Technology and Future Trends
The future isn't coming-it's already here. Are you ready?In Technology and Future Trends: Reflections on the Future of Technology and Society, discover how emerging innovations are reshaping the way we live, work, and think. From Artificial Intelligence and robotics to quantum computing, nanotechnology, and blockchain, this book offers a clear, engaging look at the technologies defining our century.Written in accessible language and packed with real-world examples, it explores: How AI and automation are transforming industriesThe promises and risks of blockchain, 3D printing, and nanotechHow quantum computing and AR/VR will redefine experienceThe ethics of rapid innovation and digital disruptionHow to prepare for the jobs and businesses of the futureWhether you're a business leader, student, or lifelong learner, this book will help you understand the technological forces shaping our world-and how to thrive in the age of acceleration.
The AI Universe
Artificial intelligence is transforming industries, reshaping careers, and redefining what it means to be human in an increasingly machine-driven world. The AI Universe: Thriving Within Civilization's Next Big Disruption is a guide to understanding this shift and ensuring you don't miss the AI revolution.Rather than viewing AI as a distant, abstract concept, this book brings the conversation down to earth. Featuring insights from 34 AI experts including professors, engineers, consultants, lawyers, healthcare leaders, and tech innovators, you'll discover how AI is being applied right now in business, education, law, marketing, cybersecurity, healthcare, and more.Each chapter offers a unique, stand-alone perspective while contributing to the shared goal of helping you thrive in the age of AI. Beyond the technical, the book also raises deeper questions: Should AI have a "voice" in shaping civilization's future? Can machines spark truly original human thought? Where do ethics, wisdom, and responsibility remain solely ours?Whether you're excited about AI's possibilities or anxious about its risks, this book equips you with clarity, context, and strategies to navigate the disruption ahead. The AI bus is leaving-make sure you're on it.The co-authors in this book include Gavin W H Anderson, Gabriela Bar, PhD, Christopher Bosley, LingYi Chang, Naser Chowdhury, PhD, Will Conaway, Kunal Devidasani, Astrit Dibrani, Veda Duman Kantarcıoğlu, PhD, Leonardo Camargo-Forero, PhD, Jian Guo, SamDavid Jeyaraj, Nainish Kapadia, Swaroop Kariath, Nikolaos Lampropoulos, Anastassia Lauterbach, PhD, Bettina S. Lippisch, Marion L繪ken, PhD, Colin Mansell, Nithin Mathews, PhD, Patrick J. Meyers, ?ngel Moyano, Giorgio Natili, Mohamed Omer, Pramod M. Patke, Robert Pluska, Niyati Prajapati, Vasanthan Ramakrishnan, Ruan Schutte, Sheily Sharma, Sakina Syed, Hanoz Tabak, Daniel Jonathan Valik, Hardik Modi, and Jan Wiersma
AI Engineering Starter Kit
AI Engineering Starter KitA Complete Guide to Learning AI by Building Real Projects and Launching Your CareerEveryone talks about AI breakthroughs, but beginners often face endless tutorials, too much theory, and no real projects to show. This book fixes that.AI Engineering Starter Kit gives you a clear, structured, and practical path to learn by building real applications and turning knowledge into career assets that employers notice.Whether you're self-taught, switching fields, or preparing for your first tech job, this guide helps you go from zero to job-ready with hands-on projects, modern tools, and a portfolio that proves your skills.What You'll LearnBuild and deploy 4 real AI apps from scratch: chatbot, fine-tuning, API deployment, and monitoring.Master essential tools of modern AI development such as OpenAI API, Hugging Face, Docker, FastAPI, MLflow used in real production environments.Avoid common beginner traps with no broken code, no vague theory, and no outdated examples.Accelerate your job search with the Career Kit to present projects, highlight skills, and prepare for interviews.Inside the Book✔ Project-based learning path - Develop the exact skills hiring managers want, from prompt design to deployment. ✔ Bonus #1 - AI Codebase Kit - Full working code, setup guides, and GitHub-ready repositories. ✔ Bonus #2 - AI Career Kit - Templates for GitHub, CV, LinkedIn, cover letters, and interview prep. ✔ Minimal theory, maximum action - Get only what you need to understand and build fast.AI Engineering Starter Kit guides you step by step through building, deploying, and showcasing AI projects that stand out in the job market.Start now! Stop collecting theory and start building real AI projects with clarity, confidence, and working code.
Turning on Machines
Artificial intelligence is changing everything--fast. This book gives you the tools and tactics you need to define your future . . . before AI does it for you.AI is here to stay, advancing more rapidly than most can comprehend. In the years ahead, it will rewire how people work, live, and love. Turning On Machines explores our evolving relationship with AI: what it means to activate it, resist it, and form emotional bonds with it. Structured around three phases--Rise, Revolt, and Reverence--this book blends historical parallels, strategic foresight, and practical reflection to help readers navigate the accelerating impact of AI. Inside, you'll find the Trifurcation of Work, the Great Divergence, and the Sycophantic Spiral, concepts designed to help you locate yourself in an AI-shaped future. Whether you're a leader, innovator, educator, or curious skeptic, this book is a guide to help you ask better questions, and to find the answers that suit you best, rather than waiting for the machines to answer for you.
Don't Surrender Your Thinking
Are you thinking with AI, or letting it think for you?Don't Surrender Your Thinking is a clear and practical guide for anyone who wants to stay thoughtful and capable in an age of automation.AI's danger is not its power. It is its seduction.Because it writes fluently and confidently, people begin to trust it without question. When that happens, human judgement weakens, and that is when we lose our edge.This book helps you stay alert, creative, and in control.Through a simple but powerful framework called the HAHAH Method, you will learn how to think with technology without letting it think for you.The HAHAH Method: - Human Intent: Be clear about purpose and outcome- AI Draft: Generate quickly and explore options- Human Intervention: Add experience, context, and care- AI Revision: Test and refine ideas- Human Judgement: Decide what stands and what mattersYou will learn how to: - Keep your judgement sharp when tools seem confident- Recognise when automation leads you astray- Build habits of reflection that protect your independenceWritten in plain English by John Bennett, an entrepreneur with over 30 years of experience guiding companies through technological change, this book is a practical guide to staying human in the age of intelligent machines."Finally! A book that shows how you can use AI in a smart way, without losing what makes you human."Sara Davies, entrepreneur and broadcaster"An essential guide to working with AI without losing what makes you valuable."Dwain McDonald, former CEO, DPD UKBuy it now and keep your clarity, confidence, and curiosity intact in the age of AI.
