Computer Science and Technology

Build today’s most in-demand tech skills with this 4-book beginner set covering AI, Machine Learning, Data Analytics, and Python. Whether you want to understand how AI works, build machine learning models, analyze real-world data, or code confidently in Python, this bundle gives you a clear, structured path from fundamentals to practical application.

What's Inside:

• Data Analytics Essentials You Always Wanted to Know
• Turn raw data into insights with essential tools, techniques, and analytics methodologies.
• Learn faster with real-world case studies that connect concepts to practical outcomes.
• Understand big data, privacy, and regulation, including ethical challenges and legal frameworks.

• Artificial Intelligence Essentials You Always Wanted to Know
• Build a strong AI foundation with clear explanations of AI concepts, machine learning, and deep learning.
• Explore NLP, computer vision, and generative AI through simplified, real-world examples.
• Apply AI responsibly and confidently with practical learning, ethical AI guidance, and career prep resources.
• Machine Learning Essentials You Always Wanted to Know
• Master the core machine learning concepts: supervised, unsupervised, and reinforcement learning.
• Learn essential algorithms and techniques, including decision trees, KNN, SVM, and ensemble methods (bagging, boosting).
• Prepare for real-world ML projects by understanding how to design and develop ML applications end-to-end.

• Python Essentials You Always Wanted to Know
• Start coding in Python from scratch with clear, jargon-free instructions and practical examples.
• Strengthen core programming fundamentals with data structures, functions, modular programming, OOP, and exception handling.
• Practice with real case studies and explore emerging trends like AI/ML, IoT, web scraping, and web frameworks.

Get the skills that power modern innovation—Artificial Intelligence, Machine Learning, Data Analytics, and Python programming—in one complete bundle packed with beginner-friendly explanations, hands-on practice, and real-world relevance.

Most data science journeys start with Python, move into data analytics, and lead to machine learning. This combo brings all three together in one easy-to-follow package:

• Python Essentials gives you coding confidence from scratch
• Data Analytics Essentials teaches you how to find insights in data
• Machine Learning Essentials shows you how to make predictions and automate decisions

Book 1: Machine Learning Essentials

With this book, you will:

• Learn how data fuels modern machine learning systems, from training algorithms to making accurate predictions
• Tackle complex topics like deep learning and neural networks—made easy with clear, beginner-friendly explanations
• Discover how ML is applied in the real world, with examples from industries like healthcare, education, and more

Book 2: Python Essentials

With this book, you will:

• Gain a solid foundation in Python, making it easier to progress to more advanced topics with simple and step-by-step explanations
• Get a deep understanding of object-oriented programming principles, which are vital skills for writing clean, scalable, and reusable Python code
• Stay ahead of the curve by diving into exciting fields like AI, Machine Learning, and IoT with Python

Book 3: Data Analytics Essentials

With this book, you will:

• Get a clear understanding of key concepts, terminology, and the evolution of data analytics
• Understand the transformative role of Big Data and how it reshapes industries globally
• Explore how industry giants like Walmart and Netflix use data analytics to drive business decisions.

Unlock your potential with this comprehensive Set of 4 Books designed to strengthen your understanding of data and technology. From mastering Data Analytics to exploring Machine Learning and Python Programming, this bundle covers a wide range of essential skills..

Book Highlights:

• ● Data Analytics Essentials: Discover the key tools, techniques, and real-world applications of data analytics. Master big data analysis, ethical considerations, and gain hands-on experience through case studies.
• ● Machine Learning Essentials: Understand the fundamentals of machine learning and AI, including supervised, unsupervised, and deep learning algorithms. Practical coding exercises guide you through building AI-driven solutions.
• ● Python Essentials: Master the basics of Python programming and data structures. Ideal for beginners, this book helps you learn through hands-on coding exercises and real-world examples.
• ● Data Structures and Algorithms Essentials: Master Python, recursion, dynamic programming, and greedy algorithms to optimize your coding skills and technical problem-solving.

This Set of 4 Books is a valuable resource for students, learners, and anyone looking to build strong foundations in data and technology, helping you stay prepared in today’s data-driven world.

Learn AI, Machine Learning, and Deep Learning in One Easy-to-Understand Guide

Artificial Intelligence is transforming the way we live, work, and interact—but understanding it doesn’t have to be overwhelming.

