Practical Ai Engineering

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Practical Ai Engineering

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Author : Juno Darian
language : en
Publisher: Independently Published
Release Date : 2025-07-25

Practical Ai Engineering written by Juno Darian and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.

Build, Deploy, and Scale Real-World AI Systems-From Foundation Models to Full-Stack Production Pipelines Are you ready to move beyond tutorials and toy models into the real world of scalable, production-ready AI? Practical AI Engineering is your complete, no-fluff, hands-on guide to building modern AI applications from scratch to mastery. Whether you're aiming to become a full-stack AI engineer, deploy cutting-edge LLMs (Large Language Models), or bring real-time Retrieval-Augmented Generation (RAG) systems into production, this book takes you there-step by step. Written for engineers, ML practitioners, and developers who want more than just theoretical knowledge, this book equips you with battle-tested workflows, system design patterns, and toolchains used by top AI teams. What You'll Master Inside This Book: AI Engineering from the Ground Up - Learn what AI engineering really means: beyond models, into systems - Master the end-to-end AI lifecycle (Design → Deploy → Maintain) - Think like a systems engineer for real-world impact The Full Toolkit for Modern AI Engineers - Python patterns, TensorFlow vs. PyTorch, FastAPI, HuggingFace, LangChain - Data pipelines, Docker, Kubernetes, and GitOps workflows - Experiment tracking, versioning, and CI/CD automation LLMs, Transformers, and Prompt Engineering in Practice - Understand how GPT models work and scale - Use OpenAI APIs and HuggingFace models efficiently - Apply few-shot, chain-of-thought, and retrieval-augmented strategies - Implement LLMOps for inference, caching, and cost control Retrieval-Augmented Generation (RAG) and GraphRAG - Chunking, embeddings, and vector databases (FAISS, Pinecone, Qdrant) - Build RAG systems with LangChain, FastAPI, and custom memory - Go beyond text: create knowledge-augmented LLMs with Neo4j and GraphRAG - Complete projects: Legal QA bots, research assistants, scalable chatbots Agentic AI and Multi-Tool Orchestration - Build agents that use tools like Web Browsing, SQL, and PDFs - Explore LangChain Agents, OpenAgents, AutoGen frameworks - Monitor hallucinations, plan actions, and design recovery flows - Ensure safety, logging, and performance in agentic systems Production-Ready Deployment with Docker & Kubernetes - Package LLMs and APIs into portable containers - Use docker-compose and Helm charts for orchestration - Deploy scalable clusters with GPU access and autoscaling - Implement health probes, registries, and versioned microservices Observability, Evaluation & Continuous Delivery - Monitor LLM drift, RAG relevance, and real-time model metrics - Run A/B tests, feedback loops, and prompt re-ranking - Automate your ML pipelines using GitHub Actions + MLflow - Set up failover, alerts, and canary deployments Ethical and Global AI Deployment - Handle bias, safety, privacy, and data sovereignty - Harden APIs against adversarial prompts and jailbreaking - Deploy inclusive systems across global and non-Western contexts Among others.. BONUS: Companion Project Repositories + Cheat Sheets Real projects: RAG chatbots, GraphRAG assistants, LLM agents If you're looking for a deeply practical, industry-relevant, and project-driven book to help you master modern AI engineering-this is it. Perfect for: - AI/ML engineers and full-stack developers - Backend engineers diving into LLMs and RAG - Technical founders building AI-powered products Join the future of AI development - become a practical AI Engineer.

Practical Ai Agent Engineering

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Author : Luther C Hansen
language : en
Publisher: Independently Published
Release Date : 2025-07-19

Practical Ai Agent Engineering written by Luther C Hansen and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.

Practical AI Agent Engineering: Cloud, Edge, and Multi-Agent Strategies for Real-World Scalability Facing the challenge of building scalable, reliable AI agent systems that perform seamlessly across cloud and edge environments? Practical AI Agent Engineering: Cloud, Edge, and Multi-Agent Strategies for Real-World Scalability offers the definitive guide for developers and engineers ready to master the architecture and deployment of intelligent agents in complex, production settings. This book presents a clear, hands-on approach to designing, orchestrating, and managing AI agents that work cohesively across distributed infrastructures. Learn how to build modular, plug-and-play agents, implement multi-agent coordination protocols, and leverage cloud and edge technologies for efficient deployment. Security, compliance, continuous monitoring, and automated upgrades are integrated into practical workflows to ensure your systems remain robust and future-ready. Readers will gain expertise in: Architecting modular, scalable AI agents suitable for diverse environments Applying containerization and orchestration tools like Docker and Kubernetes for deployment Implementing secure API access and fine-grained permission models Managing multi-agent communication with event-driven and Agent2Agent protocols Designing continuous integration and over-the-air update pipelines for edge devices Embedding AI agents into organizational workflows with human-in-the-loop strategies Navigating compliance requirements and ethical considerations in enterprise AI Are you ready to elevate your AI projects from prototypes to production-grade systems? This book equips you with the practical skills and architectural insights necessary to build intelligent agent ecosystems that scale efficiently, operate securely, and adapt to evolving business demands. Whether you are an AI engineer, system architect, or DevOps professional, Practical AI Agent Engineering provides the structured guidance and expert knowledge to confidently engineer the next generation of AI-driven solutions. Equip yourself with the tools to deliver AI agents that perform reliably in the real world-start transforming your AI development process today.

