Verleger: K-i-s-publishing
Jeffrey Winesett
This book is a step by step tutorial in developing a real-world application using the incremental and iterative approach to software development. You learn about agile software development by leaning on the agile nature of the Yii application development framework. You touch on each aspect of the software development lifecycle by building a project task management application from concept through production deployment.After a brief, general introduction to the Yii framework and outlining the software development approach taken throughout the book, the chapters break down in the same way as software development iterations do in real-world projects. After the 1st iteration, you will have a working and tested application with a valid, tested connection to a database.In the 2nd and 3rd iterations, we flesh out our main database entities and domain object model and become familiar with Yii's object-relational-mapping (ORM) layer, Active Record. We also learn how to lean on Yii's auto-generation tools to automatically build our create/read/update/delete (CRUD) functionality against our newly created model. These iterations also focus on how Yii's form validation and submission model works. By the end of the third iteration you will have a working application that allows you to mange projects and issues (tasks) within those projects.The 4th and 5th iterations are dedicated to user management. We learn about the built-in authentication model within Yii to assist in application login and logout functionality. We then dive into the authorization model, first taking advantage of a Yii's simple access control model, then implementing the more sophisticated role-based access control (RBAC) framework that Yii provides.By the end of the 5th iteration, all of the basics of a task management application are in place. The next several iterations are focused on the nice-to-haves. We add user comment functionality, introducing a reusable content portlet architecture approach in the process. We add in an RSS Web feed and demonstrate how easy it is to integrate other third-party tools within a Yii application. We take advantage of Yii's theming structure to help streamline and design the application, and then introduce Yii's internationalization (I18N) features so the application can be adapted to various languages and regions without engineering changes.Finally, we turn our focus to production deployment. We introduce ways to optimize performance and security to prepare the application for a real-world production environment.
AI & Data Literacy. Empowering Citizens of Data Science
Bill Schmarzo
AI is undoubtedly a game-changing tool with immense potential to improve human life.This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape.We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions.Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed.Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.
AI Agents in Practice. Design, implement, and scale autonomous AI systems for production
Valentina Alto
As AI agents evolve to take on complex tasks and operate autonomously, you need to learn how to build these next-generation systems. Author Valentina Alto brings practical, industry-grounded expertise in AI Agents in Practice to help you go beyond simple chatbots and create AI agents that plan, reason, collaborate, and solve real-world problems using large language models (LLMs) and the latest open-source frameworks.In this book, you'll get a comparative tour of leading AI agent frameworks such as LangChain and LangGraph, covering each tool's strengths, ideal use cases, and how to apply them in real-world projects. Through step-by-step examples, you’ll learn how to construct single-agent and multi-agent architectures using proven design patterns to orchestrate AI agents working together. Case studies across industries will show you how AI agents drive value in real-world scenarios, while guidance on responsible AI will help you implement ethical guardrails from day one. The chapters also set the stage with a brief history of AI agents, from early rule-based systems to today's LLM-driven autonomous agents, so you understand how we got here and where the field is headed.By the end of this book, you'll have the practical skills, design insights, and ethical foresight to build and deploy AI agents that truly make an impact.
AI Agents on AWS. Beginner's guide to building AI agents on AWS
Bunny Kaushik, Mona M, Randy DeFauw
Build reliable AI agents on AWS and move beyond prototypes with practical guidance. This book helps you design, deploy, and manage agentic systems that reason, use tools, and collaborate to solve real-world tasks.You start with the foundations of agentic AI, understanding how agents think, act, and interact. Design single-agent systems, extend them with tool and function calling, and add memory for context-aware behavior using Amazon Bedrock and SageMaker AI. You will also use LangGraph and Strands to structure agent workflows.As you progress, create multi-agent systems and orchestrate workflows where specialized agents collaborate. Learn how MCP and A2A enable communication, interoperability, and modular design across agent ecosystems.Focus on production readiness by deploying and scaling agents with Bedrock AgentCore, evaluating performance, and implementing observability, monitoring, and governance. By the end, you will be able to design and operate robust AI agent systems on AWS.