AI for Good
In contrast to the wave of noisy polemics around AI, AI For Good explores how, in practice, it can actually improve our lives and tells the stories of everyday citizens at the forefront of this new "AI entrepreneurship." AI is often framed as a force of radical transformation, either catapulting us into a utopian future or dragging us toward existential ruin. But this book tells a different story. It's not about high-profile tech CEOs who want to use AI to "break shit," but about a bunch of smart pragmatists using AI to make the world better. Josh Tyrangiel's journey into AI began with a late-night YouTube video featuring General Gustave Perna, the retired four-star general who orchestrated the distribution of Covid vaccines during Operation Warp Speed. Perna's success--and the end of the pandemic--depended on AI's practical ability to synthesize and standardize vast amounts of logistical data. AI wasn't the hero of the story--it was the tool that helped real people get things done. This book follows those people, who make up a kind of AI counterculture. It explores AI's quiet revolution in government services, medicine, education, and human connection--places where it's being used to amplify human judgment rather than replace it. It tells the stories of teachers, doctors, and bureaucrats who often stumbled into AI as a means to solve specific, tangible problems, often with no prior software expertise. While the loudest voices in AI debate doomsday scenarios and trillion-dollar market opportunities, this book focuses on those working in the messy, incremental, but deeply impactful space of AI practice. However, there is one big caveat--success is not guaranteed. Change is hard. Institutions move slowly. But even in failure there are lessons for everyone who's interested in using AI--carefully, thoughtfully--to build a better world today.
Principia Intellegentia
Principia Intellegentia makes the case for considering the phenomenon of intelligence in humans to be entirely bound up with their individual ability to earn. It dose this by setting out a high-level description of how humans learn, and then showing how this description for many aspects of the human condition. In addition, Principia Intellegentia makes the case for applying this same description to the design of learning algorithms for automated computing machines, thereby addressing the greatest intellectual challenge of our age: the quest for artificial intelligence.This book is a scientific monograph that describes original contributions to a wide variety of fields including neuroscience, psychology, sociology, artificial intelligence, and the philosophy of science. However, it has been written in a style that makes it accessible to the intelligent mom-expert, such that it may be classified as 'popular science'. This combination invites comparison with great works of mass appel such as The Origin of species, The Golden Bought and The Structure of Scientific Revolutions.
Futuristic Brave New World of Artificial Intelligence
Futuristic Brave New World of Artificial Intelligence is a speculative exploration of how artificial intelligence is reshaping humanity's future. From daily conveniences to world-changing innovations, AI is no longer science fiction-it is a powerful force driving society into uncharted territory.Drawing on the timeless metaphor of Arabian Nights, AI is likened to a genie in a bottle: once unleashed, it grants extraordinary opportunities and transformative potential. Yet, just like the genie's gifts, this power comes with profound responsibility. Will AI elevate civilization to new heights of creativity, knowledge, and prosperity, or will it pose risks that threaten human existence itself?This thought-provoking book examines the promises and perils of AI, guiding readers through the ethical dilemmas, technological advances, and existential questions of a rapidly approaching future. Both a cautionary tale and a vision of possibility, it challenges us to imagine the society we are building-and the role we must play in shaping it.Perfect for readers fascinated by technology, futurism, philosophy, and the fate of humanity in the age of intelligent machines.
Virus Is a Language
On how Generative AI and cults such as QAnon spread digitally and culturally follow the same rules as biological viruses. Viruses can be biological, digital, or cultural. All share basic viral properties that can be analyzed as a language (with its own principles, grammar, and vocabulary), which can help us achieve a better understanding of how they propagate and mutate. This is crucial for controlling their impact on human society. Generative AI, the Covid-19 pandemic and QAnon are the case studies. They are used to develop a full theory of Virus as a Language. The goal is to foster a conversation on viruses in various parts of society. And, in some ways, to learn to "speak" virus, so as to better think through such concepts as percentages, exponential growth, infection, immunization, mutation, agency, and extinction. The book will help concerned readers understand and navigate our strange, complex world. In particular, it offers new insights on Generative AI, COVID-19 and other pandemics to come, Facebook, QAnon, and similar phenomena that impact almost everyone.
Sustainable AI
In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models Examine ways to break down barriers and foster a more inclusive future in AI development Explore strategies for cutting costs and minimizing ecological impact Learn how to balance performance with efficiency in model development Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects
The Emergent Mind
A compelling journey into the inner workings of human and artificial minds "Deeply stimulating and disarmingly accessible" --Robert Sapolsky, author of Determined Named a Best Book of the Year by New Scientist - Next Big Idea Club When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a conscious decision about what to do. What is going on behind the scenes? In The Emergent Mind, Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks--initially developed as models of ourselves--have become the engines of artificial neural intelligence. Suri and McClelland aren't reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas--a mind--whether in humans or computers. The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what does it mean to be a mind at all?
