**Generative AI with Agentic AI** is a practical guide for understanding and building modern AI applications using Generative AI, Large Language Models (LLMs), and Agentic AI.

The book begins with the fundamentals of Generative AI and Large Language Models and gradually moves toward advanced concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, tool calling, memory, workflows, and autonomous AI systems.

You will learn how to work with popular AI technologies and frameworks such as **LangChain, LangGraph, embeddings, vector databases, and LLM APIs** to create intelligent applications capable of reasoning, using tools, retrieving information, maintaining context, and performing multi-step tasks.

### Key Topics Covered

* Generative AI Fundamentals
* Large Language Models (LLMs)
* Prompt Engineering
* Advanced Prompting Techniques
* AI Agents and Agentic AI
* Tool Calling and Function Calling
* Retrieval-Augmented Generation (RAG)
* Embeddings and Vector Databases
* LangChain
* LangGraph
* AI Agent Workflows
* Memory and Context Management
* Multi-Agent Systems
* Human-in-the-Loop AI
* LLM-Based Applications
* AI Automation
* Real-World Generative AI Projects
* Practical Agentic AI Applications

The book focuses on **hands-on learning and practical implementation**, making it useful for students, developers, software professionals, trainers, and anyone interested in building AI-powered applications.

Whether you are beginning your journey with Generative AI or want to move toward advanced Agentic AI systems, this book provides a structured path from fundamental concepts to practical AI applications and intelligent automation.