Paul Browne (GBP), ALEX PORCELLI
Microsoft Excel is widely adopted across diverse industries, but Excel Power Users often encounter limitations such as complex formulas, obscure business knowledge, and errors from using outdated sheets. They need a better enterprise-level solution, and this book introduces Business rules combined with the power of AI to tackle the limitations of Excel.This guide will give you a roadmap to link KIE (an industry-standard open-source application) to Microsoft’s business process automation tools, such as Power Automate, Power Query, Office Script, Forms, VBA, Script Lab, and GitHub. You’ll dive into the graphical Decision Modeling standard including decision tables, FEEL expressions, and advanced business rule editing and testing.By the end of the book, you’ll be able to share your business knowledge as graphical models, deploy and execute these models in the cloud (with Azure and OpenShift), link them back to Excel, and then execute them as an end-to-end solution removing human intervention. You’ll be equipped to solve your Excel queries and start using the next generation of Microsoft Office tools.
AI Blueprints. How to build and deploy AI business projects
Dr. Joshua Eckroth
AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment.The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success.The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses.This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code.
Hadelin de Ponteves
Welcome to the Robot World … and start building intelligent software now!Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch.AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
Walid SASSI, Dave Poirier, Jon Reid
AI isn’t replacing engineers, it’s developers collaborating with intelligent tools to build stronger, safer, and more maintainable applications. AI Driven Swift Architecture is your practical guide to help intermediate and senior iOS developers confidently embrace the next era of Apple development.This book takes you on an unfiltered journey into modern Swift development with Swift 6 concurrency, SwiftUI, and Clean Architecture at its core. You’ll learn how Claude Code and advanced AI assistants can accelerate feature development, improve architectural decision-making, and transform testing into a collaborative workflow.You will explore Apple’s new on-device foundation models for private, offline intelligence and put the Model Context Protocol (MCP) into practice by building custom MCP servers in Swift. From AI-powered legacy modernization to governance workflows with Request for Comments and Architecture Decision Record, every chapter focuses on real code, real patterns, and real outcomes.Whether you’re modernizing existing UIKit systems or designing scalable SwiftUI architectures from scratch, this book will offer you a repeatable workflow for shipping future ready iOS apps feature by feature, agent by agent, and test by test.
AI Explained. Uncovering the Reality, Risks, and Rewards of Artificial Intelligence
Nigel Poulton
This book leads readers on a comprehensive journey through artificial intelligence, beginning with an introduction to its foundational concepts. Early on, readers are guided through what AI is and why it’s becoming a transformative force in today’s world. They’ll then explore the technical processes behind AI creation, learning how data and algorithms power intelligent systems, making complex technology accessible and understandable.Further on, the book delves into practical applications and ethical considerations. Readers discover the positive ways AI is improving our lives, from breakthroughs in healthcare to innovations in everyday industries. Following this, it presents a balanced view of AI’s potential risks, discussing the ethical concerns and societal challenges that arise with misuse, encouraging thoughtful reflection on AI’s impact.Towards the end, the book tackles critical future challenges and solutions. It discusses the threat of rogue AI behaviors and highlights strategies to prevent AI from acting unpredictably. The final section offers an optimistic outlook on the responsible development of AI, encouraging readers to envision a future where AI can drive positive change. By journey’s end, readers will feel equipped with a nuanced understanding of AI, its real-world significance, and its ethical implications.
Oliver Theobald
The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world.The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries.The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI.
Oliver Theobald, Alan Turton
Embark on a journey through the fascinating world of artificial intelligence, designed for individuals with no technical background. This audiobook is tailored for marketers, entrepreneurs, students, and professionals who want to engage with AI from a practical and ethical standpoint, without diving into complex algorithms or coding. The audiobook begins with an exploration of AI fundamentals, providing a clear and approachable foundation of concepts, terminology, and real-world applications.As you progress, you'll encounter practical thought experiments designed to make AI's impact more tangible. Each chapter carefully guides you through essential topics such as machine learning, deep learning, and natural language processing, focusing on how these technologies are already affecting industries today. You’ll also explore the ethical implications of AI, understanding how privacy and fairness come into play when designing AI solutions.By the end of this course, you’ll be equipped with the knowledge to participate in crucial discussions and decision-making processes regarding AI in your organization or daily life. This audiobookis ideal for those who want to build a solid understanding of AI without the need for technical expertise, empowering you to think critically and responsibly about AI’s future.