Ai Roadmap For Electrical Engineers

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Author : Evan M Calderon
language : en
Publisher: Independently Published
Release Date : 2025-09-18

Ai Roadmap For Electrical Engineers written by Evan M Calderon and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-18 with Technology & Engineering categories.

AI Roadmap for Electrical Engineers: A Practical Guide to Adoption and Application Subtitle: Practical AI for Electrical Engineers: A Roadmap of Use Cases and Workflows Are you an electrical engineer curious about how Artificial Intelligence (AI) can transform your profession? This book is your hands-on roadmap to adopting AI in real-world engineering tasks - from quick productivity hacks to advanced applications like digital twins and predictive maintenance. Written for practicing engineers, students, and technical managers, this guide takes you step by step through practical use cases, showing how AI tools can save time, reduce errors, and enhance design quality while keeping compliance and safety at the forefront. What's Inside:

The Azure Ai Engineering Bible

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Author : Roberto D Stroud
language : en
Publisher: Independently Published
Release Date : 2025-11-04

The Azure Ai Engineering Bible written by Roberto D Stroud and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-04 with Computers categories.

Have you ever wondered what it truly takes to become an expert in AI development on cloud platforms? Are you tired of generic guides that only scratch the surface, leaving you with more questions than answers? If so, The Azure AI Engineering Bible was written with you in mind. This is not just another technical book filled with abstract concepts and theory. It is a hands-on, practical reference designed specifically for developers, engineers, and technology enthusiasts who demand real-world solutions that actually work. From understanding the core foundations of AI to mastering advanced cloud-based machine learning workflows, this book walks you through every step of building intelligent systems with clarity and precision. Have you ever struggled to connect the dots between AI concepts and actual implementation? Here, you'll explore the entire Azure AI ecosystem in a structured and approachable way. You'll learn how to design, deploy, and manage AI models, integrate them with intelligent APIs, and create solutions that scale efficiently. Every chapter is packed with detailed explanations, real-life examples, and actionable insights so you can immediately apply what you learn to your own projects. Are you aiming to accelerate your career as an AI engineer or level up your technical skills for practical applications? This book provides guidance on best practices, responsible AI, and ethical considerations, ensuring that your solutions are both powerful and trustworthy. You'll gain the confidence to navigate complex AI workflows, optimize performance, and implement secure, scalable systems in professional environments. Whether you are building predictive models, designing conversational agents, or exploring edge and real-time AI applications, this book equips you with the knowledge and tools needed to succeed. It also includes guidance on certification, team collaboration, and building AI-driven solutions for industries ranging from healthcare and finance to smart cities and education. If you've been searching for a comprehensive, trustworthy, and hands-on resource that bridges the gap between theory and practical application, The Azure AI Engineering Bible is your go-to guide. It's not just about learning AI-it's about mastering it in a way that transforms ideas into working solutions. Are you ready to take control of your AI journey and create solutions that make a difference? This book gives you the roadmap, the insights, and the confidence to make it happen.

Ai Engineering For Beginners

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Author : James Douglas
language : en
Publisher:
Release Date : 2025-04-17

Ai Engineering For Beginners written by James Douglas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.

Ready to dive into the world of artificial intelligence-but not sure where to start? This beginner-friendly guide gives you the tools, confidence, and clear step-by-step strategies to build real-world AI systems from scratch-no PhD required. Whether you're a curious learner, career changer, or aspiring developer, AI Engineering for Beginners walks you through the essentials of machine learning, neural networks, data pipelines, model deployment, and responsible AI practices. You'll build your first models, learn the tools professionals use, and gain the skills to pursue a career in one of the most exciting fields in tech. Inside this book, you'll learn: What AI engineering is-and how it's different from research or data science How machine learning works (including supervised, unsupervised, and reinforcement learning) How to collect, clean, and prepare real-world data How to build, train, and evaluate your own AI models How to deploy models using tools like Docker, FastAPI, and cloud platforms How to think critically about AI ethics, bias, and transparency What jobs exist in AI-and how to build a portfolio that gets you hired Written in a friendly, accessible style inspired by bestselling educators, this book turns intimidating concepts into understandable, actionable knowledge. Whether you're just curious or ready to start building, AI Engineering for Beginners is your launchpad into the future of intelligent systems.