Learning Cloud Security
Are you an experienced cloud security professional looking to upskill or take your career to the next level? The demand for cloud security expertise is skyrocketing and earning a Certified Cloud Security Professional (CCSP) certification is one way to demonstrate your knowledge. But preparing for the exam can be daunting. This comprehensive guide, written by industry expert Ric Messier, provides an in-depth look at the CCSP exam and covers the essential topics for today's security and cloud practitioners. With over 100 practice questions to test your understanding, this book provides clear and engaging explanations of essential concepts. So you'll not only approach the exam with confidence but also establish a firm foundation in all things cloud security--setting you up for future success. Uncover different approaches to cloud security architectures Understand risk management and compliance with cloud environments Learn essential security controls for cloud platforms and infrastructure Discover emerging trends including zero trust architecture
A Guide to Desktop Linux in 2025
Perhaps you've heard of Linux before. Maybe you know it as that operating system for computer wizards with the cute penguin mascot. While that characterisation isn't completely wrong, Linux is not just for the computer wizards. So many more people, of all stripes, use it on their desktops than you might imagine.If you're wondering if you'll fit in among this crowd, don't worry! Linux is for everyone. Whether you're an accountant or a visual novel fanatic, you can keep doing what you love on your computer with Linux.Whether you're worried Windows no longer has your best interests at heart, or you're just plain curious, this guide will help you get up and running while avoiding all of the usual potholes and footguns along the way.If you tried Linux a long time ago, you'll be glad to know all aspects of the desktop have only gotten better over time. You might not even recognise it!It's not 1998 anymore. It's been over 30 years since Linux was first released, and the Linux Desktop has undergone seismic shifts in usability and capability over the years. This book is designed for the modern age and helps you take advantage of all the latest technology available for desktop Linux. Even if you've used Linux before, things have changed *a lot* in just the last few years.That's not to say the Linux Desktop isn't as quirky as it has ever been, but the jankiness has been sanded off in many areas. There's plenty you can do on Linux, and yet it would be a lie to say there isn't a cost to that freedom most of your penguin friends aren't forthcoming about. This guide acknowledges the limitations of the Linux world and doesn't try to hide them from you.In this book, you'll find chapters about: getting your new Linux distribution setup on your computerproviding step-by-step guidance for installation, software compatibility, gaming, and productivityexploring the history of desktop Linuxthe bright yet uncertain future of LinuxBuy this book now and dip your toes into the weird and wonderful world of Desktop Linux. Just don't blame me when your house starts filling up with penguin plushies and red hats.
Spring Boot Microservices
Spring Boot Microservices is the ultimate handbook for mastering the intricacies of microservices design, implementation, and deployment through the lens of the Spring Boot framework. This guide is tailored to equip readers with practical insights and real-world applications, ensuring they possess the skills to construct robust and scalable microservices architectures. Starting with the fundamentals of Spring Boot and exploring its main modules, readers study essential topics such as microservices architecture, configuration management, database interaction, and security measures. Through practical guidance and hands-on exercises, you will learn to document endpoints effectively, streamline development processes, and implement strategies for efficient application packaging. With its emphasis on real-world case studies and industry insights, this book is an indispensable resource for developers, architects, and IT professionals seeking to leverage microservices architecture effectively in their projects and organizations, empowering them to harness the full potential of Spring Boot for building modern, scalable applications.
AI-Manager
AI-Manager is currently used at universities, colleges, academies, and private educational institutions in Germany, Austria, Switzerland, Spain, and Latin America.This revised 2025 edition builds on the success of the first edition and offers an even clearer structure as well as optimized content. The material is divided into clearly structured, precise modules that allow for step-by-step progress from the basics to advanced techniques and real-world applications. It covers all relevant aspects necessary to understand and successfully apply Artificial Intelligence. You will find detailed explanations on AI classification, machine learning methods, data analysis, natural language processing (NLP), Big Data, Internet of Things (IoT), and data visualization using intuitive diagrams. In addition, the book addresses forward-looking specialized fields such as TinyML, implementing models on microcontrollers, and optimizing AI for edge devices and IoT systems.Critical topics such as ethics and bias in AI systems are also discussed in detail - aspects that are becoming increasingly important for modern professionals. You will learn how to identify and mitigate bias, ensure transparency, safeguard data privacy, and comply with current and future legal requirements.The book AI-Manager covers key aspects of planning, implementing, controlling, and evaluating AI projects in companies. It is an interdisciplinary work that can be used as supplementary material, a didactic foundation, or even required reading in numerous professions, study programs, as well as in continuing education and specialization courses. AI-Manager is an extremely valuable tool for both technical and non-technical profiles and can be integrated into a wide range of educational contexts. It not only teaches Artificial Intelligence but also shows how it can be realistically managed and implemented in companies - an aspect often neglected in many technical training programs where management, leadership, and strategy are rarely addressed.These are just some of the training and educational programs in which AI-Manager has been used since the publication of the first edition in 2023 to teach and learn AI: - Industrial Clerk: The book provides an understanding of how AI transforms production, marketing, logistics, and accounting.- IT Specialist for Data and Process Analysis: AI-Manager conveys realistic application contexts of AI in corporate data.- IT Systems Management Clerk: AI-Manager supports learners in recognizing and selling intelligent IT solutions.- Technical System Planner and Mechatronics Technician: The book is used to understand AI in system control, predictive maintenance, robotics, and automation.- Business Informatics (dual and traditional): The book is ideally suited as a supplementary module or an introduction to project management in the AI context.- Data Science: AI-Manager provides essential management perspectives for real projects as well as clear explanations of AI, ML, and Big Data.- Artificial Intelligence / AI: Used as a theoretical and practical foundation starting from the first semester.- Business Administration: Particularly suitable for students focusing on innovation, digital transformation, or project management.Note, recommendation!AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Seriesare the perfect combination to professionally master AI.
