Bøker utgitt av BPB Publications

DESCRIPTIONDigital Technology 360° is a comprehensive guide to understanding the fundamentals and implications of today's most transformative technologies. From foundational innovations like cloud computing, artificial intelligence, and big data to emerging fields like the IoT, 5G/6G, the metaverse, and quantum computing, this book offers an unparalleled exploration of digital technologies shaping the world.Going beyond the technical aspects, the book connects technology with its broader societal impacts by examining the roles of industry, governments, NGOs, and United Nations agencies in fostering innovation, setting standards, and addressing ethical considerations. It explores opportunities and risks, offering strategic insights into navigating challenges such as AI safety, data privacy, and technology governance. Readers will gain the tools to understand trends, prepare for future developments, and make informed decisions about adopting and utilizing digital technologies in ways that align with both business goals and global ethical standards.By the end of this book, you will have a well-rounded understanding of digital technology, helping you to make informed decisions in a world increasingly driven by technology. Digital Technology 360° provides a well-rounded foundation to navigate the digital age effectively.WHAT YOU WILL LEARN¿ Grasp the basics of digital technologies, including AI, cloud computing, IoT, 5G/6G, quantum computing, and the metaverse.¿ Understand the risks and challenges of developing and using digital technology.¿ Develop strategic thinking to balance business benefits with safety and ethical considerations.¿ Explore the global standards and governance landscape for digital technology adoption.¿ Learn how leaders can foster international collaboration in adopting digital advancements.WHO THIS BOOK IS FORWhether you are a policymaker, engineer, IT professional, business manager, or simply curious about digital applications, this book equips you to engage with the technologies driving the digital revolution.

DESCRIPTIONIntegrating Rust shows you how to create fast, secure software while keeping full control. This book helps you with the knowledge to seamlessly integrate Rust into your existing development workflow, using its power for high-performance systems programming and beyond.This book is your go-to guide for bringing Rust into your tech stack to build secure, high-performance software. Designed for developers and tech leads, this book offers tools and insights for seamlessly adopting Rust in multi-language environments, modernizing workflows, and optimizing legacy systems. It explains Rust's type system and safety features while providing step-by-step examples for working with C, C++, databases, embedded systems, and WebAssembly. Learn to replace critical components, design efficient systems, and enhance web and cloud applications. This book contains practical tips to help you achieve scalability, reliability, and top-notch performance.By the end of this book, you will be well-equipped to integrate Rust into your projects, avoid common mistakes, and deliver efficient, secure software aligned with modern standards.WHAT YOU WILL LEARN¿ Optimize legacy systems by rewriting performance-critical components in Rust.¿ Integrate Rust with existing C, C++, and WebAssembly projects.¿ Leverage Rust's safety features for secure, reliable software development.¿ Use Rust's concurrency model for multi-threaded and distributed systems.¿ Implement Rust in web, database embedded systems, and cloud-based applications.¿ Master Rust's ecosystem, tools, and best development practices.WHO THIS BOOK IS FORThis book is designed for software developers, system architects, and tech leads who want to integrate Rust into their existing projects or initiate a new project using Rust. Readers should possess a basic understanding of programming concepts and have experience with at least one other programming language, such as C.

DESCRIPTIONAngular is a popular JavaScript framework that empowers developers to create single-page applications (SPAs) with ease. This comprehensive guide is designed to equip you with the skills and knowledge to become a proficient Angular developer, even if you are starting from scratch.This book offers a step-by-step guide to mastering Angular development. It starts with setting up your environment, using Angular CLI for efficient project management, and creating reusable components that form the core of any Angular app. You will learn data binding to connect data with your user interface and routing to guide users through your app's sections. The book covers TypeScript basics, Angular's primary language, and component lifecycle hooks for managing behavior at different stages. Advanced topics include handling user input with reactive forms, testing for quality assurance, and deploying your application effectively. Additionally, it covers styling to create attractive designs and accessibility practices to ensure your applications are usable for everyone.By the end of this masterclass, you will be well-equipped to confidently build modern, interactive, and user-friendly web applications using the power of Angular.WHAT YOU WILL LEARN¿ Optimize Angular applications for performance and responsiveness.¿ Utilize advanced Angular features like lazy loading and preloading.¿ Optimize applications using change detection strategies and performance profiling.¿ Debug production issues effectively with monitoring, telemetry tools, and error-handling mechanisms.¿ Implement internationalization (i18n) for multilingual applications.¿ Explore component lifecycle and its management.WHO THIS BOOK IS FORThis book is ideal for aspiring and intermediate web developers, front-end engineers, and anyone interested in building dynamic web applications. Prior experience to basic JavaScript is recommended, but no prior knowledge of Angular is required.

