AI agents are transforming how businesses operate, from automating customer support to powering research and decision-making. This Professional Certificate gives you hands-on experience with the tools driving this transformation, i.e, GPT-5, the OpenAI Responses API, the Agents SDK, and the GPT Store.
Designed for software developers, engineers, and product professionals, this program helps you go beyond chatbots to design, build, and deploy production-ready AI agents. You’ll start by mastering the foundations of agentic AI and learning how to build intelligent tool-using agents with the Responses API. Next, you’ll develop custom functions, integrate third-party APIs, and orchestrate complex multi-agent systems using the OpenAI Agents SDK. Finally, you’ll learn to deploy your agents with Streamlit, Flask, and modern UI patterns, preparing them for real-world environments.
Through guided projects, labs, and applied practice, you’ll graduate with a portfolio of working agents, including a multi-tool technical support agent, a custom analytics agent, and a deployed production agent. Along the way, you’ll gain in-demand skills in agent orchestration, function calling, REST APIs, cost optimization, and secure deployment.
No prior AI experience is required, but basic proficiency in Python and familiarity with APIs are recommended. By completing this program, you’ll be prepared for emerging roles such as AI Engineer, Applied AI Developer, and AI Product Specialist.
Applied Learning Project
Learners complete a series of hands-on projects that mirror real-world AI development workflows. Early projects include building a tool-augmented research agent with the Responses API, creating custom tools and function calls, and designing long-running agents using Background Mode. Learners then advance to multi-agent systems with the Agents SDK, either a planner–executor workflow for technical learners or a strategy system for business-oriented learners. Capstone projects include publishing a production-ready agent to the GPT Store, building a data analyst agent that automates exploratory analysis with the Code Interpreter, and developing secure, auditable agents with strict tool permissions. Each project generates portfolio-ready artifacts—such as architecture blueprints, function call traces, and deployed GPT Store agents—demonstrating applied expertise in designing, integrating, and deploying AI agents with OpenAI tools.
