date : 2025-11-03

Agentic Ai In Action written by Pascal David Bornetti and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-03 with Technology & Engineering categories.

The world's smartest systems no longer follow-they lead. In Agentic AI in Action: Engineering Intelligent Agents for Real-World Automation, Pascal David Bornetti unveils the complete blueprint for building autonomous, decision-making AI systems that think, plan, and act independently. This is your essential guide to the next era of agentic artificial intelligence-where machines collaborate, learn, and manage workflows without constant human input. Designed for developers, data scientists, and tech innovators, this hands-on book blends AI theory with practical engineering using frameworks like LangChain, OpenAI API, and multi-agent orchestration. Whether you're automating complex processes or designing scalable intelligent systems, you'll learn how to harness goal-driven automation to create agents that truly think for themselves. Inside, you'll discover how to: - Architect intelligent agent systems from the ground up - Build multi-agent environments with memory, communication, and adaptive reasoning - Automate decision-making workflows using LangChain and OpenAI function calling - Integrate RAG (Retrieval-Augmented Generation) for dynamic, real-time knowledge access - Manage autonomous systems with safety, transparency, and control - Deploy, scale, and monitor your AI agents in production Packed with real-world examples and industry case studies, this book shows you exactly how to design, train, and orchestrate the next generation of AI-driven automation-agents that reason, collaborate, and execute intelligently at scale. Empower your AI to lead, not follow-this is Agentic AI in Action.

Agentic Ai Engineering For Developers

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Author : Newman Chandler
language : en
Publisher: Independently Published
Release Date : 2025-08-23

Agentic Ai Engineering For Developers written by Newman Chandler and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with categories.

Agentic AI Engineering for Developers: Design, Deploy, and Optimize Modular AI Agents with LangChain, RAG, and Local-First Ollama Workflows How do you move from clever prototypes to production-grade AI systems that developers can trust? Stateless prompts and brittle scripts aren't enough when your applications demand reliability, privacy, and cost control. Agentic AI Engineering for Developers is the practical playbook for building modular, stateful AI agents that are ready for real-world deployment. With a focus on LangChain, LangGraph, retrieval-augmented generation (RAG), and local-first Ollama workflows, this book equips you to design, deploy, and optimize agents that think, adapt, and perform with engineering discipline. You'll learn proven patterns that make your systems both powerful and manageable: Structure agents with modular components that are easy to test, swap, and scale. Implement Agentic RAG pipelines that intelligently decide when retrieval is necessary. Build GraphRAG architectures that combine knowledge graphs with vector search for multi-hop reasoning. Switch seamlessly between OpenAI's cloud APIs and Ollama's local models to balance portability, performance, and cost. Apply production safeguards: schemas for tools, idempotent handlers, circuit breakers, and dry runs. Monitor your systems with LangSmith, define golden tests, and set cost and latency thresholds directly in CI/CD pipelines. Integrate human-in-the-loop checkpoints, review flows, and privacy-first strategies to keep sensitive data under your control. Agentic AI Engineering for Developers: Design, Deploy, and Optimize Modular AI Agents with LangChain, RAG, and Local-First Ollama Workflows Clear explanations, runnable code, and engineering best practices ensure you can apply every technique immediately. Instead of one-off hacks, you'll gain the skills to architect agents that are observable, resilient, and portable from day one. Whether you're building intelligent assistants, enterprise knowledge systems, or domain-specific automation, this book helps you take the leap from fragile experiments to production-ready agents. If you're ready to engineer AI agents that perform reliably in the environments where it matters most, this is your guide. Get your copy today and start building agents with LangChain, RAG, and Ollama that developers and users, can trust.

Agentic Ai Engineering

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Author : Danny K Eland
language : en
Publisher: Independently Published
Release Date : 2025-11-21

Agentic Ai Engineering written by Danny K Eland and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-21 with Computers categories.

Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners is your definitive resource to mastering the next frontier in artificial intelligence. Designed specifically for developers, machine learning engineers, and AI practitioners, this comprehensive guide unpacks the complexities of creating fully autonomous AI agents-from initial design to deployment-in clear, practical steps. Harness cutting-edge techniques and industry best practices as you learn to build reliable, scalable, and intelligent agentic systems that operate independently and efficiently. This book blends deep technical insight with actionable strategies, empowering you to innovate confidently in AI development, automation, and autonomous system design. Whether you're enhancing AI workflows or pioneering autonomous solutions, Agentic AI Engineering equips you with the tools to stay ahead in this rapidly evolving technology landscape. Written by Danny K. Eland, a respected expert in AI engineering with years of practical experience and thought leadership, this book reflects the latest advancements in AI models, architectures, and deployment strategies for 2025 and beyond. Readers will gain a strong foundation in agent design, security, ethics, and maintenance-critical elements for successful autonomous AI systems. Ideal for developers, data scientists, and AI professionals seeking to deepen their expertise in autonomous agents, this guide is both a practical manual and a visionary outlook on the future of AI technology. Elevate your skills, streamline your AI projects, and unlock new opportunities with Agentic AI Engineering-your trusted partner in navigating the future of intelligent autonomous systems.