Build AI Agents with PythonMove beyond chatbots and learn to build AI agents that use tools, manage memory, and automate real-world tasks.Artificial intelligence is evolving beyond generating answers. AI agents can connect language models to tools, retrieve information, and perform multi-step tasks. This practical guide shows you how to build these capabilities with Python.Inside, you will learn how to:Build AI agents using Python and large language models (LLMs).Implement tool calling, function integration, and external API connections.Use prompts, structured outputs, memory, and retrieval-augmented generation (RAG).Create practical workflows for research, document question-answering, and task automation.Test agent performance, handle errors, improve security, and manage API costs.Prepare AI applications for deployment and real-world use.With clear explanations and practical code examples, this book focuses on essential techniques without unnecessary theory. You will learn not only how to build AI agents, but also how to make them more controlled, secure, and reliable.Designed for Python developers, aspiring AI engineers, and curious beginners with basic Python knowledge, this guide provides a practical foundation for exploring agentic AI and developing your own AI-powered applications.Nolan Mercer writes practical technology guides to help readers understand complex concepts and apply them with confidence. I believe technology is best learned through clear explanations and hands-on practice, and my aim is to make AI development more accessible by focusing on useful skills, practical examples, and techniques readers can build upon in their own projects.Start building smarter AI solutions with Python—one practical step at a time. Read more