DESCRIPTIONGo, a modern and efficient programming language, is rapidly gaining popularity for building robust and scalable applications. This book, Go Lang in Depth, instills you with the knowledge and skills to master Go, from its fundamental building blocks to advanced concepts.This Go programming book provides a detailed guide, starting from basic syntax and data structures to advanced concepts like concurrency and error handling. It teaches you how to build applications, including console apps, REST APIs, and web apps using popular frameworks like Gin and Beego. You will also explore creating real-world projects, such as a CRM system, and understand advanced topics like dependency injection, SOLID principles, and Docker containerization. The book covers performance optimization with profiling and benchmarking, ensures application security with authentication and cryptography, and explains design patterns and best practices for building scalable, secure web applications.By the end of this book, you will be equipped to write clean, concurrent, and performant Go code. You will understand how to design and implement complex functionalities, leverage Go's powerful features effectively, and tackle real-world programming challenges.KEY FEATURES¿ From beginner to advanced, this book covers all aspects of Go programming.¿ Learn by implementing practical examples and real-world projects.WHAT YOU WILL LEARN¿ Practical approach with hands-on exercises, real-world examples, and practical projects.¿ Gain a thorough understanding of Go's core concepts, including concurrency, error handling, and testing.¿ Learn to containerize Go applications with Docker and deploy them to production environments.¿ Implement security measures and optimize the performance of your Go applications.WHO THIS BOOK IS FORWhether you are a software engineer, data scientist, or system administrator, this book will help you harness the power of Go to build efficient, scalable, and reliable applications. No prior knowledge of Go is required, but a basic understanding of programming concepts will be beneficial.

DESCRIPTIONThis book is a practical guide to mastering Terraform and IaC, helping readers build, manage, and scale modern infrastructure.It introduces setting up Terraform environments, mastering HashiCorp Configuration Language (HCL), and managing infrastructure state effectively. Learn to use Terraform providers for cloud platforms, define resources, and use variables and outputs for dynamic setups. Advanced topics include reusable modules, CI/CD integration, performance tuning, and security best practices. It also explores Terraform Cloud and Enterprise, covering remote state, VCS integration, team management, and Sentinel policies for enterprise-level control, making it a complete resource for mastering Terraform and IaC.By the end of this book, you will be well-equipped to manage your cloud infrastructure with confidence. You will gain expertise in configuration management, security best practices, and even explore features of Terraform Cloud and Enterprise for enhanced collaboration and team management.KEY FEATURES¿ Guide to Terraform and infrastructure as code (IaC).¿ Practical Terraform examples and solutions.¿ Master advanced ways to manage infrastructure using Terraform.WHAT YOU WILL LEARN¿ Set up Terraform and create reusable infrastructure configurations.¿ Manage cloud environments with advanced orchestration techniques.¿ Securely handle sensitive data and optimize infrastructure performance.¿ Test and validate configurations for reliability and compliance.¿ Anticipate trends like AI integration and multi-cloud strategies.WHO THIS BOOK IS FORThis book is for developers, system administrators, and DevOps professionals looking to start using Terraform and IaC.

DESCRIPTIONThis book prepares you with the knowledge and skills to confidently excel in the exciting world of machine learning (ML) interviews and launch a successful career in this dynamic field.This book offers a collection of curated questions and answers to help readers understand key ML concepts, including data processing, classification, regression, clustering, dimensionality reduction, time series, and natural language processing (NLP). While not exhaustive, it focuses on critical topics and common questions often encountered in interviews. The chapters highlight essential concepts without a strict order of importance, reflecting the informal nature of ML interviews. Alongside theoretical knowledge, the book emphasizes the importance of coding and real-world application for a deeper understanding. Practical exercises, coding projects, and continuous learning are crucial to mastering ML concepts.By mastering the concepts and question-answer formats presented in this book, you will be well-prepared to tackle technical interview challenges and confidently showcase your ML expertise. This guide will help you achieve your career goals in the exciting field of ML.WHAT YOU WILL LEARN¿ Understand core data concepts for ML.¿ Master classification and regression algorithms.¿ Learn clustering and dimensionality reduction techniques.¿ Analyze and forecast time-dependent data with time series analysis.¿ Gain NLP proficiency and understand human language with techniques like tokenization, stemming, lemmatization, and advanced language models.WHO THIS BOOK IS FORThis book can be used by an interviewee, interviewer, ML professionals who want to learn the interview structure, and ML practitioners who want to refresh their memory and use this book as a reference guide. Managerial and non-technical people can use this book to learn ML in unique ways through a question-answer format.

