AI Agents in Practice: Design, implement, and scale autonomous AI systems for production

Valentina Alto

Master the art of building AI agents with this hands-on guide to orchestration, multi-agent systems, real-world case studies, and ethical insights to drive immediate business impact

Key Features
Build production-ready AI agents with hands-on tutorials for diverse industry applications
Explore multi-agent system architectures with practical frameworks for orchestrator comparison
Future-proof your AI development with ethical implementation strategies and security patterns

What you will learn
Build core agent components such as LLMs, memory systems, tool integration, and context management
Develop production-ready AI agents using frameworks such as LangChain with code
Create effective multi-agent systems using orchestration patterns for problem-solving
Implement industry-specific agents for e-commerce, customer support, and more
Design robust memory architectures for agents with short- and long-term recall
Apply responsible AI practices with monitoring, guardrails, and human oversight
Optimize AI agent performance and cost for production environments

Who this book is for
This book is ideal for AI engineers and data scientists looking to move beyond basic LLM implementations to build sophisticated autonomous agents. Software developers and system architects will find practical guidelines for integrating agents into existing tech stacks. Product managers and technical entrepreneurs will gain strategic insights into how AI agents can solve business problems across industries. A basic understanding of machine learning concepts and working knowledge of Python are required to make the most of this book and implement production-ready AI agent systems.