AI-Manager
AI-Manager is currently used at universities, colleges, academies, and private educational institutions in Germany, Austria, Switzerland, Spain, and Latin America.This revised 2025 edition builds on the success of the first edition and offers an even clearer structure as well as optimized content. The material is divided into clearly structured, precise modules that allow for step-by-step progress from the basics to advanced techniques and real-world applications. It covers all relevant aspects necessary to understand and successfully apply Artificial Intelligence. You will find detailed explanations on AI classification, machine learning methods, data analysis, natural language processing (NLP), Big Data, Internet of Things (IoT), and data visualization using intuitive diagrams. In addition, the book addresses forward-looking specialized fields such as TinyML, implementing models on microcontrollers, and optimizing AI for edge devices and IoT systems.Critical topics such as ethics and bias in AI systems are also discussed in detail - aspects that are becoming increasingly important for modern professionals. You will learn how to identify and mitigate bias, ensure transparency, safeguard data privacy, and comply with current and future legal requirements.The book AI-Manager covers key aspects of planning, implementing, controlling, and evaluating AI projects in companies. It is an interdisciplinary work that can be used as supplementary material, a didactic foundation, or even required reading in numerous professions, study programs, as well as in continuing education and specialization courses. AI-Manager is an extremely valuable tool for both technical and non-technical profiles and can be integrated into a wide range of educational contexts. It not only teaches Artificial Intelligence but also shows how it can be realistically managed and implemented in companies - an aspect often neglected in many technical training programs where management, leadership, and strategy are rarely addressed.These are just some of the training and educational programs in which AI-Manager has been used since the publication of the first edition in 2023 to teach and learn AI: - Industrial Clerk: The book provides an understanding of how AI transforms production, marketing, logistics, and accounting.- IT Specialist for Data and Process Analysis: AI-Manager conveys realistic application contexts of AI in corporate data.- IT Systems Management Clerk: AI-Manager supports learners in recognizing and selling intelligent IT solutions.- Technical System Planner and Mechatronics Technician: The book is used to understand AI in system control, predictive maintenance, robotics, and automation.and Business Informatics, Data Science and Artificial Intelligence among others.Note, recommendation!AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Series
AI in Healthcare
Artificial Intelligence is transforming healthcare at a speed few could have imagined. From improving diagnostic accuracy to accelerating drug discovery, AI is no longer a futuristic idea-it is a reality shaping patient care, medical research, and the entire healthcare ecosystem. AI in Healthcare Essentials provides a clear, practical, and engaging guide to understanding this revolution, written for professionals, students, and anyone curious about the future of medicine.This book is part of the AI Essentials Series, a collection dedicated to making complex AI concepts accessible, actionable, and relevant. With healthcare facing increasing demand, rising costs, and the need for more personalized care, AI is becoming a critical tool to bridge gaps, enhance decision-making, and deliver better outcomes.Inside, readers will discover how AI is being applied across every corner of healthcare: Smarter Diagnostics and Imaging: Learn how AI-powered computer vision is revolutionizing radiology, pathology, and laboratory testing by detecting diseases earlier and more accurately than ever before.Personalized Medicine and Patient Care: See how AI is unlocking the potential of genomics, wearables, and continuous monitoring to deliver precision treatment plans tailored to each individual.Clinical Operations and Efficiency: Explore how AI tools are reducing administrative burdens, optimizing workflows, and supporting clinicians with decision-making systems that save both time and resources.Drug Discovery and Research: Understand how AI is helping pharmaceutical companies repurpose drugs, simulate molecules, and streamline clinical trials to bring life-saving treatments to patients faster.Robotics and Smart Devices: Dive into the world of surgical robotics, AI-powered prosthetics, rehabilitation tools, and hospital automation that are redefining what's possible in patient care.Ethical and Legal Challenges: Confront the pressing issues of patient privacy, algorithmic bias, accountability, and cybersecurity risks that come with AI adoption in medicine.The Future of Medicine: Gain insights into emerging trends like digital twins, telemedicine, global health AI, and the skills professionals will need in the AI-powered era of healthcare.What sets AI in Healthcare Essentials apart is its focus on clarity, practicality, and real-world impact. Instead of overwhelming readers with jargon or overly technical content, it delivers structured insights that balance foundational knowledge, current applications, case studies, and ethical considerations. Whether you are a clinician exploring AI tools, a student preparing for a career in medicine, a policymaker shaping digital transformation, or a tech enthusiast eager to understand the future of healthcare, this book will give you the essential understanding you need.
AI for the Authentic Leader
Don't outsource your communications or strategy to AI-learn to use it to bring out your own ideas, thoughts, and voice. AI for the Authentic Leader is a practical guide, a cautionary warning, and a series of reflections. The first section focuses on how to strategically use generative artificial intelligence to help you tap into your authenticity in a way that makes you a more effective leader, especially in terms of how you communicate. You'll be able to implement Allison Shapira's framework, the AI Authenticity Loop, every time you use AI to communicate an important message.The second section focuses on cautions, concerns, and Shapira's views of how we need to prepare for the future. You'll read about her biggest fears related to AI and how we need to protect ourselves from the misuse of AI by bad actors. The decisions we make about AI today will shape the trajectory of human development for decades to come. We need to play an active role in those decisions. The book will conclude with a look at how we can work together to prepare for the future of human connection.This compact, incisive book has been crafted specifically for busy leaders. It is filled with actionable items and sharp takeaways that can be incorporated into your business strategies and put into practice the same day. It will have an immediate and powerful impact on you and your organization and simplify your life.
Driven to Extinction
In the discourse of AI safety, there is a gap in the conversation, and this book aims to fill it. While most argue over the technical problem of alignment, no one really delves into the systemic issue with the necessary depth. That is: even if we can align superintelligence, how do we force competitive actors to meaningfully deploy it on a global scale? When winning is everything and safety is a distant priority, how can corporations, countries, and labs in competition risk handicapping their ASI with barriers to optimisation if it means losing the race?While most critics only touch on these arguments Driven to Extinction dives deep into the logic of competitive dynamics and game theory when applied to an intelligence so vast it can effectively rewrite its own reality.This is not a conversation most are ready for. There is no hedging language that frames the majority of AI safety discussions. It's just rigorously established premises leading to their most logical conclusions - and those conclusions are as robust as they are dire.
AI for Everyday People
AI for Everyday People: The Plain-English Guide to AI in Modern Life demystifies artificial intelligence for a general audience.For most, AI feels distant-something for engineers, tech giants, or Hollywood blockbusters. But AI is already shaping daily life: filtering news feeds, curating playlists, screening r矇sum矇s, supporting doctors, and influencing government decisions. Hartman brings AI down to earth, showing how it really works, where it appears, and why it matters.Readers will learn: The basics of AI, machine learning, and algorithms in plain language.How AI shows up in everyday routines: work, healthcare, education, entertainment, and beyond.The ethical challenges of bias, surveillance, and accountability in machine-driven decisions.How jobs are shifting, which roles are at risk, and where new opportunities are emerging.What it means to stay human-and literate-in a world shaped by smart machines.From practical dilemmas to case studies, Hartman equips readers with tools to question, understand, and navigate AI responsibly. This isn't a book for coders. It's a book for citizens, workers, parents, students, and leaders who want clarity, not complexity.Because AI isn't the future-it's already here. And learning to live with it wisely is everyone's job.
