Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systemsKey FeaturesUnderstand the foundations and advanced techniques of building intelligent, autonomous AI agentsLearn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systemsExplore crucial aspects of trust, safety, and ethics in AI agent development and applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learnMaster the core principles of GenAI and agentic systemsUnderstand how AI agents operate, reason, and adapt in dynamic environmentsEnable AI agents to analyze their own actions and improviseImplement systems where AI agents can leverage external tools and plan complex tasksApply methods to enhance transparency, accountability, and reliability in AIExplore real-world implementations of AI agents across industriesWho this book is forThis book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.Table of ContentsFundamentals of Generative AIPrinciples of Agentic SystemsEssential Components of Intelligent AgentsReflection and Introspection in AgentsEnabling Tool Use and Planning in AgentsExploring the Coordinator, Worker, and Delegator ApproachEffective Agentic System Design TechniquesBuilding Trust in Generative AI SystemsManaging Safety and Ethical ConsiderationsCommon Use Cases and ApplicationsConclusion and Future Outlook Read more

A practical, non-technical guide for business leaders, entrepreneurs, and curious minds"Agents are (…) bringing about the biggest revolution in computing since we went from typing commands to tapping on icons." — Bill Gates"AI agents will become the primary way we interact with computers in the future.” — Satya Nadella"The age of agentic AI is here"— Jensen HuangIn a world where ChatGPT took us by storm, a far more powerful revolution is unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.However, behind the excitement lies a crucial reality: a significant gap between promise and reality.This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.Through illuminating case studies and hands-on experiments, the authors reveal:A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal lifeThe secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%Approaches to seize the new opportunities of the Agent Economy—new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunities.Hands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoptionThe new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly togetherThe profound impact of agentic AI on society, employment, education, and our personal livesAI agents create what the authors call "compounding intelligence advantages"—the more they're used, the smarter they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next business era.The question isn’t whether AI agents will transform your industry—it’s how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Read more

Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantageKey FeaturesOptimize data retrieval and generation using vector databasesBoost decision-making and automate workflows with AI agentsOvercome common challenges in implementing real-world RAG systemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGenerative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes.The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies.By the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.What you will learnUnderstand RAG principles and their significance in generative AIIntegrate LLMs with internal data for enhanced operationsMaster vectorization, vector databases, and vector search techniquesDevelop skills in prompt engineering specific to RAG and design for precise AI responsesFamiliarize yourself with AI agents' roles in facilitating sophisticated RAG applicationsOvercome scalability, data quality, and integration issuesDiscover strategies for optimizing data retrieval and AI interpretabilityWho this book is forThis book is for AI researchers, data scientists, software developers, and business analysts looking to leverage RAG and generative AI to enhance data retrieval, improve AI accuracy, and drive innovation. It is particularly suited for anyone with a foundational understanding of AI who seeks practical, hands-on learning. The book offers real-world coding examples and strategies for implementing RAG effectively, making it accessible to both technical and non-technical audiences. A basic understanding of Python and Jupyter Notebooks is required.Table of ContentsWhat Is Retrieval-Augmented Generation (RAG)Code Lab – An Entire RAG PipelinePractical Applications of RAGComponents of a RAG SystemManaging Security in RAG ApplicationsInterfacing with RAG and GradioThe Key Role Vectors and Vector Stores Play in RAGSimilarity Searching with VectorsEvaluating RAG Quantitatively and with VisualizationsKey RAG Components in LangChainUsing LangChain to Get More from RAGCombining RAG with the Power of AI Agents and LangGraphUsing Prompt Engineering to Improve RAG EffortsAdvanced RAG-Related Techniques for Improving Results Read more

Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs.From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.Author Micheal Lanham combines cutting-edge academic research with hands-on experience to help you: Understand and implement AI agent behavior patterns Design and deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools Implement robust knowledge management and memory systems Create self-improving agents with feedback loops Orchestrate collaborative multi-agent systems Enhance agents with speech and vision capabilitiesThis book teaches you to build trustworthy AI capable of handling high-stakes negotiations. You'll master prompt engineering to create agents with distinct personas and profiles, and develop multi-agent collaborations that thrive in unpredictable environments. Beyond just learning a new technology, you'll discover a transformative approach to problem-solving.About the technologyMost production AI systems require many orchestrated interactions between the user, AI models, and a wide variety of data sources. AI agents capture and organize these interactions into autonomous components that can process information, make decisions, and learn from interactions behind the scenes. This book will show you how to create AI agents and connect them together into powerful multi-agent systems.About the authorMicheal Lanham is a software and technology innovator with over 20 years of industry experience. He has authored books on deep learning, including Manning’s Evolutionary Deep Learning. Read more

