Agentic AI: A Practical Guide to Build Agent-Based AI Systems That Think and Act: A Hands-On Coding

Take your AI skills beyond basic prompt engineering and discover how to build autonomous AI agents that can think, reason, and take real action. Agentic AI is a hands-on guide for developers, AI practitioners, and tech builders who want to create real-world AI applications using Python, LLMs, and agent-based design.

This book focuses on building intelligent systems that can interact with tools, manage memory, and operate independently within dynamic environments. Whether you're working on digital assistants, automation workflows, co-pilot tools, or advanced research agents, this guide gives you the foundation and practical tools to make it happen.

With step-by-step examples and reusable code, you'll learn how to design adaptive, goal-driven agents that use APIs, vector stores, and orchestration frameworks to achieve complex tasks. This is not just theory. You will work with actual code using tools like CrewAI, LangGraph, Chroma, and FAISS, and build intelligent systems ready for deployment.

• Create agents with custom personas, tones, and domain-specific behavior

• Configure tool usage, API access, and workflows for real-world tasks

• Use vector stores like FAISS and Chroma to power long-term memory

• Build agents that adjust their actions based on goals and context

• Develop and manage multi-agent systems using LangGraph and CrewAI

• Test, monitor, and deploy agents with reliability and scalability in mind

• Prototype quickly and scale using containers or cloud-based environments

If you are ready to move beyond chatbots and start building AI systems that make decisions, interact with the world, and deliver real value, this book will guide you every step of the way. With practical projects and clear instruction, you will gain the confidence to build your own agentic AI applications from the ground up.