Building AI Agents with the OpenAI SDK

AI agents are transforming how we interact with technology, moving beyond simple chatbots to systems that can reason, plan, and execute tasks. If you want to understand how these autonomous systems work under the hood, starting with the fundamentals is the key. Through this text-based course, you will transition from writing basic prompts to building functional AI agents using Python and the OpenAI SDK. You will master the core concepts of agentic workflows, tool calling, and state management without needing complex frameworks. What you'll learn: Understand the core architecture of LLM-based agents and how they differ from traditional software; Configure your development environment securely using virtual environments and API keys; Write clean Python code using the OpenAI SDK to send prompts and handle structured outputs; Build tools and function-calling interfaces that allow your agent to interact with external data; Implement basic memory and state management to help your agent maintain context over multiple turns; Apply modern Python practices like type hints and async/await to ensure your agent code is robust and efficient. You will start with foundational AI terminology and basic API interactions before progressing to multi-step reasoning loops and tool integration. Each concept is reinforced with clear written explanations and practical code-along exercises that you can run in your terminal. This course is designed for beginner developers, software engineers, and tech enthusiasts who have a basic familiarity with Python and want to learn how to build AI-driven applications. Start reading today to build your very first autonomous AI agent from scratch.