Practical Ai Engineering With Codex Cli Gemini

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Author : Clifford C Sowders
language : en
Publisher: Independently Published
Release Date : 2025-11-29

Practical Ai Engineering With Codex Cli Gemini 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 2025-11-29 with Computers categories.

Practical AI Engineering with Codex CLI & Gemini: Transform Everyday Coding, Testing, and Deployment Through Intelligent Developer Automation Every developer has faced the same pressure: deliver features faster, maintain higher code quality, and keep up with growing complexity-all without adding more hours to the day. What if your coding tools could take on the repetitive work, support your decisions, and accelerate every stage of your workflow? Practical AI Engineering with Codex CLI & Gemini gives you a complete, real-world blueprint for transforming the way you write, test, refactor, and ship software. This book goes far beyond basic AI-assisted coding. It shows you how to use Codex CLI, Gemini models, and the Agents SDK to automate high-value engineering tasks while keeping human judgment and safety at the center of the process. You'll learn how to turn everyday development routines into intelligent, reliable, and repeatable workflows. From generating new modules and cleaning up legacy code to writing tests, reviewing pull requests, orchestrating multi-service changes, and even preparing deployments-each chapter shows you how to integrate AI tools into your engineering practice with confidence. You will gain practical skills such as: Using Codex CLI and Gemini for code generation, refactoring, and multi-file editing Building automated test suites and integrating them with CI pipelines Structuring projects so AI agents operate safely and consistently Combining Gemini's reasoning with Codex's precision for hybrid workflows Reviewing AI-generated diffs with guardrails that maintain code reliability Automating releases, packaging, changelog creation, and deployment prep Scaling AI automation for solo developers, small teams, and larger engineering groups Adapting your workflows as models evolve, ensuring long-term maintainability Focused, actionable, and engineered for real results, this book is your guide to working faster without sacrificing quality. Whether you want to reduce repetitive work, modernize a legacy codebase, or introduce intelligent automation across your entire development pipeline, you'll find clear patterns and tested strategies you can apply immediately.

Practical Data Ai For Engineers

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Author : Practicing Engineers Network
language : en
Publisher: Independently Published
Release Date : 2025-10-10

Practical Data Ai For Engineers written by Practicing Engineers Network and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-10 with Computers categories.

Practical Data & AI for Engineers Applied Machine Learning, Data Pipelines, and AI Integration in Engineering Projects In today's engineering world, data and artificial intelligence are no longer optional - they are essential. Practical Data & AI for Engineers bridges the gap between traditional engineering practice and the new era of intelligent automation, predictive analytics, and digital twins. This hands-on guide provides a real-world, engineering-focused introduction to applied machine learning, data management, and AI-driven solutions. It shows how engineers across disciplines - electrical, mechanical, civil, and industrial - can use data pipelines, models, and automation tools to enhance design, operations, and maintenance. What You'll Learn How to collect, clean, and manage engineering data from sensors, PLCs, and SCADA systems. Building data pipelines for real-time monitoring and analytics. Practical machine learning models for predictive maintenance, fault detection, and optimization. AI integration strategies for control systems, HVAC, power distribution, and manufacturing. Tools and workflows for implementing AI at scale - from the field to the cloud. With clear diagrams, simplified explanations, and step-by-step use cases, this book helps engineers adopt AI confidently without requiring advanced programming skills. Whether you're a design engineer, facility manager, or project leader, this book will guide you through every stage of your digital transformation - from understanding data sources to deploying your first AI model. Part of the Practical Engineering Series by the Practicing Engineers Network (PEN) Your trusted reference for engineering design, calculations, and modern technology applications. This book is part of the Practical Engineering Series by the Practicing Engineers Network (PEN) - a collective of professionals dedicated to bridging the gap between theory and practice across all branches of engineering. Whether you're an electrical engineer automating substation monitoring, a mechanical engineer building predictive models for pumps, or a civil engineer exploring AI-based structural analysis, you'll find practical insights tailored to your domain.

The Complete Ai Engineer Roadmap

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Author : Steven J Maranto
language : en
Publisher: Independently Published
Release Date : 2025-11-12

The Complete Ai Engineer Roadmap written by Steven J Maranto and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-12 with Technology & Engineering categories.