DESCRIPTIONJava continues to be a key technology for building powerful applications in today's fast-changing tech world. This book helps you connect theory with practice, teaching you the skills to create real-world Java projects. With a clear learning path, you will learn the tools and techniques needed to tackle complex software development challenges with confidence.This book, inspired by real-world Java projects, starts with Java fundamentals, covering core APIs, modern features, database handling, and automated testing. It explores frameworks like Spring Boot, Quarkus, and Jakarta EE for enterprise cloud-native applications. Employ container technologies like Docker and Kubernetes for scalable deployments. To tackle production challenges, the book will look deeply into monitoring and observability, helping developers understand application performance under unexpected conditions. It concludes with maintainability issues, introducing architectural concepts like domain-driven design (DDD), layered architecture, and hexagonal architecture, offering a roadmap for creating scalable and maintainable Java applications.By the end of this book, you will feel confident as a Java developer, ready to handle real-world challenges and work on modern software projects. You will have a strong understanding of Java basics, modern tools, and best practices, preparing you for a successful career in Java development.WHAT YOU WILL LEARN¿ Efficient application of core Java API capabilities.¿ Modern Java development with features like virtual threads, sealed classes, and records.¿ Understanding of the Spring Boot, Quarkus, and Jakarta EE frameworks.¿ Monitoring and observability with Prometheus, Grafana, and Elasticsearch.¿ Using DDD, layered architecture, and hexagonal architecture to improve maintainability.WHO THIS BOOK IS FORThis book is ideal for aspiring and intermediate Java developers, including students, software engineers, and anyone seeking to enhance their Java skills. Prior experience with basic programming concepts and a foundational understanding of Java are recommended.

DESCRIPTIONThe purpose of the book Web Automation Testing Using Playwright is to teach you how to use Playwright to automate your web testing. Playwright, a powerful automation tool developed by Microsoft, is a modern web automation framework that is fast, reliable, and easy to use.This book begins by introducing automation testing, its benefits, and Playwright, covering setup, scripting, and Playwright's architecture. It guides you through creating frameworks, selector strategies, and handling complex web elements like shadow DOM and iframes. Explore Playwright features such as Codegen, Inspector, UI mode, debugging with Trace Viewer, and generating detailed reports. Learn advanced techniques like building frameworks using Page Object Model (POM), integrating Cucumber/BDD, API testing, HTTP request interception, and accessibility and visual testing. Additionally, the book explores test execution in CI/CD tools, parallel testing, AI-driven test automation, leveraging generative AI like ChatGPT, and future trends in test automation.By the end of this book, you will be a web automation expert, writing efficient tests that validate web app functionality. Automate complex scenarios, handle edge cases, and leverage AI for intelligent testing.WHAT YOU WILL LEARN¿ Writing testing scripts for end-to-end, functional, API, accessibility, and visual tests with Playwright.¿ Mastering UI elements like alerts, tabs, drag-and-drop, iframes, and shadow DOM handling.¿ Debugging effectively using Playwright features like Codegen, Inspector, UI mode, and Trace Viewer.¿ Implementing Cucumber/BDD, Page Object Model (POM), and CI/CD pipeline integration with Playwright.¿ Leveraging AI tools for test automation, including script creation, debugging, and understanding generative AI like ChatGPT.WHO THIS BOOK IS FORThe target audience for this book is test automation engineers, web developers, product owners, and anyone who wants to learn about tool Playwright and test their application from scratch to the end of the applications.

DESCRIPTIONExplore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of deep learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc.This book introduces deep learning, machine learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly.This book provides the tools and knowledge needed to leverage generative AI in real-world applications. By the time you complete it, you will have a solid foundation and the confidence to explore the frontiers of AI.KEY FEATURES¿ Comprehensive guide to mastering generative AI and deep learning basics.¿ Covers text, audio, and video generation with practical examples.¿ Insights into emerging trends and potential advancements in the field.WHAT YOU WILL LEARN¿ Understand the fundamentals of deep learning and neural networks.¿ Master generative models like GANs, VAEs, and Transformers.¿ Implement AI techniques for text, audio, and video creation.¿ Apply generative AI in real-world scenarios and applications.¿ Navigate ethical challenges and explore the future of AI.WHO THIS BOOK IS FORThis book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and machine learning.

DESCRIPTION"Mastering the Red Hat Certified Engineer (RHCE) Exam" is a comprehensive guide designed for IT professionals and system administrators aspiring to achieve RHCE certification. This book is an essential resource for mastering Red Hat Enterprise Linux (RHEL) skills and advancing careers in Linux administration.This book is designed to guide you through every stage of preparing for the RHCE certification. It introduces the importance of RHCE in IT and breaks down the exam blueprint, covering both theory and practical skills. You will learn Linux basics, automate tasks using tools like bash scripting and Ansible, manage network services and SELinux security, and explore emerging technologies like containers and virtualization. The book also covers performance optimization and troubleshooting, providing strategies to tackle the exam with confidence. Practice exams simulate real-world scenarios to help you succeed and achieve your RHCE certification.By the end, readers will be fully prepared for the RHCE exam and equipped with practical skills for Linux administration roles. This book enables aspiring engineers to excel in complex Linux environments, supporting their journey towards RHCE certification and professional growth in the dynamic IT landscape.WHAT YOU WILL LEARN¿ The essentials of Red Hat Enterprise Linux administration.¿ Automation of tasks using Ansible and scripting tools.¿ Effective management of networking and security in RHEL.¿ Hands-on skills in SELinux configuration and troubleshooting.¿ Practical insights into container management and deployment.¿ Preparation techniques for success in the RHCE certification.WHO THIS BOOK IS FORThis book is intended for IT professionals and system administrators with basic to intermediate Linux knowledge. It is also suitable for those aiming for RHCE certification and educators seeking a structured resource for teaching RHEL system management and automation.

DESCRIPTIONC is a powerful and versatile programming language used for building everything from operating systems to video games. This book equips you with the essential knowledge to solve problems and create efficient programs using C.This book provides a comprehensive guide to C programming, starting with the fundamentals of the C language and progressing to advanced topics. It begins by introducing the syntax, data types, operators, control flow statements, and functions. The book then delves into arrays and strings, two essential data structures in C programming. Subsequently, it explores advanced topics such as pointers, structures, unions, and file handling. This book will help readers have a solid understanding of C programming and be equipped to write efficient C programs.By the end of this book, you will be a confident C programmer, ready to write effective code and solve real-world problems. The book provides you with the foundational skills and knowledge to approach programming challenges with a newfound sense of ease, paving the way for a rewarding career as a C programmer.WHAT YOU WILL LEARN¿ Apply operators and control structures to create efficient programs.¿ Develop modular programs using functions for better code management.¿ Work with arrays to store and manipulate large datasets.¿ Use pointers for dynamic memory allocation and data manipulation.¿ Handle file input/output to store and retrieve program data.WHO THIS BOOK IS FORThis book is designed for beginners with no prior programming knowledge, as well as for those who wish to improve their C programming skills. It is ideal for undergraduate students, educators, and professionals from various disciplines, such as science, engineering, management, and technology, who want to develop strong problem-solving abilities using C.

DESCRIPTIONGenerative AI for Financial Services is a book targeted at any AI practitioner who wants to understand how generative AI works on a fundamental level and extend that learning to risks, challenges, and opportunities in regulated industries like financial services.This book explores generative AI and its applications in financial services. It starts by explaining key concepts, differences from traditional AI, and the generative AI lifecycle. Readers learn about foundation models, transfer learning, and implementation strategies, including fine-tuning and training models. Practical use cases like improving customer experiences, automating ESG analysis, and optimizing contact centers are covered. The book also addresses challenges like model bias, ethics, and compliance while focusing on building trustworthy AI with fairness and accountability. Finally, it highlights MLOps and FMOps for efficient AI model deployment and management in production environments.By the end of this book, you will be well-equipped to navigate the exciting world of generative AI and confidently apply its transformative potential within the financial services landscape.KEY FEATURES¿ Evolve from a generative AI enthusiast to an advanced practitioner in generative AI.¿ Learn effective ways of building generative AI solutions for financial services.¿ Become familiar with the upcoming trends in generative AI space.WHAT YOU WILL LEARN¿ Learn about popular use-cases, challenges, risks in financial services, and how to overcome those.¿ Learn how to launch and scale generative AI applications in regulated environments like financial services, expanding from tens to thousands of use cases.¿ Understand the operational aspects of AI, including MLOps and FMOps.¿ Address challenges and ethical considerations in AI implementation.WHO THIS BOOK IS FORThis book is suitable for generative AI engineers, prompt engineers, ML engineers, data scientists, AI/ML, and technical leaders in financial services.

DESCRIPTIONPostgreSQL, a robust and versatile relational database management system (RDBMS), is gaining immense popularity due to its reliability, scalability, and rich feature set. This book is your indispensable companion to mastering PostgreSQL, helping you become a great PostgreSQL developer and create amazing database-driven applications.This book provides a thorough introduction to PostgreSQL, covering the fundamentals of database creation and management to advanced topics like data modeling, query optimization, and performance tuning. Explore PostgreSQL's powerful features, including multi-version concurrency control (MVCC), data types, constraints, and indexing. Learn how to install, configure, and apply PostgreSQL in real-world scenarios. You will also develop essential SQL skills to manipulate and analyze data, design efficient schemas with normalization, and use stored procedures and triggers to automate tasks effectively.By the end of this book, you will have a solid understanding of PostgreSQL's core concepts and best practices. You will be able to create complex database structures, write efficient SQL queries, optimize database performance, and implement robust data management strategies.KEY FEATURES¿ A comprehensive overview of PostgreSQL, covering all essential topics from database fundamentals to advanced features.¿ Relates concepts to real-world scenarios, helping you understand how to apply PostgreSQL in practical applications.¿ Provides step-by-step instructions and guidance, making it easy to follow along and learn effectively. It also includes MCQs in each chapter to engage the readers.WHAT YOU WILL LEARN¿ Database fundamentals like creation, structure, data types, and constraints.¿ Data manipulation operations like insert, update, delete, retrieve, filter, and sort.¿ Subqueries, joins and data formats for advanced data manipulation¿ Optimize database performance using indexes and views.¿ Examine closely advanced topics like transactions, procedures, functions, triggers, and administration.WHO THIS BOOK IS FORThis book is for anyone who wants to learn or improve their skills in using PostgreSQL. It is suitable for developers, data analysts, database administrators, and students who are interested in working with databases and building data-driven applications.