Artificial Intelligence Essentials You Always Wanted to Know is a clear, engaging, and practical introduction to AI perfect for business professionals, career switchers, tech enthusiasts, and lifelong learners.

From understanding how AI models are built to exploring cutting-edge technologies like Neural Networks and Generative AI, each chapter breaks down complex ideas into manageable sections complete with summaries and quizzes to reinforce key learnings.

Key Features of the Book

A Clear Introduction to AI

Learn how AI has evolved and how it’s transforming industries from finance and healthcare to retail and education.

Foundational Concepts Made Simple

Understand how AI solves problems, the three core learning paradigms, and the basics of model development.

Machine Learning Techniques Explained

Dive into key methods like regression, classification, and clustering, and discover when to apply them in real-world scenarios.

Deep Learning Demystified

Explore neural networks, CNNs, and RNNs, and understand how deep learning is driving innovation in various fields.

Explore Core AI Domains

• Natural Language Processing (NLP) – Learn how machines process and generate human language.
• Computer Vision (CV) – Discover how AI understands the visual world.
• Generative AI – Learn the basics of prompt engineering, large language models (LLMs), and content creation.

Bonus: Online Job Prep Support

Access exclusive interview questions to help you prepare for roles in a rapidly growing job market.

Take the first step toward mastering AI and equip yourself for the future that's already unfolding.

Learn Python the Easy Way with No Prior Experience!

Key Features include:

• Comprehensive coverage of Python basics
• Ideal for beginners and career changers
• Real-world applications and case studies
• Practical examples and quizzes for reinforcement

Get ready to program with Python- one of the most in-demand skills of this decade!

If you are interested in learning programming, but not sure where to start, Python Essentials You Always Wanted to Know is your guide to learning Python, one of the most versatile and beginner-friendly programming languages. This book is designed with absolute beginners in mind, focusing on clear explanations and practical examples rather than technical jargon. Regardless of skill level, there’s something here for everyone, from the basics of programming logic to more advanced topics like object-oriented programming and error handling. Whether you’re a student, a professional transitioning into tech, or simply curious about coding, this book will help you to think like a programmer and enhance your programming skills.

The book also includes a chapter dedicated to case studies, giving you the opportunity to practice and apply the discussed concepts. Additionally, you will gain exclusive access to an online glossary of functions and methods mentioned throughout the book to help you retain and understand crucial programming terms.

After reading this book, you’ll be able to:

• Understand programming fundamentals and Python syntax
• Apply data structures, functions, and modular programming
• Implement object-oriented principles in your projects
• Leverage Python for data analysis and business insights
  
  Part of Vibrant Publishers’ Self-Learning Management Series, the book serves as a valuable guide for developing programming skills to complement your existing expertise and advance your career.

• Covers key algorithms and techniques
• Ideal for students and professionals
• Hands-on implementation included

Master the fundamentals of ML and take the first step towards a career in AI!

In today’s rapidly evolving world, machine learning (ML) is no longer just for researchers or data scientists. From personalized recommendations on streaming platforms to fraud detection in banking, ML powers many aspects of our daily lives. As industries increasingly adopt AI-driven solutions, learning machine learning has become a valuable skill. Yet, many find the subject overwhelming, often intimidated by its mathematical complexity. That’s where Machine Learning Essentials You Always Wanted to Know (Machine Learning Essentials) comes in. This beginner-friendly guide offers a structured, step-by-step approach to understanding machine learning concepts without unnecessary jargon. Whether you are a student, a professional looking to transition into AI, or simply curious about how machines learn, this book provides a clear and practical roadmap to mastering ML.

Authored by Dhairya Parikh, an experienced data engineer who returned to academia to refine his expertise, this book bridges the gap between theory and real-world application. It simplifies the core concepts of ML, breaking them down into digestible explanations paired with hands-on coding exercises to help you apply what you learn.

What You’ll Learn:

• The fundamentals of machine learning and how it powers modern technology
• The three key types of ML—Supervised, Unsupervised, and Reinforcement Learning
• How to combine algorithms, data, and models to develop AI-driven solutions
• Practical coding techniques to build and implement machine learning models

Part of Vibrant Publishers’ Self-Learning Management Series, this book serves as a valuable guide for building machine learning skills, enhancing your expertise, and advancing your career in AI and data science.