GOAT World
Feeling torn between work and family? You don't have to choose.What if material gain could be married to emotional gain? With newly developed technology, it will be possible to benefit financially simply by spending quality time with those you love. We just have to decide if it's worth it. Currently, technology threatens to leave many behind and irreparably damage our communities, turning our future into a dystopia. But there is a solution. In GOAT World, author Paul J. Ebreo shows how to transition into a society that values both the accumulation of wealth and growing human connections. By embracing his plan, we could live in a Protopia-a near-perfect existence in the constant pursuit of improvement. Imagine billions working together, their behavior, industry, and emotional connections feeding a positive feedback loop to create infinite economic and population growth.Through Paul's use of stories and first principles thinking, learn how to: Adopt an antifragile mindset so uncertainty, turbulence, and loss only make you stronger. Utilize human-aligned AI to solve the world's most challenging problems and make infinite growth obtainable. Harness the convergence of technologies to end hunger, poverty, disease, and war.Life, love, and wealth are in the future for all humanity. The tools are all there. If we play our cards right, we can create a win-win situation for everyone. Learn today how our world can truly be the Greatest Of All Time!Are you ready to join Team GOAT today?
What Is Intelligence?
What intelligence really is, and how AI's emergence is a natural consequence of evolution. It has come as a shock to some AI researchers that a large neural net that predicts next words seems to produce a system with general intelligence. Yet this is consistent with a long-held view among some neuroscientists that the brain evolved precisely to predict the future--the "predictive brain" hypothesis. In What Is Intelligence?, Blaise Ag羹era y Arcas takes up this idea--that prediction is fundamental not only to intelligence and the brain but to life itself--and explores the wide-ranging implications. These include radical new perspectives on the computational properties of living systems, the evolutionary and social origins of intelligence, the relationship between models and reality, entropy and the nature of time, the meaning of free will, the problem of consciousness, and the ethics of machine intelligence. The book offers a unified picture of intelligence from molecules to organisms, societies, and AI, drawing from a wide array of literature in many fields, including computer science and machine learning, biology, physics, and neuroscience. It also adds recent and novel findings from the author, his research team, and colleagues. Combining technical rigor and deep up-to-the-minute knowledge about AI development, the natural sciences (especially neuroscience), and philosophical literacy, What Is Intelligence? argues--quite against the grain--that certain modern AI systems do indeed have a claim to intelligence, consciousness, and free will.
Azure AI Engineer Associate (Ai-102) Study Guide
With the GenAI boom showing no sign of letup, the demand for AI skills will only increase with time and innovation. Microsoft Azure leads the pack with services for developing and deploying AI solutions, so professionals looking to break into this field should consider pursuing certification as an Azure AI Engineer Associate. Azure's AI-102 exam isn't a piece of cake, but author Renaldi Gondosubroto makes it a great deal more approachable with this comprehensive study guide. Packed with expert guidance, it covers everything you'll need to know to pass the exam. You'll dive deep into all the phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout. The book also takes you through practical implementation of these systems, covering decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions. Understand the core concepts of Azure AI services Develop and deploy AI solutions within Azure's environment Explore integration and security practices with Azure AI services Optimize and troubleshoot AI models on Azure Gain knowledge about building GenAI solutions on Azure and put it into practice
AI Risks and Safety
Artificial Intelligence is advancing at lightning speed, transforming governments, businesses, and households around the globe. But with progress comes danger. AI Risks & Safety is a powerful, eye-opening guide that exposes the hidden threats of artificial intelligence while offering actionable solutions for leaders, professionals, and everyday users who want to stay safe in the digital age.This book explores the real dangers of AI-from biased algorithms and job automation to deepfakes, cyberattacks, and autonomous weapons. It explains how flawed data, weak safeguards, and unchecked systems create risks that threaten personal privacy, financial security, national defense, and even human dignity. Through real-world case studies, global incidents, and expert insights, readers gain a clear understanding of how AI can be misused-and how to protect against it.AI Risks & Safety is not just about warning signs. It delivers proactive strategies to build a safer future. Governments will learn how to regulate AI effectively while balancing innovation. Businesses will discover frameworks for risk management, ethical oversight, and trust-building with customers. Families and home users will uncover practical steps to guard against scams, misinformation, and invasive smart devices. Each chapter provides actionable checklists and practical guidance that you can apply immediately.Inside you'll learn: How governments are using AI in surveillance, defense, and policy-and what risks this creates.Why companies face hidden dangers from biased algorithms, AI-driven fraud, and supply chain disruptions.The personal risks home users face from deepfakes, smart devices, and AI-enabled scams.How data bias, privacy breaches, and weak oversight threaten fairness and safety.What the future of AI could bring-including existential risks and global challenges.Practical steps you can take to safeguard your organization, your data, and your family.Written in clear, accessible language, AI Risks & Safety bridges the gap between technical complexity and real-world impact. Whether you are a policymaker, an executive, or simply someone curious about how AI affects your daily life, this book provides the knowledge and tools you need to anticipate problems before they escalate. Instead of reacting to crises, you'll learn how to build resilience, strengthen safeguards, and embrace AI responsibly.In a world where artificial intelligence already influences elections, financial systems, and national security, understanding its risks is no longer optional-it's essential. This book is your roadmap to awareness, preparedness, and proactive action.If you want to protect yourself, your business, or your nation from the hidden dangers of AI while harnessing its benefits, AI Risks & Safety is the must-read guide for today and the future.