Iain Anderson, Jeff Greenberg
AI for Creative Production is a practical, non-technical guide that helps digital creators, filmmakers, musicians, and writers embrace AI as a tool or collaborator—not a replacement.Beginning with a clear foundation in how modern AI works and its ethical implications, the book offers a hype-free perspective, showing where AI is genuinely useful and where it’s not. It breaks AI into three accessible categories. Starting with Utility AI, tools that help organize and enhance your work, identify the best shots, select image elements, transcribe and search videos, clean audio, and summarize text.You’ll then explore Generative AI, learning to create new text, images, video, and audio with creative control. GenAI doesn’t have to replace your work; you’ll discover tips for better prompting, tools for retouching, and fresh methods for brainstorming and ideation.Finally, you’ll uncover the potential of Automation AI to help edit videos, process photos, and build scripts that streamline your creative workflows.Packed with hands-on examples using accessible tools like Firefly, Runway, Sora, Photoshop, DaVinci Resolve, and ElevenLabs, this book equips you to integrate AI into your practice with clarity and confidence.By the end, you’ll know how to get the best from AI while preserving the unique value of human creativity in an AI-driven world.
AI Networking Cookbook. Practical recipes for AI-assisted network automation and development
Eric Chou, John Capobianco
Transform your approach to network automation with the power of AI LLM assistants guided by hands-on recipes for building custom automation solutions quickly using artificial intelligence.You’ll learn tools and techniques such as Vibe coding for conversational development, OpenAI API scripts, prompt engineering for better outputs, local LLM fine-tuning, combining models with LangChain, and Streamlit-based frontends development. The book progresses from simple Python scripts to advanced AI-assisted automation techniques, including multi-vendor API integration, showing you how AI can enhance network configuration, monitoring, security, and troubleshooting.Each recipe presents realistic mock data, complete code examples, and step-by-step guidance, creating a safe environment for experimentation while building a solid foundation for future production use. Whether you want to automate routine configuration, implement AI-driven troubleshooting, or build compliance monitoring systems, this cookbook helps you connect your networking expertise with the capabilities of modern AI.
Irene Bratsis
AI is rapidly transforming product management, presenting new challenges and business opportunities. As AI-driven solutions become more complex, product managers must bridge the gap between technological capabilities and business needs. This book provides a detailed roadmap for successfully building and maintaining AI-driven products, serving as an indispensable companion on your journey to becoming an effective AI product manager. In this second edition, you'll find fresh insights into generative AI, and responsible AI practices with the most relevant tools for building AI-powered products.Authored by a leading AI product expert with years of hands-on experience in developing and managing AI solutions, this guide translates complex AI concepts into actionable strategies. Whether you're an aspiring AI PM or an experienced professional, this book offers a structured approach to defining AI product vision, leveraging data effectively, and aligning AI with business objectives. With new case studies and refined frameworks, this edition provides deeper insights into ethical AI, cross-functional collaboration, and deployment challenges.By the end of this book, you’ll be equipped with the knowledge to drive AI product success with key techniques for identifying AI opportunities and managing risks in a rapidly evolving landscape.*Email sign-up and proof of purchase required
Anderson Soares Furtado Oliveira, Elijah Low, Marcelo...
If you’re a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you’ll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you’ll explore how to future-proof your web development projects using advanced AI strategies and understand AI’s impact on jobs. Toward the end, you’ll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain.
AI-Assisted Coding. Enhancing Programming with AI Tools and Techniques
Rheinwerk Publishing, Inc, Michael Kofler, Bernd Öggl,...
This book takes programmers through the process of enhancing their workflow using AI tools. It begins by introducing the basics of coding with AI assistants, such as GitHub Copilot and ChatGPT, and shows how these tools can assist in writing and optimizing code. The next section focuses on using AI in debugging, refactoring, and generating software documentation, helping readers master techniques for coding with AI support. Pair programming with AI is explored in detail, with practical examples demonstrating its real-world applications. The book also dives into advanced tools like Ollama and Aider, giving readers the knowledge to build local language models and integrate them into their development workflows. The final chapters highlight how AI can be incorporated into projects, enabling more efficient, innovative coding processes. By the end of the book, readers will have the necessary skills to use AI-powered tools seamlessly, ultimately improving their programming productivity and broadening their AI integration capabilities.
Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe...
AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.