Want to Implement AI Agents in Your Organization?Heard of Agentic AI & Wonder What It Is About?Need a No-BS Guide to Implementing AI Agents Today?If you answered yes to any of these questions, then keep reading…Amazon-bestselling author and AI consultant David M. Patel is going to show in this comprehensive hands-on executive guide to AI Agents everything you need to know to implement and harness the full potential of AI Agents & Agentic AI in your organization. Whether you are a business leader looking to implement a first AI Agent in your marketing or sales department, or a small business owner who wants to scale faster with intelligent automation, this book covers everything you need to know!What You’ll Discover Inside:Part I – AI Agents Explained for BeginnersWhat AI Agents & Agentic AI Really Are (Most People Get This Wrong!)The AI Agent Workflow & Why It’s a Game-ChangerA Simple Guide to How AI Agents Actually WorkThe 6 Core Technologies Powering AI Agents (Must-Know for Leaders!)The 12 Types of AI Agents & How to Choose the Right OnePart II – Applications of AI Agents10+ Best AI Agents for Marketing, Sales, Coding, Data Analysis, and MoreA Clear Decision Framework to Pick the Right AI Agent for Your NeedsHow to Automate Workflows and Free Up Time for StrategyBoost Customer Engagement by up to 70% with Multi-Modal AIPowerful AI Agent Reasoning with o1, o3, and Gemini 2.0How to Use Complex AI Agents for Data Science, Research, and Advanced Math7 Proven AI Agent Platforms & Their Best Use CasesPart III – Implementing AI Agents: A Proven 8-Step GuideThe Step-by-Step Process to Implement AI Agents in Just One MonthHow to Ensure 100% Data Security & Regulatory ComplianceHow to Build an AI-Ready Team That Drives Innovation12 Powerful Checklists for AI Agent ImplementationChange Management Strategies to Successfully Integrate AI AgentsThe Multi-Agent Future & How to Prepare for It Now3 AI Agent Trends Every Business Leader Must WatchEven if you have no prior experience with AI and feel overwhelmed by technical jargon, this book will make AI agents easy to understand and implement. Whether you’re a business leader, executive, or small business owner, you’ll get all the practical tools and step-by-step guidance to start building AI agents in your organization today!The AI Agent Era Is Here – Will You Lead or Be Left Behind?Don’t wait until your competitors leverage AI agents before you do. Grab your copy today and start transforming your business with Agentic AI! Read more

Be the Disruptor, Not the Disrupted.In the Age of AI, leadership and management are being redefined. Human Robot Agent is a concise, no-nonsense guide for leaders, entrepreneurs, and professionals who want to thrive when human and digital workers collaborate, not compete.Bestselling author Jurgen Appelo, recognized by Inc.com as a Top 50 Leadership Expert and Top 100 Leadership Speaker, is a pioneer in organization design, innovation, and agility. With a track record of reshaping management for the modern era (Management 3.0, How to Change the World, Managing for Happiness), he now tackles the current AI-driven workplace, helping leaders adapt to AI digital agents, algorithmic management, and agile business structures.Forget outdated leadership frameworks. This book arms you with real-world strategies, AI-driven teamwork models, and breakthrough management techniques designed for Industry 4.0 and the Fourth Industrial Revolution.Learn how to balance human ingenuity with artificial intelligence, build adaptive teams, and navigate the fast-changing future of work.Whether you’re a manager, founder, or tech leader, Human Robot Agent gives you the insights and tools to lead AI-powered teams with confidence. Don’t wait to adapt; shape the future before it shapes you.Innovate, Adapt, and Succeed.Discover how to integrate AI, rethink leadership, and future-proof your career. Read more

Cut through the noise and unlock the transformational power of conversational AIIn the newly revised second edition of Age of Invisible Machines, renowned tech leader Robb Wilson delivers a startlingly insightful and eye-opening blueprint for using conversational AI to make your company self-driving―with a digital ecosystem of interconnected automations powering all aspects of your business. Conversational AI is transforming every job at every company (starting yesterday) and this book is perfect for anyone affected by these technologies. You'll learn how to develop a hyperautomation strategy by identifying outdated processes and systems holding your company back. This latest edition offers brand new chapters dedicated to fast-growing automation tools, including Large Language Models, generative AI, and much more. You'll discover ways to implement new technologies that are force-multipliers for rapid growth. A must-read for every business leader, Wilson's book debunks common myths about conversational AI while simplifying the inevitable complexity of restructuring your business to unlock the substantial opportunities this new era offers. You'll also find: Incisive discussions of the ethical dilemmas that lie before us as mass adoption of conversational AI takes effectFascinating examinations of what a self-driving business looks like and how you can use conversational AI to generate an enduring competitive advantageStrategies for creating a hyperautomated ecosystem that any company can begin using immediatelyQR links to interactive and ongoing discussions of the subjects covered in each chapterA practical and essential exploration of the future of conversational AI and hyperautomation, Age of Invisible Machines belongs in the hands of entrepreneurs, founders, business leaders, tech enthusiasts, designers and anyone else with a stake in the future of business. Read more

