Agentic AI

Agentic AI is a practical and comprehensive guide designed for students, developers, AI enthusiasts, and professionals who want to understand and build intelligent AI systems capable of reasoning, planning, using tools, and completing complex tasks autonomously.

The book begins with the fundamentals of Agentic AI and Large Language Models (LLMs) and gradually progresses to advanced concepts such as AI agents, tool calling, memory, Retrieval-Augmented Generation (RAG), workflows, human-in-the-loop systems, and multi-agent architectures.

With a hands-on and project-oriented approach, readers will learn how to build AI agents that can interact with external tools, retrieve information, make decisions, execute multi-step tasks, and collaborate with other agents to solve real-world problems.

What You Will Learn
Introduction to Artificial Intelligence
Introduction to Generative AI
What is Agentic AI?
Generative AI vs Agentic AI
AI Agents and Intelligent Systems
Large Language Models (LLMs)
LLM-Based Applications
Prompt Engineering
Agent Architecture
Reasoning and Planning
Tool Calling and Function Calling
Agent Memory
Short-Term and Long-Term Memory
Retrieval-Augmented Generation (RAG)
Embeddings and Vector Databases
LangChain Fundamentals
Building Agents with LangChain
LangGraph Fundamentals
Graph-Based AI Workflows
State Management in Agents
ToolNode and Agent Workflows
Human-in-the-Loop Systems
Middleware and Agent Control
Multi-Agent Systems
Agent Collaboration
Autonomous AI Workflows
AI Agent Evaluation
Error Handling and Reliability
AI Agent Security
Building AI Agent Applications with Python
Real-World Agentic AI Projects
Who This Book Is For

This book is suitable for:

AI and Agentic AI beginners
BCA, MCA, B.Tech, and computer science students
Python developers
Software developers
Generative AI and LLM learners
Aspiring AI Engineers
Machine Learning and Data Science learners
Developers interested in AI Agents
Students preparing for AI and Generative AI interviews
Anyone interested in building autonomous AI applications