The Complete AI Engineer Roadmap: Step-by-Step Skills, Practical Projects, and Insider Tips for Fast-Track Career Results Breaking into AI engineering-or leveling up-can feel overwhelming. New tools appear every week, job requirements shift constantly, and competitors often seem two steps ahead. How do you build the right skills, choose the right projects, and position yourself for real career growth without wasting years on the wrong path? This book gives you a clear, structured answer. The Complete AI Engineer Roadmap lays out a practical, end-to-end system for becoming a high-impact AI engineer, supported by real projects, actionable workflows, and the exact skills companies are hiring for today. Instead of scattered tutorials or vague theory, you get a focused path designed to help you gain competence faster, build a standout portfolio, and deliver production-ready AI systems with confidence. You'll master the foundations-programming, math, data handling, machine learning, deep learning, and modern LLM workflows-then progress through hands-on projects that elevate your skills from beginner to advanced. You'll learn how professional AI engineers think, build, ship, and maintain real systems, while also sharpening your system design, MLOps, prompt engineering, and cloud deployment capabilities. Along the way, you'll gain the strategic habits, communication patterns, and leadership insights that distinguish rising engineers from those who stay stuck. By the end of this book, you'll know how to: Build complete AI solutions from data ingestion to deployment Apply machine learning and deep learning techniques to real problems Work confidently with LLMs, RAG pipelines, agents, vector databases, and multimodal models Design production-grade data pipelines, model registries, and monitoring systems Create a powerful portfolio with projects that demonstrate real engineering depth Prepare for interviews with system design, modeling, and prompt engineering insights Strengthen your long-term career with clear 12-month and 36-month action plans Whether you want a career transition, a promotion, or the ability to ship end-to-end AI systems on your own, this is the comprehensive guide that shows you exactly how to get there.

Practical Ai Development

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Author : Nathan R Esse
language : en
Publisher: Independently Published
Release Date : 2025-09-16

Practical Ai Development written by Nathan R Esse and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.

Unlock the Power of AI and Build Real-World Applications Today! Artificial Intelligence is no longer a distant dream-it's a tool you can use right now to create intelligent, impactful applications. Whether you're a developer, entrepreneur, or tech enthusiast, Practical AI Development gives you the hands-on guidance you need to turn AI concepts into real-world solutions. This book takes you step by step through the entire process of building AI applications using foundation models, prompt engineering, and modern AI workflows. You'll learn how to navigate the complex AI landscape with confidence, making the right choices for models, datasets, evaluation methods, and deployment strategies. Inside, you'll discover how to: Master foundation models: Understand what they are, how they work, and how to use them to build powerful applications. Leverage prompt engineering: Craft prompts that produce accurate, reliable, and creative outputs. Develop complete AI workflows: Go from idea to prototype to production-ready applications with a structured, practical approach. Fine-tune and adapt models: Customize pre-trained models for your specific needs without starting from scratch. Deploy applications efficiently: Handle latency, cost, and scalability challenges so your apps run smoothly in real environments. Evaluate performance: Learn how to test applications, measure success, and improve outcomes continuously. Explore advanced techniques: Build multimodal applications, create autonomous AI agents, and integrate complex workflows. What sets this book apart is its practical, hands-on approach. Every concept is explained in simple, easy-to-understand language, with real examples and actionable advice. No unnecessary jargon. No abstract theory. Just the knowledge and tools you need to create intelligent applications that actually work. Whether you're building chatbots, recommendation engines, content generators, or other AI-powered tools, this book gives you the confidence and skills to succeed. By the end, you'll not only understand AI-you'll know how to apply it to solve real problems and deliver real results. Stop reading about AI and start building with AI. Practical AI Development is your complete guide to creating intelligent, scalable, and practical applications using the latest AI techniques.

Practical Ai On The Google Cloud Platform

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Author : Micheal Lanham
language : en
Publisher:
Release Date : 2020-12-08

Practical Ai On The Google Cloud Platform written by Micheal Lanham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with categories.

AI is complicated, but cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. In this book, AI novices will learn how to use Google's AI-powered cloud services to do everything from analyzing text, images, and video to creating a chatbot. Author Micheal Lanham takes you step-by-step through building models, training them, and then expanding on them to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, this book will get you up and running with Google Cloud Platform, whether you're looking to build a simple business AI application or an AI assistant. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI, AutoML Tables, the Cloud Inference API, the Recommendations AI API, and BigQuery ML Perform image recognition using CNNs, transfer learning, and GANs Build a simple language processor using embeddings, RNNs, and Bidirectional Encoder Representations from Transformers (BERT) Use Dialogflow to build a chatbot Analyze video with automatic video indexing, face detection, and TF Hub