Empower your leadership with this detailed guide for CAIOs and business leaders to drive innovation, address complex challenges, and implement ethical AI strategiesKey FeaturesExplore practical frameworks for effective AI team building and team managementImplement and Optimize AI Agents and Agentic Systems through design and implementation of AI agents.Gain actionable advice for leveraging AI to drive innovation and strategic growthPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionChief Artificial Intelligence Officers (CAIOs) are now imperative for businesses, enabling organizations to achieve strategic goals and unlock transformative opportunities through the power of AI. By building intelligent systems, training models to drive impactful decisions, and creating innovative applications, they empower organizations to thrive in an AI-driven world. Written by Jarrod Anderson, Chief AI Officer at SYRV.AI, this book bridges the gap between visionary leadership and practical execution.This handbook reimagines AI leadership for today’s fast-paced environment, leveraging predictive, deterministic, generative, and agentic AI to address complex challenges and foster innovation. It provides CAIOs with the strategies to develop transformative AI initiatives, build and lead elite teams, and adopt AI responsibly while maintaining compliance. From shaping impactful solutions to achieving measurable business outcomes, this guide offers a roadmap for making AI your organization’s competitive edge.By the end of this book, you’ll have the knowledge and tools to excel as a Chief AI Officer, driving innovation, strategic growth, and lasting success for your organization.What you will learnDevelop and execute AI strategy as a CAIO, ensuring ethical complianceMaster agile AI project management from ideation to deploymentApply deterministic and probabilistic AI concepts through case studiesDesign and implement AI agents for autonomous system optimizationCreate human-centered AI systems using proven design principlesEnhance AI security through data privacy and model protection measuresWho this book is forThis book is for chief AI officers, business leaders, AI and data science professionals, IT managers, entrepreneurs, consultants, academic leaders, policymakers, and general business professionals. This diverse audience seeks to understand not only the technical intricacies of AI, but also how to leverage AI to solve real-world business problems, drive innovation, and achieve strategic goals.Table of ContentsWhy Every Company Needs a Chief AI OfficerKey Responsibilities of a Chief AI OfficerCrafting a Winning AI StrategyBuilding High-Performing AI TeamsData – the Lifeblood of AIAI Project ManagementUnderstanding Deterministic, Probabilistic, and Generative AIAI Agents and Agentic SystemsDesigning AI SystemsTraining AI ModelsDeploying AI SolutionsAI Governance and EthicsSecurity in AI SystemsPrivacy in the Age of AIAI ComplianceConclusionAppendix Read more

Are you prepared for AI systems that don’t just follow instructions—but create their own goals?Struggling to make sense of the emerging risks posed by increasingly autonomous AI systems?Worried about how to secure, govern, and control agentic AI before it makes decisions that go beyond your intent?Want to protect your organization from reputational, legal, or financial fallout—but don’t know where to start?If so, Agentic AI: Navigating Risks and Security Challenges is for you.In this practical and beginner-friendly guide, cybersecurity expert Taimur Ijlal introduces you to the evolving world of Agentic AI—systems capable of independent decision-making, self-directed goal pursuit, and autonomous action. As a seasoned security leader and AI governance advisor, he cuts through the hype and fear to deliver clear, actionable guidance on navigating this new frontier.The difference between traditional AI and Agentic AI—and why it mattersThe new categories of risks unique to agentic systemsA breakdown of key concepts like autonomy, alignment, and intent mismatchHow to assess the risk level of any AI system using simple threat model frameworkHow to integrate Agentic AI risks into your existing cybersecurity policiesGovernance principles for organizations deploying or developing AI agentsThink you need to be a machine learning engineer to understand this? You don’t—this book was written for non-technical readers and security professionals alike.Worried it’s too early to worry about this stuff? Think again—Agentic AI is already here in enterprise tools, automation systems, and autonomous agents.Overwhelmed by AI buzzwords? This guide strips away the jargon and focuses on what you really need to know to stay protected.If you want to future-proof your knowledge and secure the AI systems of tomorrow, grab this book today. Read more

Retrieval-Augmented Generation (RAG) 2.0 represents the next evolution in building intelligent, autonomous, and scalable AI systems. It combines the reasoning power of Large Language Models (LLMs) with real-time access to external knowledge via modular pipelines, vector databases, memory layers, and agentic orchestration. As the backbone of modern AI applications—from autonomous agents to enterprise-grade copilots—RAG 2.0 enables real-world deployment of systems that plan, retrieve, reason, and adapt intelligently.Written by expert AI systems architect Nathan Steele, this book blends advanced theory with real-world application. With hands-on code using LangChain, OpenAI, FAISS, Pinecone, ChromaDB, and LangGraph, it’s grounded in the latest research and field-tested practices powering autonomous AI frameworks across leading tech companies.Agentic AI with RAG 2.0 is your definitive, step-by-step guide to designing and deploying powerful modular AI systems that reason, retrieve, and act autonomously. From data preprocessing and vector store integration to prompt optimization and multi-agent collaboration, this book walks you through every layer of building scalable, high-performance agentic AI pipelines. Each chapter includes up-to-date tutorials, fully working examples, architectural best practices, and expert insights to help you build robust, production-ready systems with confidence.What’s Inside:Modular pipeline design using LangChain and LangGraphBuilding retrieval chains with FAISS, ChromaDB, PineconeVector search tuning and hybrid retrieval strategiesTool use, memory, and multi-step reasoning for autonomous agentsFine-tuning, hallucination mitigation, and prompt engineeringSecure deployment, logging, monitoring, and failure recoveryScaling infrastructure for high availability and cost optimizationComplete blueprints for deploying agentic RAG systems in real-world applicationsThis book is for machine learning engineers, AI developers, software architects, data scientists, and technical leaders looking to build cutting-edge AI systems with agentic behavior, modular pipelines, and scalable architecture. Whether you're deploying copilots, intelligent assistants, or autonomous systems, you’ll gain the skills to implement robust RAG-powered solutions.You don’t need to spend months reading research papers or debugging fragmented tutorials. This book distills years of expert practice into one coherent, actionable guide that saves you time and gets you building from day one. Learn not just the how, but also the why behind every architectural decision—quickly.Build smarter AI now.If you're serious about AI development, this is the most comprehensive book on Agentic RAG pipelines you'll find. Grab your copy of Agentic AI with RAG 2.0 today and start building autonomous, scalable AI systems that truly understand, reason, and act. Read more

