This book serves as a structured and in-depth resource for engineering students, professionals, and researchers seeking to build expertise in Artificial Intelligence. Starting with core concepts in mathematics and statistics, the book gradually advances through Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI, ultimately leading to an in-depth exploration of Agentic AI and its potential impact on the future. Key Features: Balanced Approach: Integrates theory with hands-on practice, including code snippets, exercises, and full project implementations. Step-by-Step Learning Journey: Starts with foundational math and statistics, moving through ML, DL, NLP, Generative AI, and culminating in Agentic AI. Future-Focused Insights: Explores emerging AI trends like Large Language Models (LLMs) and Agentic AI, emphasizing adaptability in a fast-evolving field. From Basics to Cutting Edge: Covers content from grassroots fundamentals to advanced AI, making it a complete guide from ML to Agentic AI.