
Mastering AI with Python: A Beginner’s Guide to Machine Learning, Deep Learning, Generative AI, LLMs, and AI Agents
Author(s): Ghulam Mustafa (Author)
- Publisher: VertixCloud
- Publication Date: January 31, 2026
- Language: English
- Print length: 225 pages
- ISBN-10: 1919500405
- ISBN-13: 9781919500409
Book Description
Artificial Intelligence is transforming every industry, from software and finance to healthcare and automation.
Are you ready to build real AI systems using Python to future-proof your career?
Mastering AI with Python is a comprehensive, beginner-friendly guide written for the modern AI era (2026 and beyond).It takes you from Python fundamentals to building real-world Machine Learning, Deep Learning, Generative AI, and autonomous AI agents.
This book focuses on learning by building, not just theory. Every concept is reinforced with hands-on projects and practical workflows used in real AI applications.
What You’ll Learn Inside:
- Getting Started with Python: Master Python fundamentals for AI development and work with the essential Data Science stack, including NumPy, Pandas, and Matplotlib.
- Artificial Intelligence & Machine Learning: Build and train Machine Learning models with scikit-learn, covering regression, classification, and clustering.
- Neural Networks & Deep Learning: Dive into modern Deep Learning architectures, including CNNs for image classification and RNNs for text, using TensorFlow and Keras.
- Generative AI, Transformers, and Large Language Models: Understand the Transformer architecture, master prompt engineering, and generate text and images using GPT models and Hugging Face.
- Agentic AI, RAG and Autonomous Agents: Build next-generation AI Agents that can plan and act using LangChain, CrewAI, and the Model Context Protocol (MCP).
- Real-World AI Workflows and Projects: Apply your skills to practical projects, including a PDF Q&A Chatbot, customer segmentation, and predictive modeling.
Who This Book Is For:
- Beginners with no prior AI experience
- Python developers entering machine learning and AI
- Students and professionals preparing for AI-related roles
- Engineers and technologists seeking a modern AI foundation
- Anyone who wants a clear, practical, and modern AI roadmap
No prior artificial intelligence or machine learning knowledge is required — just curiosity and a willingness to learn.
What Makes This Book Different:
- 2026 Ready: Reflects the latest advancements in Agentic AI, LLMs, and the future of intelligence.
- Accessible Learning: Written specifically for beginners, without oversimplifying.
- Hands-On Projects: Includes real-world AI projects in every section, from image generation to building a RAG-powered chatbot.
- Modern AI systems: Deep coverage of LLMs, GenAI, RAG, MCP and Agentic AI.
- Clear progression: A logical path from fundamentals to real-world AI systems.
By the end of this book, you won’t just use AI tools — you’ll understand how AI works and how to build it yourself.
Start your journey into Artificial Intelligence today!
This book is ideal for self-learners, career switchers, and developers who want to confidently move into AI and Generative AI roles.
Editorial Reviews
Review
— AI Engineer
“This guide stands out for its simplicity, structure, and real-world relevance. Readers are not only introduced to AI theory but are also shown how to implement solutions using Python step by step. A valuable resource for students, developers, and aspiring AI professionals.”
—
“A well-organized introduction to modern AI powered by Python. The explanations are concise, beginner-friendly, and aligned with practical industry skills. Highly recommended for those looking to build a strong foundation before advancing to real AI projects.”
—
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