Learn the core data structures and algorithms for optimized Python coding.

• Learn how to write code that doesn’t just work—but works smarter
• Understand the performance impact of data structures and algorithm choices
• Master essential patterns like recursion, dynamic programming, and greedy logic
• Use practical tools to solve real problems with efficient, scalable Python code

You’ve mastered the basics of Python— now it’s time to think bigger. 

It’s time to write code that’s not just correct, but smart, efficient, and built to scale. Data Structures and Algorithms Essentials You Always Wanted to Know helps you transition from Python basics to tackling complex problems with ease. It’s your next step towards mastering the tools, patterns, and thinking needed to tackle real-world challenges—whether you're optimizing performance, preparing for interviews, or building smarter apps.

From core concepts like Big O notation, lists, stacks, and queues, to advanced structures like linked lists, trees, and graphs, this book guides you through each topic with crystal-clear explanations and Python-based examples. You'll also explore powerful strategies such as recursion, greedy algorithms, and dynamic programming, learning not just how they work but when and why to use them.

This isn’t a theory-heavy textbook. It’s a practical guide, grounded in application. Each chapter includes hands-on coding tasks, quizzes, case studies, and real-world scenarios—like managing team rosters, analyzing social networks, or checking for palindromes—to help you apply what you learn in meaningful ways.

You’ll learn how to:

• Think algorithmically and communicate your ideas clearly
• Analyze and optimize code using Big O notation
• Write recursive functions that are both readable and robust
• Use classic data structures and design patterns with confidence

• Cybersecurity governance risk and compliance
• Cybersecurity standards, roles, and processes
• Cybersecurity disciplines and functions
• Cybersecurity planning, execution, and control
  

Cybersecurity Essentials You Always Wanted to Know is a complete yet compact and easily understandable guide for anyone wanting to learn the fundamentals of Cybersecurity.

The proper application of cybersecurity standards, tools, and methodologies can be greatly beneficial in reducing cyber threats and risks in organizations. But what exactly is cybersecurity and is it always beneficial to understand cybersecurity? Essentials of Cybersecurity provides a firm foundational understanding of the major cybersecurity principles when it is appropriate to use selected principles, and the commonly used cybersecurity practices.

By understanding the basics of cybersecurity through this book, one will be able to adapt cyber response processes to the changing cyber threat landscape, deploy appropriate cybersecurity controls, and optimize the effectiveness of existing controls.

The reader will gain an understanding of the following from this book:

• An overview of cybersecurity governance, risk management, and compliance (GRC) practices.
• An overall understanding of cybersecurity, its standards, and best practices
• The  various aspects of cybersecurity planning, execution, and evaluation
• The applicability of cybersecurity in software development, IT operations, Incident Response (IR), and business resilience practices.
• The concepts and practices involved in Identity and Access Management (IAM)  and reporting.
• An introduction to cloud security, a key aspect of cybersecurity

• Understand the history, foundation, and use cases of blockchain
• Discover how the decentralized system of blockchain functions and creates a trust mechanism
• Read about the components of blockchain and the different types of blockchains
• Create a private blockchain and deploy a smart contract onto a blockchain
• Learn the differences between fiat currency and cryptocurrency
• Incorporate blockchain technology into your projects
• Know the potential dangers surrounding the concepts of blockchain
  
  Blockchain Essentials You Always Wanted To Know brings a lucid approach to learning the fundamentals of blockchain technology. The book covers the fundamentals of blockchain from a technical standpoint in an easy-to-understand language that allows anyone to grasp its intricacies.

Blockchain Essentials begins by explaining the central concept of blockchain technology–the decentralization system–and dives deeper into concepts like cryptography, Merkle trees, mining, cryptocurrency, and consensus algorithms which form the core of blockchain technology. The book contains a dedicated chapter on creating a smart contract using the Truffle and Ganache software. The necessary steps to be taken to adapt blockchain into a project are also discussed in detail in this book.

Blockchain Essentials also includes quizzes, fun facts, and real-life case studies to make your self-learning process smoother! In addition, you can access pre-made smart contract programs from the online resources of this book.

Please note: This book does not cover topics such as cryptocurrency investment strategies, timing the market, or how to profit from Bitcoin.

