Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners by Yegor Tkachenko – Learn Python, Neural Network

Introduction

Artificial intelligence is no longer a distant dream—it is shaping the world around us, from voice assistants to recommendation systems. Yet for many beginners, the path to understanding AI feels blocked by complex math and intimidating jargon. Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners by Yegor Tkachenko is the bridge that turns confusion into clarity. This hardcover textbook is designed specifically for Indian students and self-learners who want a hands-on, no-nonsense entry into coding, machine learning, and large language models. Whether you are a college student in Mumbai, a working professional in Bengaluru, or a curious learner in any corner of India, this book will take you from zero to building your own miniature AI model—no prior programming experience needed.

Book Overview

This book is a coding and machine learning bootcamp compressed into a single, well-structured volume. It begins with the absolute basics of Python programming, assuming only a high school mathematics background. As you progress, you will explore essential math concepts like linear algebra and probability—explained in plain, intuitive language. The journey continues into neural networks, where you will understand how they learn and make predictions. The ultimate goal? By the final chapters, you will have coded and trained a pocket-sized language model from scratch. This is not a theoretical overview; it is a practical, step-by-step guide that makes you write code, debug it, and see your creation come to life.

Key Highlights

• Hands-on from day one: Every chapter includes coding exercises that build on each other, ensuring you learn by doing.
• No prior programming required: The book starts with Python fundamentals, making it accessible to absolute beginners.
• Build a real LLM: Unlike most beginner books, this one guides you to create a working language model—a truly rewarding achievement.
• Indian-friendly approach: Examples and analogies are chosen to resonate with Indian learners, avoiding Western-centric references.
• Hardcover durability: A premium physical copy that you can annotate, highlight, and keep on your desk for years.

Inside the Book

Open this book and you will find a carefully curated progression. Part one introduces Python—variables, loops, functions, and data structures—with plenty of practice problems. Part two demystifies the math: gradients, matrices, and probability, all explained without unnecessary complexity. Part three dives into deep learning: perceptrons, backpropagation, and building neural networks with popular libraries. Part four is the crown jewel—designing and training a small language model, complete with tokenization, embeddings, and attention mechanisms. Each chapter ends with review questions and mini-projects to solidify your understanding.

Key Topics

• Python programming for absolute beginners: syntax, control flow, and data types
• Essential mathematics for machine learning: linear algebra, calculus, and statistics
• Building neural networks from scratch: layers, activation functions, and training loops
• Deep learning frameworks: hands-on with TensorFlow and PyTorch basics
• Large language models (LLMs): how they work, tokenization, and transformer architecture
• Training your own pocket-sized LLM: data preparation, model design, and evaluation

Reader Benefits

• Gain real coding skills: You will write hundreds of lines of Python, building confidence and competence.
• Understand AI from the inside out: Instead of just using APIs, you will know how models actually learn and generate text.
• Boost your career prospects: AI and machine learning skills are in high demand across India’s tech industry—this book gives you a solid foundation.
• Learn at your own pace: The crash course format suits both fast learners and those who need more time to absorb concepts.
• Own a reference you can trust: The hardcover edition is built to last, serving as a go-to resource for years.

Learning Outcomes

By the time you finish this book, you will be able to: write Python programs independently; understand and apply core machine learning concepts; design and train a neural network; explain how large language models like GPT work; and build a functional, small-scale language model from scratch. More importantly, you will have the confidence to tackle more advanced topics in AI and data science, armed with a strong practical foundation.

Who Should Read

This book is perfect for students in Indian universities who want to enter the field of AI but feel overwhelmed by traditional textbooks. It is also ideal for working professionals—software engineers, data analysts, or even managers—who want to upskill without enrolling in expensive courses. Hobbyists and curious minds with a high school math background will find the journey engaging and rewarding. If you have ever dreamed of creating your own AI, this book is your starting point.

About the Author

Yegor Tkachenko is an experienced engineer and educator with a passion for making complex technology accessible. With years of hands-on work in machine learning and software development, he has taught hundreds of beginners to code and build AI systems. His writing style is clear, patient, and focused on practical results—exactly what a beginner needs. He believes that anyone can learn to create intelligent systems with the right guidance, and this book is his gift to the global learning community.

About the Publisher

Published by Yegor Tkachenko, this book is a self-published labor of love, ensuring that the content remains focused on the reader’s learning journey rather than corporate agendas. The publisher’s commitment is to deliver high-quality, practical educational resources that empower individuals to master new skills. Every page reflects a dedication to clarity, accuracy, and real-world applicability.

Conclusion

Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners is more than a book—it is a mentor, a workshop, and a launchpad. For Indian readers who want to step into the world of artificial intelligence without fear, this hardcover volume offers a structured, supportive, and exciting path. From your first line of Python code to your own trained language model, every page brings you closer to mastering one of the most transformative technologies of our time. Order your copy from Bookshops.in today and start building your AI future.