Automate AI Agents with n8n and MCPPractical Guide to Building Smart Workflows with Open Tools and Real-World Use CasesAre you ready to go beyond basic automations and connect your AI tools into powerful, self-orchestrating workflows?This hands-on guide shows you how to automate AI agents using n8n — the open-source workflow engine — and the Model Context Protocol (MCP), a fast-growing standard for tool integration with LLMs and agents.You will learn how to:Deploy self-hosted workflows using Docker + PostgreSQLUse the n8n-nodes-mcp client to connect with public or custom MCP serversTrigger and execute tools from within AI pipelinesIntegrate with platforms like Brave Search, Firecrawl, and OpenAILeverage ready-to-use templates and customize them for your needsThis book is perfect for developers, automation engineers, and AI enthusiasts looking to:Orchestrate multi-step automations using AIOperate local, private, or open-source agent infrastructureExperiment with AI tools in real-world workflows without vendor lock-inThis book is not about building autonomous multi-agent systems from scratch. It’s about connecting tools that already exist — and making them work together in powerful, flexible ways using n8n and MCP.Start building your AI-powered workflows today — with full control, flexibility, and open tooling. Read more

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. Whether you're already leading product teams or are an aspiring product manager, and regardless of your prior knowledge with AI, this guide will empower you to confidently navigate every stage of the AI product lifecycle.Confidently manage AI product development with tools, frameworks, strategic insights, and real-world examples from Google, Meta, OpenAI, and moreLead product orgs to solve real problems via agentic AI and GenAI capabilitiesGain AI Awareness and technical fluency to work with AI models, LLMs, and the algorithms that power them; get cross-functional alignment; make strategic trade-offs; and set OKRs Read more

"Agents are bringing about the biggest revolution in computing since we went from typing commands to tapping on icons." — Bill GatesMeta CEO and Facebook co-founder Mark Zuckerberg said he planned to replace mid-level engineers at his company with AI systems. What about you?What if you could wake up every day with a powerful team of AI agents working tirelessly for you — creating content, managing tasks, building your brand, and generating income 24/7?In this groundbreaking guide, you'll discover how to build your own multi-AI agent system that automates your work, amplifies your creativity, and unlocks your full potential — even if you're not a tech expert.💡 Inside this book, you'll learn:✓ How to set up your own AI-powered team to handle content creation, marketing, automation, and more; step-by-step.✓ Real-world case studies of creators, freelancers, and entrepreneurs making six to seven figures with AI.✓ How to use powerful frameworks like MCP (Model Context Protocol) to connect and scale AI agents across your entire ecosystem.✓ How to leverage Google A2A to orchestrate AI-to-AI collaboration and build scalable, autonomous workflows.✓ Tools, templates, and workflows to turn ideas into income — fast.✓ A 30-day action plan to automate your business and life with AI agents.Whether you're a solo creator, startup founder, freelancer, developer, or dreamer ready to level up, this book will show you how to think bigger, work smarter, and live freer — all by leveraging the power of agentic AI.Stop working harder. Start building your AI-powered life.📦 Bonus inside:✓ 30-Day AI Agent Automation Checklist✓ Real-Life Multi-Agent Workflow Use Cases Across Industries✓ Plug-and-Play Agent Templates & Prompts✓ Curated list of top AI tools, frameworks & shortcuts✓ List of Must-Try MCP Servers you shouldn’t miss💰 Millionaires aren’t born. They are not made by luck—they’re made by mindset.💰Are you ready to become an AI-powered millionaire? Don't wait—take control of your future and click 'Buy Now'! 💥 Read more

In our interconnected world, we face a complex cybersecurity ecosystem where digital vulnerabilities can have far-reaching consequences. Threats to digital infrastructure often impact critical physical systems, potentially causing real-world harm. With AI agents set to handle extensive personal information, data security and privacy are more crucial than ever.Human-Centered Security targets professionals designing digital products that handle sensitive data: UX designers, engineers, and product managers. It's also for those responsible for securing organizational data and systems: security engineers, CISOs, CIOs, and teams focused on risk management, legal, privacy, and compliance.These professionals influence security-related behaviors and possess deep knowledge of threats to their products or organizations. This places a significant responsibility on them to design resilient systems that encourage safer outcomes. As the stakes continue to rise in our digital landscape, their role in protecting users from evolving cybersecurity risks becomes increasingly vital.This book will help you: Focus on areas of the user experience where security impacts users the most. These are places where users are signing up, configuring a product for the first time, handling customer or patient data, or when confronted with a security or privacy-related message or warning, to name a few. Understand the dynamics of the security ecosystem. Looking at the security ecosystem from a single vantage point won’t work. Instead, you need to understand how the system design impacts users, how user actions prompt changes to the system design, how threat actors take advantage, how threat actors actions prompt changes to the system design, how users react, and on and on. Find your security UX allies. Think of a Venn diagram, with circles representing the security team, the UX team, the product team, the engineering team, the legal and privacy teams, as so on. To improve the security user experience, these circles must overlap. In other words, each group’s expertise and perspective are required to understand and design for the dynamic cybersecurity ecosystem. Ask better questions when talking to your cross-disciplinary team. These questions will help your team anticipate how users might react and how threat actors might take advantage. What to consider when designing for secure outcomes. The book examines some of the most common security user experience issues. Embrace iteration. Users will do things you didn't expect or account for. Even more importantly, threat actors will act in ways you couldn't have predicted. What was effective yesterday might not be as effective today. Read more

How to multiply human potential by adopting generative AI?Most organizations know they need to act on Gen AI but struggle with the what and how. Drawing from real-world experience, this book guides you as you move from basic chatbots to AI agents, augmenting people instead of just pushing automation.This practical guide helps leaders, teams, and AI champions build workplaces where AI multiplies human potential. Read more

Are you a local business owner or entrepreneur overwhelmed by the complexities of technology? Struggling to integrate AI into your operations without the headache of coding? Discover the ultimate solution with No-Code AI Agent Builder: A Step-by-Step Guide to Creating AI-Powered Agents for Local Businesses!This groundbreaking book is your shortcut to digital transformation—no programming skills required. Imagine having a smart assistant that works 24/7, handling customer inquiries, streamlining bookings, and boosting sales—all while you focus on what matters most: growing your business. Packed with real-world case studies, actionable step-by-step methods, and interactive exercises, this guide shows you exactly how to build, launch, and scale AI solutions tailored for local businesses.Inside, you'll find:Proven Strategies: Learn how to design, develop, and deploy AI agents using intuitive no-code platforms. Think of it as your “choose your own adventure” for AI—simple, practical, and empowering.Actionable Insights: From brainstorming creative solutions to integrating your AI with CRM systems and marketing tools, every chapter is loaded with expert advice and easy-to-follow checklists.Cost-Effective Automation: Unlock the secrets to automating repetitive tasks, reducing overheads, and improving customer engagement without breaking the bank.Future-Proof Your Business: Stay ahead of the curve with cutting-edge trends, predictive analytics, and ethical data practices that ensure your AI strategy is secure, scalable, and compliant.Whether you're new to AI or looking to refine your existing strategies, No-Code AI Agent Builder transforms complex technology into a clear, engaging roadmap for success. This book doesn’t just teach you how to build an AI agent—it empowers you to revolutionize your business and achieve lasting competitive advantage.Join the no-code revolution and turn your business challenges into opportunities for innovation and growth. Get ready to build smarter, work faster, and delight your customers like never before!Buy your copy today and start transforming your business with AI! Read more

"Build Your Own AI Agent: A Hands-On Guide for Beginners"https://digital-library.in/ai/Step into the world of Artificial Intelligence and unleash your creativity with "Build Your Own AI Agent: A Hands-On Guide for Beginners." This comprehensive guide transforms the complex world of AI into an accessible, practical, and exciting journey for students, teachers, and enthusiasts alike.Whether you’re a complete beginner or someone eager to explore AI, this book empowers you to build intelligent systems that interact, learn, and solve problems—all while understanding the ethics and innovation behind the technology.What You’ll Discover Inside:Master AI Basics: Grasp key concepts of machine learning, natural language processing, and neural networks.Step-by-Step Projects: Create chatbots, virtual assistants, and other AI-powered agents with clear instructions and real-world applications.Easy-to-Follow Tools: Explore beginner-friendly frameworks like Python, TensorFlow, and conversational AI platforms.Advanced Topics Made Simple: Learn about training models, optimizing performance, and deploying AI systems.Ethics and Responsibility: Understand the importance of building AI that is fair, inclusive, and impactful.Why This Book?AI is shaping the future, and this book puts the power of creation in your hands. It’s not just a guide—it’s an invitation to innovate, think critically, and contribute to a rapidly evolving field. With practical lessons, inspiring insights, and plenty of hands-on exercises, this book helps you create AI agents that reflect your creativity and vision.Who Is This Book For?Perfect for beginners, students, educators, and anyone curious about AI, this guide requires no prior experience. If you’ve ever dreamed of building your own AI systems, this is the book to make it happen.Why Wait? Start Building Today!The future of AI isn’t just about using technology—it’s about creating it. With "Build Your Own AI Agent," you’ll learn how to transform ideas into intelligent systems that make a real difference.Unlock the power of AI creation. Order your copy today and take the first step toward becoming an AI innovator!https://digital-library.in/ai/ Read more

Are you an entrepreneur or business leader, feeling overwhelmed by AI assistants, chatbots, machine learning, Agentic AI and the surge of Large Language Models, but don’t know how to make them work for your business? Missing out on AI and AI agents can mean lost opportunities, slower growth, and confusion in a changing market. What if you could integrate these cutting-edge tools into your business without draining your budget or getting lost in technical details?What if you could have repetitive and time-consuming tasks managed by Artificial Intelligence—freeing you, your team and your business to focus on innovation, strategic thinking, and next-level customer experiences?Whether you’re a total beginner or already know some AI basics but haven’t explored AI agents deeply, this book will guide you. Discover how AI agents can boost your daily operations, sharpen your leadership approaches, and transform your entire business. In this book, you’ll discover a straightforward path to adopting AI agents for leaders—finally empowering you to streamline workflows, boost customer satisfaction, and reclaim precious time.You will learn how to:Pick the right AI for business tools - such as AI assistants, chatbots, or LLM-based solutions to meet your specific goals, as you build a foundation understanding of machine learning.Map out a custom roadmap for deploying AI agents, from small pilot programs to larger-scale integrations, without massive disruptions or technical headaches.Leverage Agentic AI by mastering best practices in data handling, ethical considerations, and automated workflows.You’ll also find:Real-world case studies showcasing how entrepreneurs and business leaders successfully integrated artificial intelligence to streamline daily tasks.Step-by-step frameworks that align AI assistants, chatbots, and LLMs with your company culture and leadership style, ensuring smooth adoption.Easy methods for measuring ROI, helping you confidently expand your machine learning initiatives and prove the value of your investment.Long-term, actionable strategies to keep both beginners and experienced leaders agile in an ever-evolving AI landscape, so you can continue to grow and stay ahead of new opportunities and challenges.Plus you’ll receive free access to an exclusive chatbot agent designed by the author of this book to reinforce your learning experience. This bonus resource lets you test your knowledge, explore deeper insights from the book, and expand your understanding of AI agents—for free, no extra cost.Written by Narciso Silva, a veteran AI and digital transformation consultant, with over a decade of experience guiding companies in adopting AI for business success, this book combines proven strategies and encouraging success stories.Are you ready to lead the next wave of AI innovation in your business? Don’t let confusion around AI assistants, chatbots, or Agentic AI stand in your way. It’s time to embrace AI agents, transform your operations, and seize the competitive edge you deserve.Start your journey now and unlock a future of limitless growth and possibility! Read more