Blockchain Essentials is part of Vibrant Publishers’ Self-Learning Management series.

Master Java programming from fundamentals to interview preparation with this comprehensive three-book collection.

Designed for students, hobbyists, self-learners, professionals transitioning into software development, career starters, and aspiring developers, this set provides a structured path from writing your first Java program to preparing for professional developer interviews.

Java Essentials Volume 1: Programming Fundamentals Covers:

• Java programming fundamentals, including variables, data types, control flow, operators, strings, and arrays.
• Step-by-step guidance for setting up the Java Development Kit (JDK), writing your first Java program, and troubleshooting common compile-time and runtime errors.
• Practical exercises that help build confidence in developing functional Java applications and prepare readers for object-oriented programming concepts.

Java Essentials Volume 2: Object-Oriented Programming and Beyond Covers:

• Object-oriented programming concepts, including classes, inheritance, polymorphism, interfaces, and exception handling.
• Collections Framework, Generics, I/O Streams, and GUI development using AWT and Swing with practical application examples.
• Professional coding practices and hands-on experience that support the development of larger, more robust Java applications.

Core Java Interview Questions (Second Edition) Covers:

• A focused review of Core Java concepts, including Java 8 and Java 9 features.
• Scenario-based interview questions designed to strengthen technical understanding and problem-solving skills.
• Resume guidance, aptitude preparation, and resources that support technical and HR interview readiness.

Each book includes practical exercises, real-world examples, and quizzes that reinforce learning and skill development. Together, this collection helps readers build a strong foundation in Java programming, expand their technical capabilities, and prepare for entry-level software development opportunities.

• Beginner-friendly explanations
• Illustrative code snippets
• Emphasis on clean syntax and good coding practices
• Coding tasks for hands-on learning
  

Java Essentials Volume 1: Programming Fundamentals is a comprehensive and beginner-friendly guide designed for anyone seeking a solid foundation in Java programming. Whether you're a self-learner, student, or educator, this volume offers a well-structured and practical introduction to the essentials of Java, blending theory and hands-on examples in a clear and engaging way.

This book introduces readers to the Java programming language with an emphasis on clarity, pedagogy, and real-world relevance. The content is structured to reflect the actual learning curve of new programmers, starting from how to set up the Java Development Kit (JDK) all the way to mastering core programming constructs such as variables, data types, operators, control flow, methods, strings, arrays, and more.

Key topics covered include:

• Downloading, installing, and configuring the JDK on your Machine
• Understanding Java program structure
• Declaring and using variables and constants
• Using operators and expressions effectively
• Writing conditional and loop-based logic
• Creating and using methods
• Working with strings, arrays, and user input
• Applying good coding practices and debugging techniques
  

This book is ideal for:

• First-year computer science students
• Senior high school students in ICT or programming strands
• Hobbyists and professionals transitioning into software development
• Instructors looking for beginner-level curriculum support
  

By the end of the book, learners will be confident in writing functional Java programs and well-prepared for more advanced topics like object-oriented programming, which will be covered in Volume 2.

Master Advanced Java Programming with Complete Object-Oriented Development Skills

Key Features include: 

• Comprehensive object-oriented programming coverage from basic to advanced 
• Ideal for students, self-learners, and aspiring software developers 
• Practical GUI development with AWT and Swing frameworks
• Real-world application projects and hands-on coding exercises

Ready to upgrade your Java programming skills and build professional applications?

If you've mastered Java fundamentals and want to advance to object-oriented programming mastery, Java Essentials Volume 2: Object-Oriented Programming and Beyond is your comprehensive guide to modern Java application development. This book is meticulously designed for students , self-taught programmers ready for advanced techniques, and developers seeking to strengthen their foundation in professional-grade Java development.

The book expertly guides you through essential object-oriented concepts including classes, inheritance, polymorphism, and interfaces, then advances to practical application development with exception handling, file I/O, and the powerful Collections and Generics Framework. You'll gain hands-on experience building complete desktop applications using AWT and Swing, mastering event handling techniques that reflect real-world software engineering practices.

Each chapter builds systematically on previous knowledge, supported by clear examples, practical exercises, and professional coding standards that prepare you for industry-level Java development.

