OpenAI Academy Courses

Earn your OpenAI Course Completion Certificates

Build practical AI skills for work

Great for people new to AI

AI Foundations

Learn the basics of AI, large language models, and ChatGPT. You’ll practice giving clear instructions, adding useful context, reviewing outputs, and using AI responsibly in everyday work.

Great for people who have some experience

Applied AI Foundations

Turn a recurring task into a repeatable workflow. You’ll break the work into steps, identify where ChatGPT can help, and build review points into the process.

Great for people comfortable using AI

Agents and Workflows

Practice directing agents through structured work. You’ll provide context, define outputs, set boundaries, review drafts, improve the workflow, and reuse what works.

Build practical AI skills for work

OpenAI Academy courses help people build practical AI skills through hands-on learning. Together, the courses create a connected learning pathway designed to help people understand AI, apply it to real work, and turn successful approaches into repeatable ways of working.

Built by OpenAI, the courses bring together product guidance, research, safety expertise, and workplace practice to help learners build the skills and habits needed to work effectively with AI.

Why take these courses?

People build AI fluency by practicing on work that matters to them.

Developed with the teams building OpenAI's models and products, each course is built around real workplace tasks and hands-on activities. You'll practice giving clear instructions, adding relevant context, reviewing outputs, deciding what to delegate, and staying in control of the work.

As you progress through the pathway, you'll move from understanding how AI works, to applying it to recurring work, to directing more structured workflows with agents.

Guide for deploying OpenAI Academy courses across your organization

Learn how to make courses broadly available, engage executive sponsors, and launch with coordinated organization-wide communications. The guide also includes practical steps for reinforcing participation, measuring available signals, and sharing outcomes.