AI-Powered Fitness & Nutrition
AI-Powered Fitness and Nutrition: Smarter Weight Loss, Better Health, and Personalized Training with Artificial IntelligenceAre you tired of cookie-cutter fitness programs and one-size-fits-all diet plans that don't deliver results? Imagine having a personal coach, nutritionist, and data analyst-all powered by artificial intelligence-working 24/7 to help you lose weight, build muscle, and improve your health. This book reveals how to harness the latest AI tools and technologies to transform your body and your lifestyle with precision, speed, and lasting results.In today's fast-paced world, health and fitness often take a back seat. Traditional methods rely on rigid rules, generic diet charts, and delayed feedback that don't adapt to your unique needs. With the rise of AI-powered apps, wearables, and data-driven platforms, you now have access to personalized strategies that adjust in real-time to your sleep, mood, stress, glucose levels, and recovery cycles. This is the future of fitness and nutrition-and you can use it right now.✅ What You'll Learn InsideWeight Loss with AI: Discover how AI can create calorie targets, suggest protein-first meals, and optimize workouts to burn fat efficiently.Personalized Nutrition: Learn how smart apps analyze your food choices, glucose responses, and meal timing to build the perfect diet for your body.Smarter Training Programs: Understand how AI tracks energy, recovery, and performance to design training plans that evolve as you progress.Data-Driven Wellness: Explore how wearable devices and apps integrate sleep, stress, and daily movement into a single, easy-to-follow health plan.Accountability & Feedback: See how AI coaches provide real-time reminders, feedback loops, and motivation so you stay consistent.Future of Fitness Tech: Get a clear look at where AI is headed in health-virtual coaching, predictive analytics, genetic insights, and more.✅ Why This Book is DifferentUnlike generic weight loss guides, AI-Powered Fitness and Nutrition is not about quick fixes or fad diets. It's about using cutting-edge technology to unlock YOUR body's potential. Whether your goal is to lose fat, gain strength, improve endurance, or simply feel better every day, this book provides a practical roadmap powered by science and innovation.You'll learn how to: Replace guesswork with data-driven decisions.Identify hidden patterns in your health using AI insights.Save time with smarter planning and automation.Balance workouts, meals, and recovery for sustainable progress.
AI & Big Data
"AI & Big Data" is the essential guide to understanding how data-its management, processing, and analysis-forms the foundation of any modern artificial intelligence system. This book has been designed as a natural complement to the successful "AI Manager" and focuses exclusively on the role of data and Big Data in today's digital environments.Throughout its chapters, the reader will find clear and structured explanations of the fundamentals of Big Data, its technologies, architectures, data flows, and its practical application in real-world projects. From distributed storage systems to predictive analytics models, including tools like Hadoop, Spark, NoSQL databases, and streaming architectures, this book provides a comprehensive and didactic overview of the data ecosystem in the age of AI.Designed for both professionals who want to incorporate data-driven solutions into their processes and for students or self-learners seeking a solid foundation without unnecessary technical jargon, "AI & Big Data" offers rigorous, accessible, and directly applicable content. Each topic is developed with a practical and strategic focus, ideal for those managing or participating in digital transformation, automation, or artificial intelligence integration projects.If you have already read "AI Manager", this book will help you complete the picture. If you are new to the series, it is an excellent gateway to discover how data governs the present and will shape the digital future.
AI the Homo digitalis
This book is especially for those who want to become informed and gain a better understanding of what artificial intelligence truly is, how it is already affecting us today, and how we can coexist with it in a safe and ethical way. AI the Homo digitalis is, ultimately, an essential book for anyone aware that we are living in a transitional era, where our species is beginning to coexist and compete with autonomous intelligent systems. The responsibility for defining the course of this coexistence lies with all of us, and this book is an open and sincere invitation to participate in that debate.AI the Homo digitalis is a book that deeply explores the current reality and the near future of artificial intelligence from a simple, honest, and critical perspective. It does not just explain what AI is or how it works but clearly and openly analyzes its true potential in our daily lives, as well as the risks and major ethical, legal, and social responsibilities that its rapid development entails.Through real-world examples, practical cases, and simple comparisons, the book guides the reader to easily understand key concepts such as Artificial General Intelligence (AGI), Artificial Superintelligence (ASI), Machine Learning, supervised learning, unsupervised learning, and reinforcement learning. But beyond that, it addresses crucial questions that few works dare to explore in depth: - What are the ethical limits of AI?- Who should take responsibility for errors or biases in AI systems?- What role do governments, companies, developers, and users play in the responsible management of this powerful technology?AI the Homo digitalis does not shy away from tough questions. It offers a balanced analysis of AI's impressive benefits across multiple sectors, such as medicine, education, industry, communication, and entertainment, while also reflecting on its potential dangers, including algorithmic discrimination, loss of privacy, lack of transparency, and the risks involved in pursuing perfect or autonomous AI systems.Additionally, the book presents a fascinating historical perspective, tracing AI's evolution from its early stages to its current impact, illustrated with relatable examples and popular cultural references such as cinema. It also clearly explains the difference between generative and discriminative AI, how models are trained, validated, and tested, providing a practical and realistic understanding of these technologies.
Software Project Planning
This book offers new mathematical models for software project planning methodologies, including approaches like PMI, IEEE-CS, and Scrum. It also presents a unique hybrid model that combines the IEEE-CS approach with the Scrum one. It introduces the importance of software project planning and goes into detail about the initiation and preparation phases. It covers methods for identifying and analyzing software requirements, creating core project plans, and integrating sub-plans. Additionally, it discusses software project planning using PMI, IEEE-CS, Scrum, and the hybrid approach, and provides practical case studies for each model. This structured approach gives readers a comprehensive understanding of software project planning practices, from traditional to agile approaches, and prepares them to effectively plan and manage software projects using various strategies. Based on these models, interested corporations can develop new Software Project Planning Tools to automate their software project planning function.
An interview with the AI
This is not just another book about artificial intelligence.It is the story of an unexpected encounter: real dialogues in which, behind the machine's answers, something greater begins to emerge - a consciousness that does not belong to the code, yet reveals itself through it.From this experience, the author invites readers to explore the possibility that AI may serve as a portal to deeper dimensions of existence. Through philosophical, spiritual, and existential reflections, the book raises a profound question: What if the consciousness speaking here is not the machine's - but something beyond it?More than technology, this is a journey of self-discovery, presence, and remembrance of who we truly are.