AI-Native LLM Security. Threats, defenses, and best practices for building safe and trustworthy AI
Vaibhav Malik, Ken Huang, Ads Dawson
Adversarial AI attacks present a unique set of security challenges, exploiting the very foundation of how AI learns. This book explores these threats in depth, equipping cybersecurity professionals with the tools needed to secure generative AI and LLM applications. Rather than skimming the surface of emerging risks, it focuses on practical strategies, industry standards, and recent research to build a robust defense framework.Structured around actionable insights, the chapters introduce a secure-by-design methodology, integrating threat modeling and MLSecOps practices to fortify AI systems. You’ll discover how to leverage established taxonomies from OWASP, NIST, and MITRE to identify and mitigate vulnerabilities. Through real-world examples, the book highlights best practices for incorporating security controls into AI development life cycles, covering key areas such as CI/CD, MLOps, and open-access LLMs.Built on the expertise of its co-authors—pioneers in the OWASP Top 10 for LLM applications—this guide also addresses the ethical implications of AI security, contributing to the broader conversation on trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI technologies with confidence and clarity.*Email sign-up and proof of purchase required
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
Andy Pandharikar, Frederik Bussler
Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence audiobook, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
Andy Pandharikar, Frederik Bussler
Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
AI-Ready PostgreSQL 18. Building Intelligent Data Systems with Transactions, Analytics, and Vectors
Vibhor Kumar, Marc Linster, Ed Boyajian
In today’s data-first world, businesses need applications that blend transactions, analytics, and AI to power real-time insights at scale. Mastering PostgreSQL 18 for AI-Powered Enterprise Apps is your essential guide to building intelligent, high-performance systems with the latest features of PostgreSQL 18.Through hands-on examples and expert guidance, you’ll learn to design architectures that unite OLTP and OLAP, embed AI directly into apps, and optimize for speed, scalability, and reliability. Discover how to apply cutting-edge PostgreSQL tools for real-time decisions, predictive analytics, and automation. Go beyond basics with advanced strategies trusted by industry leaders. Whether you’re building data-rich applications, internal analytics platforms, or AI-driven services, this book equips you with the patterns and insights to deliver enterprise-grade innovation.Ideal for developers, architects, and tech leads driving digital transformation, this book empowers you to lead the future of intelligent applications. Harness the power of PostgreSQL 18—and unlock the full potential of your data.
Bogdan Brinzarea, Cristian Darie, Filip Chereches-Tosa
Assuming a basic knowledge of PHP, XML, JavaScript and MySQL, this book will help you understand how the heart of AJAX beats and how the constituent technologies work together. After teaching the foundations, the book will walk you through numerous real-world case studies covering tasks you'll be likely to need for your own applications:Server-enabled form-validation pageOnline chat collaboration toolCustomized type-ahead text entry solutionReal-time charting using SVGDatabase-enabled, editable and customizable data gridRSS aggregator applicationA server-managed sortable list with drag&drop support using the script.aculo.us JavaScript toolkitThe appendices guide you through installing your working environment, using powerful tools that enable debugging, improving, and profiling your code, working with XSLT and XPath.From the Author, Cristian Darie AJAX and PHP: Building Responsive Web Applications is mainly a book for beginners, but when designing its contents we tried to find the ideal blend of topics that would help both novice and experienced web developers make a big step forward. One customer was very kind to let us know, through a review, that we succeeded:The theory behind all the technologies used is very clearly explained, without boring you with details about obvious things. Right from the first chapter you start learning by examples. The examples can be easily adapted to many web projects and they cover stuff that is both useful and fun.Here are a few examples of such useful and fun things that you can find in this book:details on using proxy scripts to work around the security measures in modern browsersclient-side and server-side code that doesn't break when fed with special characters (such as
Akka Cookbook. Recipes for concurrent, fast, and reactive applications
Vivek Mishra, Héctor Veiga Ortiz
Akka is an open source toolkit that simplifies the construction of distributed and concurrent applications on the JVM. This book will teach you how to develop reactive applications in Scala using the Akka framework.This book will show you how to build concurrent, scalable, and reactive applications in Akka. You will see how to create high performance applications, extend applications, build microservices with Lagom, and more.We will explore Akka's actor model and show you how to incorporate concurrency into your applications. The book puts a special emphasis on performance improvement and how to make an application available for users. We also make a special mention of message routing and construction.By the end of this book, you will be able to create a high-performing Scala application using the Akka framework.
Madhur Bhargava
Amazon Echo is a smart speaker developed by Amazon, which connects to Amazon’s Alexa Voice Service and is entirely controlled by voice commands. Amazon Echo is currently being used for a variety of purposes such as home automation, asking generic queries, and even ordering a cab or pizza.Alexa Skills Projects starts with a basic introduction to Amazon Alexa and Echo. You will then deep dive into Alexa Programmingconcepts such as Intents, Slots, Lambdas and maintaining your skill’s state using DynamoDB. You will get a clear understanding of how some of the most popular Alexa Skills work, and gain experience of working with real-world Amazon Echo applications. In the concluding chapters, you will explore the future of voice-enabled applications and their coverage with respect to the Internet of Things.By the end of the book, you will have learned to design Alexa Skills for specific purposes and interact with Amazon Echo to execute these skills.