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OpenAI introduces three Academy courses that help people build practical AI skills, create repeatable workflows, and apply agents in everyday work.
AI is giving organizations a new capacity to act. Work that once waited for scarce time or expertise can increasingly move forward with AI. But that promise only becomes real when people know how to apply these tools in the context of their work and turn successful uses into repeatable ways of working.
At OpenAI, we view learning as part of deployment. We build the models and products and work closely with organizations applying them across their businesses. OpenAI Academy turns those insights into practical learning that helps organizations build AI fluency across their workforce and shorten the distance between deployment and value.
Today, we’re introducing three new courses on OpenAI Academy(opens in a new window): AI Foundations, Applied AI Foundations, and Agents and Workflows. Together, they give teams a shared path from understanding AI, to applying it to recurring work, to directing more structured workflows with agents.
OpenAI Academy courses are built around a simple idea: people learn how to use AI best by practicing on work that matters to them. As part of this effort, we are working with partners including BCG, Accenture, and BBVA to help organizations build practical AI skills and apply them in their day-to-day work.
AI Foundations introduces the core concepts and practices for using AI effectively in everyday work, including prompting, giving context, output review, and responsible use. Learners leave with the foundations they need to apply those habits and improve routine tasks such as drafting, summarizing, planning, and meeting preparation.
Applied AI Foundations teaches how to turn effective prompts into structured, repeatable workflows. Learners understand how to develop a workflow plan that defines the right inputs, models, tools, checkpoints, and human review, while balancing quality, speed, and cost.