After reading this book, you'll be able to: 

• Design and implement robust object-oriented Java applications 
• Master inheritance, polymorphism, and advanced class features 
• Build professional desktop applications with GUI frameworks
• Handle exceptions and assertions for reliable, production-ready code

Part of the SLM Series, this book serves as an invaluable resource for advancing from beginner programming to professional Java application development.

Learn AI, Machine Learning, and Deep Learning in One Easy-to-Understand Guide

Artificial Intelligence is transforming the way we live, work, and interact—but understanding it doesn’t have to be overwhelming.

Artificial Intelligence Essentials You Always Wanted to Know is a clear, engaging, and practical introduction to AI perfect for business professionals, career switchers, tech enthusiasts, and lifelong learners.

From understanding how AI models are built to exploring cutting-edge technologies like Neural Networks and Generative AI, each chapter breaks down complex ideas into manageable sections—complete with summaries and quizzes to reinforce key learnings.

Key Features of the Book

A Clear Introduction to AI

Learn how AI has evolved and how it’s transforming industries from finance and healthcare to retail and education.

Foundational Concepts Made Simple

Understand how AI solves problems, the three core learning paradigms, and the basics of model development.

Machine Learning Techniques Explained

Dive into key methods like regression, classification, and clustering, and discover when to apply them in real-world scenarios.

Deep Learning Demystified

Explore neural networks, CNNs, and RNNs, and understand how deep learning is driving innovation in various fields.

Explore Core AI Domains

• Natural Language Processing (NLP) – Learn how machines process and generate human language.
• Computer Vision (CV) – Discover how AI understands the visual world.
• Generative AI – Learn the basics of prompt engineering, large language models (LLMs), and content creation.

Bonus: Online Job Prep Support

Access exclusive interview questions to help you prepare for roles in a rapidly growing job market.

Take the first step toward mastering AI and equip yourself for the future that's already unfolding.

Are you looking for practical ways to use generative AI to reduce your workload without compromising the quality of your teaching?

Generative AI for Educators: Practical Strategies to Reduce Workload, Save Time, and Support Student Learning is a practical guide for middle school and high school teachers who want to use generative AI responsibly and effectively in the classroom. Written in clear, accessible language, it focuses on classroom-ready strategies that help educators save time while keeping professional judgment at the center of every decision.

You'll discover how generative AI can support lesson and unit planning, classroom materials, assessments, rubrics, feedback, differentiation, communication, and everyday administrative tasks. The book also explores responsible AI use, including student privacy, data protection, bias, accessibility, transparency, and academic integrity.

Inside the book, you'll learn how to:

• Reduce teacher workload by streamlining planning, assessments, feedback, and communication
• Create AI-assisted teaching resources through effective prompting and evaluation
• Protect student privacy and use AI responsibly
• Build sustainable classroom workflows with downloadable templates, checklists, and prompt libraries

Written by veteran educator, curriculum developer, programmer, and author Shawn Peters, the book includes chapter summaries, Food for Thought reflections, Try This! activities, classroom case studies, and downloadable resources to help you confidently apply each concept.

What if the most important information in your data lies not in individual rows and columns, but in the connections between them? Graph machine learning helps uncover patterns hidden in these relationships.

Graph Machine Learning Essentials is a practical and accessible guide to understanding how machine learning works with graph-structured data, where entities are connected through relationships.

Designed for software engineers, ML engineers, data scientists, research scholars, professionals, cybersecurity analysts, and students, the book introduces graph machine learning in a clear and structured way. It begins with the fundamentals of graph theory and moves into core graph learning tasks such as node classification, edge prediction, and graph classification. Readers learn how graphs are represented in data structures, how node and edge embeddings work, and why traditional machine learning approaches do not directly apply to graph data.

The book gradually builds toward graph neural networks, message passing, and advanced GNN architectures while explaining practical challenges such as graph construction, scalability, oversmoothing, and over-squashing. Concepts are connected to real-world applications across domains such as recommender systems, fraud detection, cybersecurity, bioinformatics, transportation networks, and knowledge graphs.

The book includes two helpful appendices one reviewing essential machine learning concepts and the other introducing PyTorch Geometric to help readers get started quickly.

After reading this book, you will be able to:

• Understand key graph machine learning concepts and terminology
• Implement graph neural networks using PyTorch Geometric
• Work on real-world graph learning problems across industries
• Handle practical challenges such as large graphs and oversmoothing