DESCRIPTIONTableau is one of the leading business intelligence and data visualization tools that fulfill almost all the requirements for getting insights from huge data and solving complex business queries using simple and complex visualizations. This book covers all the features supported by Tableau, from basics to advanced.Master data storytelling with Tableau by learning to connect, clean, and analyze data from various sources. This book covers essential chart types like bar, line, and pie charts while introducing advanced features like filters, LOD expressions, and dual-axis charts. Create interactive dashboards by combining visualizations, adding controls, and customizing designs to engage your audience. Use storytelling techniques to present insights effectively. With advanced visualizations like combo and Gantt charts, this guide equips you with the skills to communicate data clearly and make informed, data-driven decisions.This book begins with very basic information that even a beginner can understand. Gradually, the book covers intermediate and advanced features of Tableau, so it can help readers of all levels become experts in Tableau.WHAT YOU WILL LEARN¿ Understand different types of data sources and how to connect them.¿ Learn techniques for cleaning and preparing data for visualization.¿ Perform calculations, aggregations, and level of detail (LOD) expressions.¿ Create both, simple and advanced visualizations to present data.¿ Design visually engaging dashboards and storyboards to answer business questions effectively.WHO THIS BOOK IS FORThis book is for students and professionals who want to learn and have a rewarding career in data visualization using Tableau. It is also for anyone who wants to become a data analyst, Tableau developer, business analyst, etc.

DESCRIPTIONFor most modern-day data, graph data models are proving to be advantageous since they facilitate a diverse range of data analyses. This has spiked the interest and usage of graph databases, especially Neo4j. We study Neo4j and cypher along with various plugins that augment database capabilities in terms of data types or facilitate applications in data science and machine learning using plugins like graph data science (GDS).A significant portion of the book is focused on discussing the structure and usage of graph algorithms. Readers will gain insights into well-known algorithms like shortest path, PageRank, or Label Propagation among others, and how one can apply these algorithms in real-world scenarios within a Neo4j graph.Once readers become acquainted with the various algorithms applicable to graph analysis, we transition to data science problems. Here, we explore how a graph's structure and algorithms can enhance predictive modeling, prediction of connections in the graph, etc. In conclusion, we demonstrate that beyond its prowess in data analysis, Neo4j can be tweaked in a production setup to handle large data sets and queries at scale, allowing more complex and sophisticated analyses to come to life.KEY FEATURES¿ Utilizing graphs to improve search and recommendations on graph data models.¿ Understand GDS and Neo4j graph algorithms including cluster detection, link prediction, and centrality.¿ Complex problem-solving for predicting connections, application in ML pipelines and GNNs using graphs.WHAT YOU WILL LEARN¿ Understand Neo4j graphs and how to effectively query them with cypher.¿ Learn to employ graphs for effective search and recommendations around graph data.¿ Work with graph algorithms to solve problems like finding paths, centrality metrics, and detection of communities and clusters.¿ Explore Neo4j's GDS library through practical examples.¿ Integrate machine learning with Neo4j graphs, covering data prep, feature extraction, and model training.WHO THIS BOOK IS FORThe book is intended to serve as a reference for data scientists, business analysts, graph enthusiasts, and database developers and administrators who work or intend to work on extracting critical insights from graph-based data stores.

DESCRIPTIONIntroducing "Salesforce Automation with Salesforce Flow and Apex", a practical guide designed for anyone wanting to learn Salesforce automation. Whether you are just starting out or looking to build on your existing skills, this book is here to help you navigate the world of Salesforce flow and automation techniques.This book provides a comprehensive guide to Salesforce flow, a powerful automation tool within the Salesforce platform. It covers foundational concepts like flow types, elements, and debugging techniques. The book explains advanced topics such as screen flows, record-triggered flows, schedule-triggered flows, and platform event-triggered flows. It also explores the integration of flows with Apex to enhance functionality. Additionally, the book covers best practices for performance optimization, error handling, and security. It provides guidance on migrating from traditional automation tools like workflow rule and process builder to flow.By the end of this book, you will be ready to make a real impact with your Salesforce skills, driving efficiency and innovation in your organization.KEY FEATURES¿ A comprehensive introduction to Salesforce flow and automation with Apex and its benefits.¿ Practical guidance on creating and configuring user-friendly interfaces with screen flows.¿ Best practices for optimizing flow performance, handling errors, and ensuring security.WHAT YOU WILL LEARN¿ Grasp the importance of Salesforce automation and its transformative impact on business efficiency.¿ Explore Salesforce flow features and learn to create, debug, and optimize various flows, including screen and record-triggered flows.¿ Master autolaunched flows, integrate them with Apex, and enhance automation using platform events and scheduled flows.¿ Implement secure flow sharing, migrate from legacy automation tools, and integrate flows with external systems for seamless data exchange.¿ Combine flows and Apex triggers to build advanced, real-time automation solutions tailored to business needs.WHO THIS BOOK IS FORThis book is intended for Salesforce professionals, beginners, and students eager to learn automation within the Salesforce ecosystem. It is ideal for those pursuing roles such as Salesforce administrators, developers, business analysts, testers/QA, consultants, and architects.

DESCRIPTIONAdopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration.Through real-world examples, expert insights, and case studies, the author shares his experience in product management, e-commerce, and digital platforms, presenting strategies for embracing AI and overcoming implementation challenges. Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models.By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business.WHAT YOU WILL LEARN¿ Grasp how AI is revolutionizing business operations and driving innovation.¿ Understand AI adoption frameworks and learn how to choose the right one for your organization.¿ Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection.¿ Discover the role of AI in Web 3.0 and its intersection with blockchain.¿ Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes.WHO THIS BOOK IS FORThis book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models.

DESCRIPTIONThis book explores how AI, blockchain, and the IoT can work together to build a more sustainable and efficient tech ecosystem. This book breaks down complex concepts, making them accessible to readers of all backgrounds. By focusing on the convergence of these technologies, it reveals how they are shaping a future where autonomous systems could operate independently of human intervention.This book explores the intersection of AI, blockchain, and robotics, covering their history, technology, and real-world applications. It explains decentralization and its technical foundations. The book also addresses ethical and practical issues, providing valuable insights for those interested in the future of technology and its impact on society. By examining AI, blockchain, and robotics both individually and in combination, it helps readers understand their potential and the broader implications for industries and communities.From privacy and security considerations to real-world case studies, this book offers a roadmap for understanding and leveraging the next wave of disruptive technologies. By the end, you will be equipped with a clear vision of the future and the knowledge to navigate it, empowered to make informed decisions about this exciting tech revolution.KEY FEATURES¿ Explores AI, blockchain, and robotics individually and in combination.¿ Provides historical context, technical explanations, practical applications, ethical considerations, and future outlook.¿ Features insights from experts and offers practical advice for individuals and organizations.WHAT YOU WILL LEARN¿ Convergence of AI, blockchain, and robotics to create autonomous ecosystems.¿ The potential impact of tech on industries and society.¿ Key privacy and security considerations in emerging technologies.¿ Real-world applications and case studies of tech integration.¿ The future of innovation and sustainable technological development.WHO THIS BOOK IS FORThis book explores emerging technologies at the concept level making it suitable for novice readers. Then, the convergence of these technologies are explored, eventually offering insights into building a sustainable, autonomous future.

DESCRIPTIONThis book offers a comprehensive overview of the Mendix platform from a developer's perspective. This powerful technology breaks down barriers, allowing anyone, with or without coding experience, to build custom applications quickly and efficiently with a solid foundation for platform evaluation.Key topics include Mendix's database design, page designer, and visual tools for creating functionality through microflows and nanoflows. You will also learn about security, best practices, and automated performance enhancements. Integration with other applications via REST, SOAP, and OData is explored, as well as the creation of web, progressive, and native mobile apps, all using the same low-code approach.By the end, you will be ready to begin your Mendix certification journey. You will have a thorough understanding of Mendix and through hands-on exercises. You will gain practical experience by developing a cloud-deployed Mendix application, positioning you for success in the fast-evolving low-code development landscape.KEY FEATURES¿ Step-by-step instructions for creating Mendix applications from scratch, with practical exercises to build hands-on experience.¿ Tips and tricks to optimize performance and maintainability of Mendix applications.¿ Real-world examples, case studies, and optimization tips to enhance Mendix application performance and maintainability.WHAT YOU WILL LEARN¿ Grasp the essentials of low-code development and discover how it speeds up application creation.¿ Build robust data models that mirror real-world structures for effective data representation.¿ Create intuitive and reusable user-friendly interfaces using Mendix's drag-and-drop tools, enhancing user experience.¿ To automate business processes with microflows, including complex decision-making and data manipulation.¿ To integrate Mendix applications with external systems using REST, SOAP, and OData APIs.¿ Advanced topics like security, integration, and mobile development.WHO THIS BOOK IS FORThis book is intended for new and seasoned developers that are starting their journey into low code development and business users evaluating low code software development. A programming background is helpful but not required to understand the content of the book.

DESCRIPTIONThis book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described.This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics.This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries.WHAT YOU WILL LEARN¿ Understand cloud computing concepts, including service models, deployment models, and security.¿ Explore cloud robotics history, benefits, and AI integration in robotic systems.¿ Learn AI algorithms, ML, and deep learning for robotics applications.¿ Gain skills in computer vision, object detection, and enhancing robot perception using AI.¿ Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience.WHO THIS BOOK IS FORThe primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming.

