Practical Ai Development
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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 Development With Python
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Author : Chris Evans
language : en
Publisher: Independently Published
Release Date : 2025-08-16
Practical Ai Development With Python written by Chris Evans and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
What if you could build your own intelligent systems-step by step-using nothing but Python and the power of AI? Have you ever wondered how chatbots understand language, how recommendation engines know what you want, or how image recognition systems can detect faces in photos? With Practical AI Development with Python: Building 8 Smart Systems with Neural Networks and Deep Learning, you'll discover exactly how these technologies work-and more importantly, how to create them yourself. This hands-on guide takes you beyond theory into real-world coding projects. You won't just learn about artificial intelligence-you'll build it from scratch. Through eight carefully crafted projects, you'll explore natural language processing, computer vision, deep learning models, and neural networks, while mastering the tools that drive today's most exciting AI applications. Whether you're a student, aspiring developer, or professional looking to sharpen your skills, this book equips you with the knowledge and confidence to bring your own AI ideas to life. What You'll Gain From This Book Step-by-Step Projects - Build 8 real AI systems including chatbots, image classifiers, recommendation engines, and more. Hands-On Python Coding - Learn by doing with fully explained code examples you can run, test, and expand. Master Core AI Concepts - Understand neural networks, deep learning frameworks, and how to apply them in practice. Practical Applications - Solve real-world challenges with tools like TensorFlow, Keras, and PyTorch. Career-Boosting Skills - Build a strong portfolio of AI projects to showcase to employers or clients. Key Features 8 real-world AI projects built from scratch Clear, beginner-friendly explanations without unnecessary jargon Covers natural language processing, computer vision, and recommendation systems Includes complete Python code, ready to modify and extend A perfect blend of learning theory and building practical solutions Artificial Intelligence isn't just the future-it's here now. Why just read about it when you can build it? Scroll up and grab your copy of Practical AI Development with Python today, and start creating intelligent systems that shape tomorrow's world!
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
Practical Artificial Intelligence With Swift
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Author : Mars Geldard
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-03
Practical Artificial Intelligence With Swift written by Mars Geldard and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Computers categories.
Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more. AI is increasingly essential for every developer—and you don’t need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple’s Python-powered Turi Create and Google’s Swift for TensorFlow to train and build models. I: Fundamentals and Tools—Learn AI basics, our task-based approach, and discover how to build or find a dataset. II: Task Based AI—Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models. III: Beyond—Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to
Practical Ai On The Google Cloud Platform
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Author : Micheal Lanham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-10-20
Practical Ai On The Google Cloud Platform written by Micheal Lanham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
Working with AI is complicated and expensive for many developers. That's why 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. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video. Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI and AutoML Tables Build a simple language processor using deep learning systems Perform image recognition using CNNs, transfer learning, and GANs Use Google's Dialogflow to create chatbots and conversational AI Analyze video with automatic video indexing, face detection, and TensorFlow Hub Build a complete working AI agent application
Practical Ai For Healthcare Professionals
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Author : Abhinav Suri
language : en
Publisher: Apress
Release Date : 2021-12-14
Practical Ai For Healthcare Professionals written by Abhinav Suri and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Computers categories.
Practical AI for Healthcare Professionals Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions. You’ll start by learning how to diagnose problems as ones that can and cannot be solved with AI. You’ll then learn the basics of computer science algorithms, neural networks, and when each should be applied. Then you’ll tackle the essential parts of basic Python programming relevant to data processing and making AI programs. The Tensorflow/Keras library along with Numpy and Scikit-Learn are covered as well. Once you’ve mastered those basic computer science and programming concepts, you can dive into projects with code, implementation details, and explanations. These projects give you the chance to explore using machine learning algorithms for issues such as predicting the probability of hospital admission from emergency room triage and patient demographic data. We will then use deep learning to determine whether patients have pneumonia using chest X-Ray images. The topics covered in this book not only encompass areas of the medical field where AI is already playing a major role, but also are engineered to cover as much as possible of AI that is relevant to medical diagnostics. Along the way, readers can expect to learn data processing, how to conceptualize problems that can be solved by AI, and how to program solutions to those problems. Physicians and other healthcare professionals who can master these skills will be able to lead AI-based research and diagnostic tool development, ultimately benefiting countless patients.
