**Machine Learning with Agentic AI** is a practical and comprehensive guide for students, developers, professionals, and AI enthusiasts who want to move from traditional machine learning to the rapidly evolving world of Generative AI and Agentic AI.

This book begins with the fundamentals of Machine Learning and gradually progresses toward advanced AI concepts, including Deep Learning, Large Language Models (LLMs), Generative AI, AI Agents, and Agentic AI systems. With a strong focus on Python and practical implementation, readers can learn how modern intelligent systems are designed, developed, and deployed.

The book covers essential Machine Learning concepts, data preprocessing, feature engineering, supervised and unsupervised learning, model training, evaluation, and practical AI applications. It then introduces Deep Learning and modern Generative AI technologies, helping readers understand how LLM-powered applications are built.

A major focus of the book is **Agentic AI**, where readers learn how AI agents can reason, use tools, interact with external systems, maintain context, and perform multi-step tasks autonomously. The book also introduces concepts related to LLM applications, AI agents, tool calling, workflows, RAG, and modern agent-based architectures.

### Key Topics Covered:

* Machine Learning Fundamentals
* Python for Machine Learning
* Data Preprocessing and Feature Engineering
* Supervised and Unsupervised Learning
* Regression and Classification
* Model Evaluation and Optimization
* Deep Learning Fundamentals
* Generative AI
* Large Language Models (LLMs)
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* AI Agents and Tool Calling
* Agentic AI Architecture
* Multi-Step AI Workflows
* LangChain and Modern AI Frameworks
* Practical AI and Machine Learning Projects
* Real-World Agentic AI Applications

Whether you are a beginner starting your AI journey or a developer looking to upgrade your Machine Learning skills with Generative AI and Agentic AI, this book provides a practical path from fundamental concepts to building modern intelligent applications.