AI Books
Artificial Intelligence (AI) is no longer a futuristic concept; it is the powerful force already woven into your daily life—from personalized playlists and smart assistants to job tools and fraud detection. AI is accelerating the pace of change across every industry, making a basic understanding of its concepts a necessary skill for everyone.
Yet, the world of AI can feel daunting, quickly filling up with technical jargon that leaves many feeling confused or left behind. If you've ever felt that AI is "too technical" or "not for me," we created this series specifically for you.
You don't need a coding degree to engage confidently in the AI conversation.
Introducing: The Basics of AI Terms and Concepts Series
We designed this multi-volume book series to be your friendly, non-technical guide to demystifying the essential building blocks of AI. We break down the complexity into clear, straightforward terms.
Why Choose This Series?
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Jargon-Free Clarity: We explain complex concepts in plain English, using simple analogies to help them instantly click.
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Real-World Relevance: Learn how each term impacts your life, whether you're a student, a job seeker, or a curious lifelong learner.
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Confidence Building: Each book introduces 25 core terms, building your vocabulary step-by-step so you can talk about AI with confidence and control.
Stop feeling overwhelmed and start empowering yourself. Your journey to basic AI literacy begins right here.
Browse the books below and click the links to secure your copy and start your journey toward understanding the technology shaping your tomorrow!
Who are these eBooks for -
Are you curious about Artificial Intelligence but feel unsure where to start? Are you looking for a quick refresher on the basic concepts of AI? Then this book is for you! It's for anyone who wants to build a solid understanding of AI terms and concepts, empowering you to understand its impact on your life and participate in discussions about the future.
While technically-minded individuals will find value in its broad coverage, and can always use it as a quick reference, the readers who will benefit most are those who are new to AI:
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Young minds in middle or high school, encountering AI in games, social media, and future studies and are curious about the technology they see and hear about so much every day.
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Elderly individuals who might find the rapid pace of AI overwhelming but want to feel more connected and understand its relevance to their lives.
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Anyone using or planning to use AI-powered tools who desires to peek behind the curtain without getting lost in technical details.
Furthermore, this book is designed to be a "ready to use" reference for multiple purposes:
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For Professionals and Students: Use it to prepare for interviews, explain complex topics to non-technical colleagues or a client who doesn't have a tech background, or bridge the knowledge gap between different technical fields.
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For Innovators and Creators: It can be used as a source of inspiration, helping you understand the foundational AI concepts you can use to build your next big idea.
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To Create a Common Language: Use this book to help you have more meaningful conversations with family and friends about the technology that is shaping our world.
We have purposefully crafted this book to be easy to read and understand. By using simple language, relatable analogies, and real-world examples, we aim to empower you to grasp the basics of AI and join the conversation with confidence.
Published books in the series (1/8) -
Price - INR:
/ GBP:
99
Basics of AI Terms and Concepts - Book 1
eBook - Digital Print
Price- INR:
1.77
99
/ GBP:
1.77
Decoding the AI Buzzword Jungle.
Are you curious about Artificial Intelligence but feel overwhelmed by the technical jargon? You don't need a coding degree to understand AI. This book is your friendly, non-technical roadmap designed specifically for the curious beginner—from high school student to lifelong learner.
Book 1 is the essential first step in the "Basics of AI Terms and Concepts" series (8 books total). In this volume, we cut through the confusion to give you immediate clarity on 25 core AI terms and concepts. We explain each term simply, using easy-to-grasp analogies and real-world examples, so you can confidently engage in any AI conversation. Stop feeling left out—start speaking the language of AI today!
Contents
· Artificial Intelligence (AI)
· Algorithm
· Parameter
· Machine Learning (ML)
· Deep Learning (DL)
· Neural Network
· Convolutional Neural Networks (CNNs)
· Recurrent Neural Networks (RNNs)
· Generative Adversarial Networks (GANs)
· Supervised Learning
· Unsupervised Learning
· AI based Automation
· Chatbot
· IoT (Internet of Things)
· Edge Computing
· Edge AI
· Reinforcement Learning
· Prompt
· Prompt Engineering
· Explainable AI (XAI)
· Bias in AI
· Hallucination
· Algorithm Bias
· Singularity
· Cloud
Upcoming books in the series (7/8) -
Basics of AI Terms and Concepts - Book 2
eBook - Digital Print
Book 2 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Data in AI; Prediction by AI; Feature (in ML); Language Models; Large Language Models (LLMs); Small Language Models (SLMs); Hyperparameter; Transfer Learning; Classification; Clustering; Natural Language Processing (NLP); Computer Vision; Image Recognition; AI Agent; Generative AI; Agentic AI; Inpainting; Data Mining; Hyperparameter Tuning; Latency; Social Engineering of AI; AI Safety; AI Security; Quantum Machine Learning; Cloud Computing.
Basics of AI Terms and Concepts - Book 3
eBook - Digital Print
Book 3 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Model; Inference; Generation; Big Data; Regression; Fine-tuning; Loss Function; Backpropagation; Gradient Descent; Regularization; Time Series Analysis; Robotics; Analytical AI; Predictive AI (Predictive Analytics); API-based models; Local models; Hybrid models; Retrieval augmented generation (RAG); Query rewriting; Agent Development Kit (ADK); Overfitting; Artificial Narrow Intelligence (ANI) or Weak AI; Artificial General Intelligence (AGI) or Strong AI; Artificial Superintelligence (ASI); AI training chip.