DESCRIPTIONThe book "Problem Solving in Data Structures and Algorithms Using C++" is designed to equip readers with a solid foundation in data structures and algorithms, essential for both academic study and technical interviews.It provides a solid foundation in the field, covering essential topics such as algorithm analysis, problem-solving techniques, abstract data types, sorting, searching, linked lists, stacks, queues, trees, heaps, hash tables, graphs, string algorithms, algorithm design techniques, and complexity theory. The book presents a clear and concise explanation of each topic, supported by illustrative examples and exercises. It progresses logically, starting with fundamental concepts and gradually building upon them to explore more advanced topics. The book emphasizes problem-solving skills, offering numerous practice problems and solutions to help readers prepare for coding interviews and competitive programming challenges. Each problem is accompanied by a structured approach and step-by-step solution, enhancing the reader's ability to tackle complex algorithmic problems efficiently.By the end of the book, readers will have a strong understanding of algorithms and data structures, enabling them to design efficient and scalable solutions for a wide range of programming problems.KEY FEATURES¿ Learn essential data structures like arrays, linked lists, trees, and graphs through practical coding examples for real-world application.¿ Understand complex topics with step-by-step explanations and detailed diagrams, suitable for all experience levels.¿ Solve interview and competitive programming problems with C++ solutions for hands-on practice.WHAT YOU WILL LEARN¿ Master algorithmic techniques for sorting, searching, and recursion.¿ Solve complex problems using dynamic programming and greedy algorithms.¿ Optimize code performance with efficient algorithmic solutions.¿ Prepare effectively for coding interviews with real-world problem sets.¿ Develop strong debugging and analytical problem-solving skills.WHO THIS BOOK IS FORThis book is for computer science students, software developers, and anyone preparing for coding interviews. The book's clear explanations and practical examples make it accessible to both beginners and experienced programmers.

DESCRIPTIONPython is a simple, easy-to-learn, and one of the top programming languages across the globe. As a result of advancements in AI, data mining, and numerical computing fields, Python has become a popular programming language catering to various stakeholders. It is a powerful tool for working with a variety of data. This book provides the basics of Python and an introduction to data analytics.This book offers a complete introduction to Python programming, covering everything from the basics to the advanced topics. It starts by explaining core concepts like syntax and the Python interpreter, then dives into data structures, control flow, functions, and modules. You will also learn about data analysis and visualization with popular libraries like NumPy, Pandas, Matplotlib, and Seaborn. It wraps up with practical case studies, showing how to apply Python in real-world scenarios effectively.The book serves as a step-by-step guide to performing data analysis. Its content is designed so that even a novice can learn and perform data analysis and visualization simply by following the instructions in the book.KEY FEATURES¿ The book covers a wide range of topics, from Python fundamentals to advanced data analysis techniques.¿ It includes practical exercises and real-world case studies to illustrate the applications of Python for data analysis.WHAT YOU WILL LEARN¿ Understand the basics of programming languages and the role of the Python interpreter.¿ Read about different data structures like lists, sets, tuples, and dictionaries, and understand their applications.¿ Learn how to work with files in Python, including reading, writing, and appending data.¿ Discover how to use NumPy and Pandas for efficient data manipulation and analysis.¿ Learn how to create informative visualizations using Matplotlib and Seaborn.WHO THIS BOOK IS FORThis book is designed for students studying UG or PG courses in the computer science and applications domain. Learning Python is a simple way to begin the journey of data analytics. One of the in-demand domains in the job market, and research is data analytics. This book will be helpful for students interested in this domain.

DESCRIPTIONThis book provides a detailed introduction to digital forensics, covering core concepts, principles, and the role of various teams in incident response. From data acquisition to advanced forensics techniques, it equips readers with the skills to identify, analyze, and respond to security incidents effectively.It guides readers in setting up a private lab using Kali Linux, explores operating systems and storage devices, and dives into hands-on labs with tools like FTK Imager, volatility, and autopsy. By exploring industry-standard frameworks like NIST, SANS, and MITRE ATT&CK, the book offers a structured approach to incident response. Real-world case studies and practical applications ensure readers can apply their knowledge immediately, whether dealing with system breaches, memory forensics, or mobile device investigations, helping solve cybercrimes and protect organizations.This book is a must-have resource for mastering investigations using the power of Kali Linux and is ideal for security analysts, incident responders, and digital forensic investigators.WHAT YOU WILL LEARN¿ Conduct thorough digital forensics using Kali Linux's specialized tools.¿ Implement incident response frameworks like NIST, SANS, and MITRE ATT&CK.¿ Perform memory, registry, and mobile device forensics with practical tools.¿ Acquire and preserve data from cloud, mobile, and virtual systems.¿ Design and implement effective incident response playbooks.¿ Analyze system and browser artifacts to track malicious activities.WHO THIS BOOK IS FORThis book is aimed at cybersecurity professionals, security analysts, and incident responders who have a foundational understanding of digital forensics and incident response principles.