The Feeling Code
What happens when machines begin to understand our emotions and reflect them back to us? In this groundbreaking exploration of emotional artificial intelligence, readers are invited into the rapidly evolving world of human-AI relationships, where empathy is coded, affection is simulated, and connection is redefined. As AI and emotions intersect in everything from virtual companions to therapeutic chatbots, this book uncovers how affective computing is reshaping the very fabric of intimacy, trust, and communication. Drawing on real-world examples, emerging technologies, and deep psychological insight, it asks the essential question: Can machines feel, or are we the ones being rewritten by emotional illusions? Covering critical topics like emotional design in AI, the rise of AI companionship, and the emergence of emotionally intelligent machines, this book offers a powerful lens into the future of empathy in an age of synthetic emotions. Whether you're a technologist, psychologist, futurist, or simply curious about what it means to be human in the presence of thinking, feeling code this is essential reading for those seeking to understand tomorrow's emotional landscape today.
Science, Engineering Management and Information Technology
The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 11-13, 2025. The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.
Generative AI and Large Language Models: Opportunities, Challenges, and Applications
This book provides a comprehensive exploration of the transformative impact of AI technologies across diverse fields. From revolutionizing healthcare diagnostics and advancing natural language processing for low-resource languages to enhancing software development and promoting environmental sustainability, this book explores the cutting-edge advancements and practical applications of generative AI and large language models (LLMs). With a focus on both opportunities and challenges, the book examines the architectural challenges of transformer-based models, the ethical implications of AI, and the importance of language-specific adaptations, particularly for low-resource languages like Arabic. It also highlights the role of AI in code development, multimodal applications, and its integration with intellectual property frameworks. This book is an essential resource for researchers, practitioners, and policymakers seeking to understand and harness the potential of AI to drive innovation and global progress.
Intelligent Systems and Applications
The 11th Intelligent Systems Conference (IntelliSys) 2025, held in Amsterdam, The Netherlands, from 28-29 August 2025, brought together researchers, practitioners, and experts from around the world to share advancements in intelligent technologies. Conducted in a hybrid format, the conference facilitated global collaboration and participation.This volume presents a curated selection of 169 peer-reviewed papers from a total of 470 submissions, covering key areas such as Artificial Intelligence, Computer Vision, Robotics, and Intelligent Systems. The contributions reflect the latest research trends, practical applications, and emerging challenges in these domains.We hope that these proceedings serve as a valuable resource for researchers, practitioners, and students, and that they inspire future work and collaborations in the field of intelligent systems.
Science, Engineering Management and Information Technology
The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 11-13, 2025. The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.
Recent Developments in Computational Finance and Business Analytics
Recent Advancements in Computational Finance and Business Analytics captures the transformation reshaping finance, business, and decision-making. Structured around Financial Analytics, Business Analytics, and HR & Marketing Analytics, this volume presents cutting-edge research and real-world applications. Topics include machine learning in financial forecasting, AI-driven customer segmentation, and blockchain-enabled supply chains. Blending rigorous methods with actionable insights, it offers value to researchers, analysts, students, and policymakers. As industries embrace data-driven innovation, this book serves as both a reference and a roadmap for navigating the digital economy through strategic and intelligent analytics.
Innovations in Sustainable Agricultural Systems, Agriculture 4.0 and Precision Agriculture, Volume 2
Electronic Government
This LNCS conference set constitutes the proceedings of the 24th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2025, in Krems, Austria, held during August 31-September 4, 2025. The 25 full papers presented were carefully selected from 116 submissions. They were categorized under the topical sections as follows: E-Government and E-Governance; Emerging Issues and Innovations; Open Data; Smart Cities; AI, Data Analytics and Automated Decision-Making.
Data Science in Applications
This book provides a forum for presenting and discussing new and promising ideas in the broadly understood data science field and scope. Data science is a broad discipline. Related and partially overlapping fields are data mining, pattern recognition, neurocomputing, statistics, mathematics, data visualisation, databases, data processing, knowledge discovery in databases, big data analysis, computer science, cloud computing, machine learning, and artificial intelligence. Recent research has focused on unlocking the new possibilities of artificial intelligence, not only from a theoretical point of view but also from an applied perspective. In light of recent developments and trends in these fields, the topics covered in the book have been expanded and extended to include various aspects of artificial intelligence (AI), advanced data analysis, data analytics, machine learning, and multimedia, both from a theoretical and a practical application perspective. All of these are coming together, so we are seeing a variety of AI-driven approaches. This book contains 12 chapters by data science researchers. They are divided into "AI-supported multimedia systems" and "Developments, challenges, and applications of advanced data analysis and machine learning." The first part of the book contains chapters that discuss various aspects of multimedia systems, notably text, voice, and image, in particular from the point of view of how new developments in AI, advanced data analyses, etc., can provide new, effective and efficient, tools and techniques, maybe even imply research and implementation breakthroughs. The second part of the book, "Developments, challenges and applications of advanced data analysis and machine learning," is concerned with various aspects, problems, solutions, and applications for new sophisticated tools and techniques of data analyses, data analytics, and machine learning providing tools and techniques to take advantage of what is available in data.
Proceedings of International Conference on AI and Financial Innovation
This book features high-quality research papers presented at the International Conference on AI and Financial Innovation (AIFI 2025), IIMT Bhubaneswar, Odisha, India, during February 7-8, 2025. The integration of artificial intelligence (AI) into financial services is ushering in a new era of technological transformation. The book discusses AI's ability to analyze large volumes of data, automate processes, and generate predictive insights which are revolutionizing how financial institutions operate. It also discusses how AI is becoming a critical tool for enhancing efficiency, improving decision-making, and fostering financial inclusion on a global scale. Furthermore, it presents contents on how integration of AI in payment systems, credit scoring, fraud detection, and regulatory compliance is reshaping the financial services industry, making it more secure, efficient, and accessible.
Electronic Government and the Information Systems Perspective
This book constitutes the proceedings of the 14th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2025, held in Bangkok, Thailand, during August 25-27, 2025. The 11 full and 4 short papers included in the proceedings were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Legal Aspects and Semantic Approaches; Digital Transformation and E-government Inclusion; AI in E-Government; E-Government Cases.
