Master the OpenAI Agents SDK to design, build, and deploy intelligent AI agents and agentic systems for real-world applications by integrating, Tools, MCP, Agentic Memory, and RAG
Key Features
Build AI agents with OpenAI Agents SDK, featuring built-in tools, memory, guardrails, orchestration, tracing and more. Follow a hands-on project from a simple, basic agent to a complex assistant with multi-step workflows. Implement memory, RAG, orchestration, multi-agent systems, MCPs, tools for advanced workflows Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionThis book is a hands-on guide to building practical, intelligent AI agents and agentic systems using the official OpenAI Agents SDK. Designed for readers with beginner to intermediate technical backgrounds, this book introduces the core concepts, design principles, and architecture of AI agents in a clear, structured way.
You will first start by grounding yourself in the core concepts of AI agents, how they differ from other traditional systems, and their advantages. You will then learn about all the features of OpenAI Agents SDK by implementing it to build real-world, practical AI agents. These include tools, memory, RAG, multi-agent orchestration, tracing, handoffs, and more. Each chapter deepens your skills while contributing to a growing, end-to-end agent project.
Each chapter builds upon a continuous project that evolves in complexity, giving you immediate, applied experience as you progress. These include a custom support AI agent, an invoice processing and inventory management AI agent, a health advisor AI agent, a sales trainer AI agent, a data analyst AI agent, and so on. From building your first agent to deploying multi-agent systems integrated with external APIs and databases, you'll develop the confidence and skills to bring agentic AI into production What you will learn
Understand the core principles of AI agents Learn OpenAI Agents SDK Build single and multi-agent systems in Python Extend agent capabilities with external tools memory and features Add memory and stateful context to your agents Secure, monitor, and scale agents in production Orchestrate agent hand-offs and collaborations Automate business workflows using agentic AI design
Who this book is forThis book is ideal for LLM engineers, developers, tech-savvy professionals, analysts, and consultants who want to build practical agentic AI solutions using the OpenAI SDK. A foundational understanding of Python and basic AI concepts is recommended, but no prior experience with agents is required. Whether you're exploring agents for the first time or want to deepen your skills with hands-on projects, this guide delivers structured, production-ready knowledge.
