Create Your First AI Research Agent with OpenAI Agents SDK

Artificial intelligence is shifting from static chat interfaces to active, goal-driven agents. If you want to harness this power, building a dedicated research assistant is the perfect place to start. In this text-based course, you will learn how to design, configure, and run an autonomous research agent from scratch. You will progress from understanding core agentic concepts to writing Python code that enables your agent to search the web, analyze findings, and write clean, structured reports. What you'll learn: - Understand the foundational architecture of AI agents, tools, and execution loops. - Configure the OpenAI Agents SDK using modern Python development practices and secure environment variables. - Equip your agent with search tools to retrieve up-to-date information from the web. - Implement structured outputs to ensure your agent delivers reliable, predictable data formats. - Synthesize raw search results into comprehensive, well-formatted markdown reports automatically. The course starts with fundamental agent concepts and terminology, then guides you step-by-step through setting up your environment, writing the core agent logic, and testing its research capabilities. This course is designed for beginner developers and AI enthusiasts who have a basic understanding of Python. No prior experience with AI agent frameworks is required. Start reading today to build your very first autonomous research companion.