Basics of AI Terms and Concepts - Book 4
eBook - Digital Print
Book 4 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Foundation Models; Feature Engineering; Training AI; Training Data; Diffusion Models; Knowledge Distillation in AI; Mixture of Experts (MoE); Testing Data; Model Evaluation; AI Token; Context Windows; Cloud AI and AIaaS; Inference as a Service; Super-resolution; Multimodal AI; AI-Powered OCR (Optical Character Recognition); Deepfake; AI Automation Tools; Data Preprocessing; Feature Selection; Validation Data; Ethics in AI; Responsible AI; Limited memory; Inference chip (FPGA).
Basics of AI Terms and Concepts - Book 5
eBook - Digital Print
Book 5 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Knowledge Representation; KRR - Knowledge Representation and Reasoning; Cognitive Computing; Long Short-Term Memory Networks (LSTM); Sequence-to-sequence models; K-Means Clustering; K-Nearest Neighbours (K-NN); Hierarchical Clustering; Linear regression; Logistic regression; Decision Tree; AI-Powered Workflows; Autonomous Agents; AI-Powered Personal Assistants; Text-to-image Models; Music generation models; Code generation models; Dataset (in context of AI); zero-shot prompting; few-shot prompting; Privacy in AI; Privacy-Preserving AI; Neuromorphic Computing; Symbolic AI; Near-Frontier Intelligence On-Device.
Basics of AI Terms and Concepts - Book 6
eBook - Digital Print
Book 6 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Expert System; Pattern Recognition; Embeddings; BERT; GPT-2; GPT-3; Palm2; CART; Random Forest; Boosting; Natural Language Query (NLU); Anomaly/Deviation Detection; Speech Recognition; Speech Synthesis (or Text-to-Speech); Emotion AI / Affective Computing; Predictive Maintenance; Recommendation System; Interpretable AI; Tokenization; Vector Search; Prompt Injection Attacks; Selection Bias; Democratization in AI; Theory of mind; On-Device LLM Execution.
Basics of AI Terms and Concepts - Book 7
eBook - Digital Print
Book 7 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Reactive machines; Structured Data; Unstructured Data; Deep Learning Architectures; Gradient Boosting; Ensemble Methods; Support Vector Machines (SVM); Transformers; Artificial Neural Network (ANN); Generative Models; Regression Modelling; Knowledge Graphs; Synthetic Data; Deepfake detection AI; AI-assisted engineering; Content Moderation AI; AI for Accessibility; Generative Design; Reinforcement Learning from Human Feedback (RLHF); Data Annotation / Data Labeling; Data Augmentation; Model Drift; Federated Learning in AI; Continual Learning / Lifelong Learning; Neural processing units (NPU).
Basics of AI Terms and Concepts - Book 8
eBook - Digital Print
Book 8 will continue to build up your vocabulary of AI terms by introducing another 25 terms, which should be easy to understand and simple to learn.
AI Terms covered in this book:
Augmented Intelligence; Rule-based Inference; AI Literacy; Deep Neural Networks (DNNs); Neural Natural Language Processing (NNLP); Weights and biases; Autoregressive language models; One-shot Learning; Few-shot Learning; Deep Reinforcement Learning (DRL); Bayesian Networks; Active Learning; Green AI / AI for Climate Change; Personalized Learning (AI in Education); Cybersecurity AI; AI in Gaming; Sentiment Analysis; Text Embeddings; Model Deployment; Human-in-the-Loop (HITL); Adversarial attacks; AI Governance; Self-aware; Neuro-Symbolic AI; AI Accelerators.
About the authior:
Rajib Deysarkar is the founder of AI Gyan Guru and the author behind the "Basics of AI Terms and Concepts" book series. With three decades of experience navigating the IT industry, he has spent the later part of his career helping major enterprises build and scale robust AI platforms and supporting technologies.
The Mission: Demystifying AI
Despite his deep technical background, Rajib recognized a critical gap: the widespread excitement surrounding AI was often matched by widespread confusion among non-technical observers. Many felt awed but fundamentally unfamiliar with AI's core mechanics.
This realization became his mission: to demystify Artificial Intelligence for everyone.
Rajib's approach, as reflected in this book series, deliberately moves beyond dry definitions. His books transform learning into an engaging experience by providing:
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Deeper Context: Explaining the why and how of each concept.
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Simple Analogies: Making complex ideas instantly relatable.
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Real-World Examples: Showing AI's impact on everyday life.
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Integrated Quizzes: Ensuring readers solidify their understanding and build genuine confidence.
Rajib believes that understanding the basics of AI is a necessary skill for navigating the future, regardless of one's profession or age. His goal is to empower you to feel included and confident in the global conversation about the technology shaping our tomorrow.
Connect with Rajib
Rajib welcomes feedback and suggestions on the book series:
Email:
LinkedIn: