Build AI Agents in Python Using the OpenAI Agents SDK

AI agents are transforming how we automate tasks and interact with software. If you want to harness the power of agentic AI, learning to build these systems programmatically is an essential skill. This text-based course guides you through the process of creating functional AI agents using Python. Starting with core terminology and foundational definitions, you will progress to writing clean, modern Python code to orchestrate intelligent workflows. You will explore how to connect to language models, manage conversation state, and implement tools that allow your agents to interact with external data. What you'll learn: - Understand the fundamental concepts and terminology of agentic AI. - Configure the OpenAI Agents SDK in a modern Python virtual environment. - Apply current Python practices like type hints and async/await for robust API calls. - Build custom tools and functions that your AI agents can execute autonomously. - Implement basic Retrieval-Augmented Generation (RAG) patterns to give agents context. - Practice writing effective system prompts to guide agent behavior and decision-making. The course flows from basic theoretical concepts to practical, written coding exercises. You will read through step-by-step text tutorials and analyze code snippets to build progressively more capable AI assistants. This course is designed for beginners and developers new to AI; basic familiarity with Python is helpful, but no prior machine learning experience is required. Start reading today to build your first intelligent AI agent.