📘 Mastering AI Agents: A Step-by-Step Guide to Building, Expanding, and Deploying Your Own AI AssistantWant to build your own AI agent but don’t know where to start? This practical, step-by-step guide will teach you how to create, optimize, and deploy an AI assistant using Python, LangChain, OpenAI, and DeepSeek—even if you're a beginner!🔹 What You’ll Learn:✅ Build a Basic AI Agent – Create a chatbot using OpenAI’s API and LangChain.✅ Expand Its Capabilities – Add web access, automation, and voice interaction.✅ Run AI Locally – Use DeepSeek for private, offline AI without API costs.✅ Deploy Your AI – Host it on a local server, Google Colab, or as a web app.✅ Optimize & Debug – Improve accuracy with prompt engineering and troubleshoot errors.✅ Ethical AI Development – Address bias, privacy, and responsible AI usage.🔹 Who Is This Book For?✅ Beginners looking to learn AI development in a simple, structured way.✅ Developers & Tech Enthusiasts wanting to build and deploy AI tools.✅ Entrepreneurs & Businesses interested in automating workflows with AI.With hands-on examples, real-world applications, and expert insights, this book is your ultimate roadmap to mastering AI agents. Whether you’re creating a chatbot, a virtual assistant, or an AI-powered automation tool, this guide will take you from zero to AI hero!🚀 Start building your own AI assistant today! Read more

The next era of artificial intelligence is here—Agentic AI. These cutting-edge systems go beyond traditional AI by independently perceiving environments, reasoning about complex problems, learning from experience, and taking decisive action without human intervention. From autonomous vehicles and intelligent robots to adaptive industrial systems and personalized digital assistants, agentic AI is revolutionizing industries and redefining what machines can achieve. This book is your comprehensive guide to designing, building, and deploying these powerful, self-directed AI systems.Written by an industry expert with deep insights into artificial intelligence and autonomous systems, this book delivers a practical, real-world approach to mastering agentic AI. Drawing on the latest advancements in machine learning, cognitive architectures, reinforcement learning, and ethical design, this guide equips you with the tools, frameworks, and knowledge needed to create intelligent systems that not only perform but evolve and adapt in complex environments. Whether you're a developer, AI researcher, engineer, or tech leader, this book will help you stay ahead in the rapidly evolving AI landscape.What’s Inside:Deep Foundations of Agentic AI: Understand the core components—perception, reasoning, learning, and action—that power autonomous systems.Hands-On Project Development: Step-by-step guidance on building goal-driven AI agents, complete with practical coding examples and real-world applications.Advanced Technologies: Master reinforcement learning, self-supervised learning, multi-agent coordination, and cognitive architectures.Deployment at Scale: Learn scalable deployment strategies for cloud, edge, and hybrid environments while ensuring system performance and security.Ethical and Safe AI Development: Implement best practices for ethical design, safety, security, and human-aligned AI behavior.Future-Ready Insights: Explore emerging trends and prepare for the next wave of innovation in autonomous intelligence.Ready to lead the future of artificial intelligence?Get your copy today and unlock the full potential of autonomous systems, gaining the expertise to build the intelligent agents of tomorrow. Read more

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"Our Next Reality breaks new ground by exploring both good and bad possible outcomes of widespread deployment of an AI-powered Metaverse."— Neal Stephenson, Best-Selling Author/Entrepreneur"In Our Next Reality, Alvin and Louis have done a fantastic job of giving a balanced and insightful analysis to some of the most pressing questions our society will face in the near future. The material is data driven, digestible, and very actionable."— Ray Kurzweil, Author | Entrepreneur | Futurist "Finally, AI has the potential to transform VR and AR, making it essential across all human endeavors. This book brings clarity to why this really matters. Two thumbs up!"  — Peter H. Diamandis, Best-Selling Author/Entrepreneur___________________________________________________________________________Over the last 100 years, technology has changed our world. Over the next decade it will transform our reality. We are entering a new technological age in which artificial intelligence and immersive media will transform society at all levels, mediating our lives by altering what we see, hear, and experience. Powered by immersive eyewear and driven by interactive AI agents, this new age of computing has the potential to make our world a magical place where the boundaries between the real and the virtual, the human and the artificial, rapidly fade away. If managed well, this could unleash a new age of abundance. If managed poorly, this technological revolution could easily go astray, deeply compromising our privacy, autonomy, agency, and even our humanity.In Our Next Reality, two industry veterans, each with over three decades of industry experience, have provided a data-driven debate on whether the new world we're creating will be a technological utopia or an AI-powered dystopia and gives guidance on how to aim for the best future we can. With a Foreword by renowned author Neal Stephenson and section contributions from industry thought-leaders such as Peter H. Diamandis, Tom Furness, Phillip Rosedale, Tony Parisi, Avi Bar Zeev and Walter Parkes, this book answers over a dozen of the most pressing questions we face as spatial computing and AI accelerates the digitization of our world. Find out why our actions in the next decade could determine the trajectory of our species for countless millennia. ___________________________________________________________________________"Our Next Reality provides a provocative, thoughtful, and optimistic yet realistic view of our future. It paints a picture of convergent paths with symbiotic AI where human agency can be retained."— Dava Newman, Director, MIT Media Lab | Former NASA Deputy Administrator "I'm grateful that Alvin and Louis have provided us a deeply thoughtful exploration of their possible impacts. This could help us avoid some of the negative consequences that have snuck up on us with smartphones and social media, for example. For anyone who wants to use AI and XR to help build the future, read this book to help you skillfully navigate a future of unprecedented danger and promise."— Jason Hiner, Editor in Chief, ZDNet"A wide-reaching exploration of the intersections between AI, VR and AR: it's a mind-opener, and a source of reflection on how transformative and still unknown the future of communication, personal technology and even personal privacy might become."— Scott Stein, Editor at Large, CNET Read more