DESCRIPTION Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrastructure.This book covers everything from foundational concepts to advanced techniques. It begins by introducing the role of data engineering in AI/ML, followed by exploring the lifecycle of data, from data generation and collection to storage and management. Readers will learn how to design robust data pipelines, transform data, and deploy AI/ML models effectively for real-world applications. The book also explains security, privacy, and compliance, ensuring responsible data management. Finally, it explores future trends, including automation, real-time data processing, and advanced architectures, providing a forward-looking perspective on the evolution of data engineering.By the end of this book, you will have a deep understanding of the principles and practices of data engineering for AI/ML. You will be able to design and implement efficient data pipelines, select appropriate technologies, ensure data quality and security, and leverage data for building successful AI/ML models. KEY FEATURES ● Comprehensive guide to building scalable AI/ML data engineering pipelines.● Practical insights into data collection, storage, processing, and analysis.● Emphasis on data security, privacy, and emerging trends in AI/ML.WHAT YOU WILL LEARN● Architect scalable data solutions for AI/ML-driven applications.● Design and implement efficient data pipelines for machine learning.● Ensure data security and privacy in AI/ML systems.● Leverage emerging technologies in data engineering for AI/ML.● Optimize data transformation processes for enhanced model performance. WHO THIS BOOK IS FORThis book is ideal for software engineers, ML practitioners, IT professionals, and students wanting to master data pipelines for AI/ML. It is also valuable for developers and system architects aiming to expand their knowledge of data-driven technologies.

DESCRIPTION"Azure Cookbook" is a practical guide designed to help developers, system administrators, and cloud architects master Microsoft Azure through hands-on solutions. This book offers step-by-step recipes for tackling real-world challenges using Azure's vast range of services.This book covers many important topics related to Azure, such as storage, networking, virtual machines, containers, and application development. It offers practical tips and step-by-step instructions for creating and managing secure Azure applications. You will learn about various Azure services, including Azure Storage, Virtual Networks, App Service, and Azure Security Center. Whether you are new to Azure or have some experience, this guide will help you gain the skills needed to use Azure effectively for your cloud computing projects.With this book, you will not only enhance your Azure skills but also apply them directly to your job roles. By mastering the cloud, you will be equipped to design, deploy, and manage robust, scalable solutions-making you an invaluable asset in today's cloud-driven world.KEY FEATURES¿ Step-by-step Azure recipes for real-world cloud solutions mastery.¿ Troubleshoot Azure issues with expert tips and hands-on guidance.¿ Boost skills with practical examples from core to advanced services.WHAT YOU WILL LEARN¿ Deploying and managing Azure Virtual Machines, Networks, and Storage solutions.¿ Automating cloud infrastructure using Bicep, ARM templates, and PowerShell.¿ Implementing secure, scalable, and cost-effective cloud architectures.¿ Building containerized apps with Azure Kubernetes Service (AKS).¿ Creating serverless solutions using Azure Functions and Logic Apps.¿ Troubleshooting Azure issues and optimizing performance for production workloads.WHO THIS BOOK IS FORThis book is for developers, cloud engineers, system administrators, and architects looking to deepen their understanding of Microsoft Azure and want to learn how to effectively utilize Azure for their cloud computing needs.

DESCRIPTION Azure FinOps, the intersection of finance, operations, and technology, has become paramount in optimizing cloud spending. "Azure FinOps Essentials "is a guide to help you navigate easily with cost management and optimization within Microsoft Cloud. This book is a practical guide to cutting cloud costs in Microsoft Azure. It covers everything from understanding Azure services and cost management to advanced strategies like Infrastructure as Code and serverless computing. You will learn to set up Azure Cost Management, optimize resources with tools like Reserved Instances, and enforce governance using Azure Policy. The book also highlights case studies and best practices to help you build a FinOps culture, streamline costs, and enhance cost-efficiency in your cloud environment.If you are new to cloud financial management or need a refresher on some of the best practices, Azure FinOps Essentials is designed for anyone running an operational workload in both public and private clouds who wants to improve their expense management within the environment.KEY FEATURES ¿ An in-depth guide to the fundamentals of Azure cost management.¿ Detailed instructions for creating cost alerts and establishing budgets.¿ Practical strategies to enhance cloud resource efficiency.WHAT YOU WILL LEARN¿ Establish and enforce standards for Azure cloud cost management through auditing.¿ Learn cost-saving tactics like rightsizing and using Reserved Instances.¿ Master Azure tools for monitoring spending, budgeting, and setting up alerts.¿ Build custom dashboards to accurately display key financial metrics.WHO THIS BOOK IS FORThis book is for cloud architects, DevOps engineers and IT professionals managing costs in Azure environments. It provides the necessary knowledge and skills to optimize cloud spending, improve efficiency, and drive business value.