Building AI Agents with OpenAI: Design, Automate, and Launch

Artificial intelligence is shifting from passive chat assistants to active, goal-driven agents that can execute tasks, use tools, and automate complex workflows. If you want to leverage this technology to build your own custom AI assistants, understanding how to configure and deploy these agents is an essential skill. This text-based course guides you from the fundamental principles of agentic AI to launching fully functional, automated agents. You will learn how to structure instructions, connect external APIs, and manage agent behaviors through clear, written explanations and practical step-by-step exercises. What you'll learn: 1. Understand the core concepts of agentic AI, including system instructions, memory, and tool usage. 2. Design effective system prompts that guide agent behavior with precision and guardrails. 3. Configure custom tools and actions to connect your agents to external data sources and APIs. 4. Apply retrieval-augmented generation (RAG) principles to give your agents access to specific documents. 5. Test and refine your agents to ensure consistent, reliable, and secure performance. 6. Launch and integrate your completed agents into daily workflows to automate repetitive tasks. The course begins with foundational definitions of AI agents and the mechanics of the agent builder interface. From there, you will progress through structured text-based lessons covering prompt design, tool integration, and deployment strategies. Designed for beginners, developers, and productivity enthusiasts alike, this course requires no prior programming experience. Start reading today to build and launch your first automated AI agent.