Reactive Publishing Uncover the secrets to designing and developing intelligent AI agents with Building Smarter AI Agents: Techniques and Best Practices. This comprehensive guide empowers developers, engineers, and tech enthusiasts to create advanced AI systems that solve real-world problems with efficiency and precision.Whether you're an aspiring programmer or an experienced AI professional, this book offers a practical, hands-on approach to mastering the techniques behind state-of-the-art AI agents. From understanding the foundational concepts to exploring advanced tools and frameworks, you'll gain the knowledge and skills needed to bring your AI projects to life.What You’ll Learn:Core Concepts of AI Agents: Dive deep into the architecture, decision-making processes, and learning mechanisms that power intelligent agents.Advanced Techniques: Master reinforcement learning, natural language processing, and multi-agent systems to develop smarter, more efficient AI solutions.Best Practices for Development: Learn how to train, optimize, and fine-tune your agents for various use cases across industries like healthcare, finance, and robotics.Hands-On Tutorials: Get practical experience with step-by-step coding examples using popular AI frameworks like TensorFlow, PyTorch, and LangChain.Scalability and Deployment: Discover how to scale your AI agents for real-world applications and deploy them effectively in production environments.Why Read This Book?Practical Insights: Learn from real-world applications and case studies to bridge the gap between theory and practice.Cutting-Edge Tools: Stay up-to-date with the latest AI technologies and frameworks.Comprehensive Approach: Covering everything from foundational concepts to advanced techniques, this book is a one-stop resource for building smarter AI agents.Who Is This For?Software developers and AI engineers looking to advance their skills.Tech enthusiasts eager to explore the world of intelligent systems.Business professionals and innovators seeking to integrate AI into their solutions. Read more

Get to grips with the LangGraph framework from theory to production-ready applications. Code examples are regularly updated to keep you abreast of the latest LangGraph and LangChain changes.Purchase of the print or Kindle book includes a free PDF eBook and all code samples. AI agents are here to stay, and LangGraph makes it easy to build them and harness their capabilities!Today’s Large Language Models (LLMs) are impressive, but let’s be real. These LLMs are still primarily just sophisticated text processors.AI Agents are LLMs on steroids. The anatomy of an agent consists of:AI_AGENT = LLM + MEMORY + TOOLS + PLANNING + DO_WHILE_LOOPThe LangGraph framework is an excellent tool for implementing and orchestrating all of these components.Simply put, AI agents are LLMs with tools, that operate in a loop to accomplish specific goals.You can assign them tasks such as:a calendar manager to schedule and manage appointments, send reminders, and suggest optimal meeting timesa personal AI Agent assistant to organize trips, book hotels and plane tickets for a destination in a given budget.These are much closer to the capabilities we expect from real AI.AI Agents can solve very complex situations thus clear communication is essential to achieve the desired results.This is where LangGraph excels. Communicating with LLMs via code leads to far more reliable results than using only natural language (prompt engineering).In this book, we’ll take you on a fun, hands-on journey where each chapter will focus on essential concepts like tool management or human in the loop validation, while also coding practical implementations of these elements using LangGraph.You can see this book as your launchpad. You'll build your first AI Agent within minutes, and slowly become competent and knowledgeable in this technology, with each chapter featuring a full practical example.Let's start learning! Read more

Discover a unique and fun approach to adopting modern typed functions programming patterns. This book uses playful metaphors and examples to help you learn Haskell through imagination, building on math without relying on imperative crutches or technical complexity. You’ll use math to build completely different Typed Functional patterns from the ground up and understand the link between building Mathematics through Types and constructing Haskell as a programming language. Intended for working with various applications, especially AI-powered apps, the book gently builds up to what are normally considered complex and difficult concepts all without needing a PhD to understand them. Illustrative explanations will guide you to tackle monads, using monad transformer stacks to structure real programs, foldable and traversable structures, as well as other Type classes. This book will also help you structure programs efficiently and apply your own abstractions to real-life problem domains. Next, you’ll explore exciting advancements in AI, including building with OpenAI APIs, creating a terminal chatbot, adding web functionality, and enhancing with retrieval-augmented generation. Finally, you’ll delve into AI multi-agents and future directions using Arrows abstraction, reinforcing Haskell’s design.Magical Haskell is a solution for programmers who feel limited by imperative programming languages but are also put off by excessively mathematical approaches.What You Will LearnGrasp a solid math foundation without complex technicalities for Types and Typeclasses.Solve problems via a typed functional approach and understand why it’s superior to what’s available in the imperative language world (“if it compiles, it runs”).Build your own abstractions to efficiently resolve problems in any given domain.Develop AI frameworks in Haskell, including chatbots, web functionality, and retrieval-augmented generation.Who This Book Is ForHaskell programmers of all levels and those interested in Type Theory. Read more