Practical Ai Agent Development
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Author : LAWRENCE. MPANGA
language : en
Publisher: Independently Published
Release Date : 2025-04-24
Practical Ai Agent Development written by LAWRENCE. MPANGA and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.
Master the Art and Science of Building Autonomous AI Agents That Deliver Real Results In today's rapidly evolving AI landscape, autonomous agents represent the next frontier of intelligent systems. But how do you build them effectively, when should you deploy them, and what safeguards ensure they operate reliably? PRACTICAL AI AGENT DEVELOPMENT cuts through the hype to deliver a comprehensive, hands-on guide for developers, engineers, and decision-makers who need to implement AI agents that solve real-world problems. Inside This Essential Guide, You'll Discover: What is an agent? - Understand the fundamental characteristics that define AI agents and how they differ from traditional AI systems When should you build an agent? - Learn strategic frameworks for evaluating use cases and determining when agent-based solutions deliver maximum value Agent design foundations - Master the architectural principles and design patterns that create robust, effective agent systems Guardrails - Implement essential safety mechanisms and operational boundaries to ensure responsible deployment Unlike theoretical treatments of AI, this book focuses on practical implementation with real-world examples, code patterns, and proven architectures you can apply immediately. Whether you're building your first AI agent or optimizing existing systems, you'll find actionable insights on every page. Perfect For: Software developers and engineers implementing AI solutions Technical leaders evaluating AI agent opportunities Data scientists transitioning to agent-based approaches Product managers overseeing AI initiatives By the final chapter, you'll possess both the technical knowledge to build effective agents and the strategic vision to deploy them where they deliver maximum impact. Your journey to mastering practical AI agent development starts here. Get your copy today!
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 Roadmap
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Author : Vectormind Publishing
language : en
Publisher: Independently Published
Release Date : 2025-06-19
Practical Ai Roadmap written by Vectormind Publishing and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Business & Economics categories.
What You Will Learn in This Book Gain a foundational understanding of Artificial Intelligence (AI), including its core concepts, historical development, and the distinct characteristics of various AI technologies like Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. Identify and evaluate practical AI opportunities across diverse industries such as healthcare, finance, retail, and manufacturing, understanding how AI can solve common business problems and enhance daily life. Develop a strategic roadmap for AI implementation within your organization, learning how to align AI initiatives with business objectives, assess readiness, and prioritize projects for phased adoption. Master the principles of data management for AI, encompassing effective data collection, crucial preprocessing techniques, robust data storage solutions, and best practices for data security and privacy. Acquire the knowledge to build, deploy, and maintain AI models, including selecting appropriate tools and technologies, navigating the model development workflow, integrating AI into existing systems, and ensuring continuous performance monitoring and iteration. Analyze real-world AI case studies to understand successful applications in areas like customer service enhancement, predictive maintenance, personalized marketing, and fraud detection, extracting valuable lessons for your own initiatives. Discover how to leverage AI to enhance your personal life, from maximizing smart assistants and wearable devices to utilizing AI for health, wellness, and personalized learning. Prepare for the future of AI, understanding emerging trends like Explainable AI (XAI) and Generative AI, adapting to the evolving workforce, and navigating the ethical and regulatory landscape of artificial intelligence. Develop the critical thinking skills necessary to engage with AI responsibly, recognizing AI-generated content and advocating for ethical AI practices.
Artificial Intelligence Machine Learning
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Author : Mrs. Haritha V
language : en
Publisher: RK Publication
Release Date : 2024-06-28
Artificial Intelligence Machine Learning written by Mrs. Haritha V and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.
Artificial Intelligence & Machine Learning the fundamentals, advancements, and practical applications of AI and ML. Covering key concepts, algorithms, and tools Readers with insights into machine learning models, neural networks, natural language processing, and computer vision. Suitable for beginners and professionals alike, the book balances theory and hands-on examples to equip readers with the skills needed to design intelligent systems. It delves into ethical considerations and future trends, offering a comprehensive overview for anyone interested in understanding or developing AI and ML technologies.