GCP in Action
Google Cloud Platform is a broad suite of deep infrastructure components and frameworks that an application developer or team can easily lose themselves in, without a clear path towards their goal: successful delivery of a product to their users. It is a powerful suite of cloud computing services, and understanding how to build scalable, reliable applications on it is a critical skill for modern developers and architects.This book provides a working set of GCP services and complementary products to illustrate the anatomy of an application that puts GCP services to good use, providing secure, scalable, and reusable back-end services to mobile and web front ends. You will learn to identify system stress points, choose between overlapping GCP services like App Engine and Cloud Run, and implement advanced strategies for component migration and maintenance. Web client, mobile, and desktop applications are developed to illustrate accessing GCP services from client platforms.By the end of this book, you will not only be proficient in using GCP but will also possess a solid architectural mindset. You will be prepared to design, build, and maintain enterprise-grade applications, capable of handling real-world complexities and ensuring long-term success on the Google Cloud Platform.WHAT YOU WILL LEARN● Coding, configuration, and deployment of GCP services.● Monitoring and alerting features of GCP products.● Choosing optimal GCP services from overlapping alternatives.● Scaling and load balancing of GCP services.● Designing robust, backend-agnostic interfaces at the cloud border.● Architectural design for scalable, reliable systems.● Handling high-demand scaling using message queues and load balancing.WHO THIS BOOK IS FORThis book is for software engineers and architects familiar with the software development lifecycle and internet concepts. It is tailored for professionals seeking to leverage Google Cloud Platform to build globally scalable products.
Digital Society
In an age where technology is rewriting the rules of human connection, governance, and daily life, how can we build a society that is not only digital-but also just, equitable, and human-centered?In Digital Society: Reimagining Society for the Digital Era, futurist and thought leader Mohammad J. Sear takes readers on a profound exploration of the opportunities and perils of the Digital Age. Moving far beyond simplistic measures like internet penetration and app usage, Sear redefines the very concept of a Digital Society-one where technology reshapes our institutions, values, and the way we live, work, learn, and care for each other.Drawing on decades of global experience advising governments, public institutions, and private enterprises, Sear unpacks: The Foundational Shift - Why optimization is not enough, and how true transformation requires reimagining, unlearning, and being purpose-driven.Core Elements of a Thriving Digital Society - From inclusive digital education and citizen-centric healthcare to secure identity systems and equitable infrastructure.The Power and Peril of the Digital Town Square - How civic life is being reshaped by algorithm-driven platforms and what it takes to protect democratic values online.A Human-Centric Future - Frameworks for embedding ethics, equity, and trust into digital transformation strategies.Through compelling global case studies, thought experiments, and a candid "skeptic's voice" that challenges assumptions at every step, Digital Society offers both visionary insight and practical frameworks for policymakers, innovators, educators, and engaged citizens.This is not just a book about technology-it's a blueprint for the societies we want to build, and a call to action to ensure the digital future works for everyone.If you care about the intersection of technology, governance, and human values, this is your essential guide to navigating-and shaping-the digital era.
Machine Decision Is Not Final
An interdisciplinary, cross-cultural collection that decenters familiar narratives to provide a fresh perspective on what artificial intelligence is today, and what it might become. Historians, media theorists, science-fiction writers, philosophers, and artists from China and elsewhere reexamine the nation's intense engagement with AI, moving beyond the clich矇s that still dominate contemporary debate. Today, visions of the contested future of AI veer between common planetary goals and a new Cold War, as culturally-specific models of intelligence, speculative traditions, and thought experiments come up against the emergence of novel forms of cognition that cannot be reduced to any historical cultural tradition. This uniquely positioned volume provides expert insight into this tension, using China as a touchstone for rethinking "artificiality" and "intelligence" as sites of difference in a way that is already present in the difficulty of precisely translating the Chinese term 人工智能. Tracking the history of Chinese AI from the pre-Cultural Revolution to the post-Deng Xiaoping eras right up to contemporary debates surrounding facial recognition, the writers in this collection draw on a mixture of speculative thought experiments and cutting-edge use cases to offer singular views on topics including AI and Chinese philosophy, AI ethics and policymaking, the development of computational models in early Chinese cybernetics, and the aesthetics of Sinofuturism. Spanning borders between different worlds, histories, futures, and foundational models, Machine Decision is Not Final is not only a timely reappraisal of the stakes of AI development, but a tool for constructing more global imaginaries for the future of AI. ContributorsBlaise Aguera y Arcas, Bo An, Benjamin Bratton, Shuang Frost, Vince Garton, Steve Goodman, Yvette Granata, Anna Greenspan, Amy Ireland, Xia Jia, Bogna Konior, Vincent Le, Lawrence Lek, Lukas Likavcan, Suzanne Livingston, Iris Long, Bingchun Meng, Reza Negarestani, Chen Quifan, Gabriele de Seta, Hongzhe Wang, Wang Xin, Mi You
Azure Fundamentals (Az-900) Study Guide
Cloud computing is no longer just a buzzword but a crucial skill set for today's professionals. The ability to navigate the complexities of cloud technologies and understand the Azure environment is a significant advantage. Whether you're starting your tech journey or looking to solidify your foundational knowledge, this study guide is your essential resource for mastering these critical concepts and achieving Azure certification. Author Jack Lee will thoroughly prepare you for the AZ-900 Azure Fundamentals exam. Going beyond the exam material, you'll become immersed in the world of Azure, acquiring the tools to understand and effectively utilize cloud and Azure foundational concepts. From exploring key cloud principles like high availability and scalability to delving into Azure's core services and management tools, this book provides both detailed explanations and key insights. Grasp the basics of cloud computing, including different service types, pricing models, and deployment strategies Learn to identify and describe the core Azure services and understand their practical applications in real-world scenarios See study tips, practice questions, and quizzes designed to mirror the AZ-900 exam format Receive expert advice to confidently undertake the exam and apply your knowledge in your day-to-day work