Artificial Intelligence: Data Representation and Problem SolvingArtificial Intelligence (AI) has moved far beyond laboratory research to become an essential force shaping industries, driving innovation, and unlocking new possibilities across healthcare, creativity, business, and daily life. However, many still perceive AI as a complex and inaccessible field reserved only for specialists.This book provides an intuitive yet comprehensive guide designed specifically for readers seeking practical knowledge and hands-on experience rather than theoretical complexity. It introduces the four core AI capabilities—Representation, Classification, Generation, and Exploration—and demonstrates how these can be applied across various data types including text, images, sound, and numeric data.Inside, you’ll find structured explanations and guided implementations to help you:Understand how AI systems encode, process, and interpret diverse types of data.Explore practical methods for classifying information through head-based and prompt-based techniques.Generate new, creative content with techniques such as Autoencoders, GANs, and Large Language Models.Discover how AI agents learn, make decisions, and solve problems using reinforcement learning.Ideal for students, researchers, aspiring AI professionals, and non-technical practitioners, this book requires no extensive programming background, offering clear, step-by-step practices for text, image, sound, and numeric data. By the end, readers will confidently see AI not just as a technical tool, but as a collaborative partner in solving real-world problems. Read more

You're about to become an AI specialized Patent Agent.This 'AI Handbook for Patent Agents', includes 1 month complimentary access to Complete AI Training platform with:✅ AI Video Courses; ✅ A selection of Custom GPTs for Patent Agents; ✅ 1000s of Patent Agent Prompts; ✅ AI Audiobooks & Guides; ✅ + MoreAre you a Patent Agent looking to streamline your workload and improve efficiency? Look no further than "The Artificial Intelligence Handbook for Patent Agents." This comprehensive guide delves into the world of ChatGPT and how it can revolutionize the way you approach your job.With over 1000 prompts included, this book will show you how to automate various tasks, from searching for existing patents to analyzing trends in patent filings. Say goodbye to tedious, time-consuming work and hello to a more streamlined and effective approach to patent management.Whether you're preparing detailed descriptions for patent applications or drafting communication with clients, this book will provide you with the tools and knowledge to excel in your role. Don't miss out on the opportunity to take your career to the next level with the power of artificial intelligence. Get your copy of "The Artificial Intelligence Handbook for Patent Agents" today! Read more

Unleash the Power of Conversational AI with "Mastering ChatGPT"!Are you ready to dive deep into the world of ChatGPT, the breakthrough AI technology that is changing the way we communicate, conduct business, and interact with technology? Look no further than "Mastering ChatGPT" - your premier resource for understanding, customizing, and monetizing this revolutionary technology.In today's digital age, we are witnessing an AI renaissance as language models like ChatGPT transform various industries - from customer support to gaming, and virtual assistants to education. This comprehensive, 20-chapter guide will unlock the full potential of ChatGPT and show you how to stay ahead of the competition.You will discover:-The ChatGPT phenomenon - What it is, how it evolved, and why it matters in our increasingly interconnected world (Chapters 1-2).-The fascinating science behind the ChatGPT architecture, including transformers, pre-training, and fine-tuning techniques (Chapters 3-4).-How to customize ChatGPT to suit your business and e-commerce needs, including customer support, feedback analysis, personalization of virtual assistants, and social media management (Chapters 5-8).-Using ChatGPT in immersive gaming experiences and interactive narratives, as well as designing smart tutoring schemes with AI-powered conversational agents (Chapters 9-10).-Navigating the limitations of the technology, learning to deal with biases and ethical considerations, and ensuring data privacy and security (Chapters 11-12).-Developing improved metrics to assess conversational quality and mastering advanced techniques for customization (Chapters 13-14).-Identifying profitable business opportunities and monetizing ChatGPT solutions in a way that sets you apart from the competition (Chapter 15).-Perceiving AI's future and fostering collaboration in an AI-driven ecosystem, with a special focus on OpenAI's role in shaping the chatbot industry (Chapters 16-17).-Connecting with the thriving ChatGPT community, expanding your learning resources and ensuring you stay informed on the latest developments and trends (Chapter 18).-Mastering best practices in conversational agent design and development, crucial to the successful implementation of ChatGPT (Chapter 19).-Finally, consolidating your newfound knowledge with vital closing thoughts and insights into the path to mastering ChatGPT (Chapter 20).Empower your business, stay ahead of the curve, and revolutionize the way you interact with customers by mastering the immense potential of ChatGPT! Perfect for entrepreneurs, developers, innovators, and AI enthusiasts alike, "Mastering ChatGPT" is the one-stop guide for everything you need to excel in the AI-driven conversational world of the future.Don't wait! Grab your copy of "Mastering ChatGPT" today and kickstart your journey to becoming an expert in the fast-growing field of conversational AI! Read more