OpenAI Academy Now Has Three Structured Courses to Take Your Team from AI Basics to Agent Workflows
OpenAI has launched three workplace learning courses on OpenAI Academy, creating a connected pathway from AI fundamentals through to directing agent-assisted workflows.
OpenAI has added three structured, certificate-bearing courses to OpenAI Academy: AI Foundations, Applied AI Foundations, and Agents and Workflows. Together, they form a deliberate learning pathway designed for enterprise teams, taking people from first principles all the way through to running and refining agent-assisted workflows.
This matters because most workplace AI adoption stalls somewhere between “people have access to the tool” and “people use it consistently and well.” These courses are OpenAI’s attempt to close that gap systematically.
What the three courses actually cover
The courses are sequential, and that sequencing is intentional.
AI Foundations is the starting point. It covers how to prompt effectively, how to give AI the right context, how to review outputs critically, and how to use AI responsibly. The practical focus is on everyday tasks: drafting, summarising, planning, meeting prep. This is the course for someone who has opened ChatGPT a handful of times but hasn’t yet developed a consistent approach.
Applied AI Foundations moves from individual tasks to repeatable processes. Learners work through how to turn a prompt that works once into a structured workflow that works reliably. That involves breaking work into steps, identifying where AI can help at each stage, building in review points, and thinking about the right balance of quality, speed, and cost. The output is a workflow plan, not just a better prompt.
Agents and Workflows is where things get more sophisticated. It teaches people how to direct agent-assisted work: providing context upfront, defining the outputs and boundaries you expect, reviewing drafts, improving the workflow over time, and knowing where human judgment needs to stay in the loop. Learners finish having practiced running and refining a reusable workflow they can apply to future work.
Each course ends with a certificate of completion that learners can share with their teams and networks.
Why the connected pathway matters
A lot of AI training exists in fragments. A one-hour workshop here, a YouTube tutorial there, a vendor webinar that assumes too much or too little. The result is that even in organisations where plenty of people have done some AI learning, there’s no common foundation to build on.
These three courses are designed to create that common foundation. The curriculum was built by the teams at OpenAI working across research, product, safety, and deployment, and it’s intended to evolve alongside OpenAI’s own models and products. That means organisations can reference it as a durable, consistent standard rather than something that goes stale.
The progression is also practical in a way that matters for teams. Someone who has completed AI Foundations and Applied AI Foundations can have a genuinely useful conversation with a colleague who has done the same. They share vocabulary, mental models, and a common understanding of where human review belongs in the process. That’s harder to achieve with ad hoc learning.
What this means for your organisation
If you’re responsible for AI adoption, L&D, or team capability, here’s the direct implication: OpenAI has done a significant amount of the curriculum design work for you.
The courses fit naturally into employee onboarding, broader AI adoption programmes, or as a structured foundation for teams that have been using AI informally and want to formalise their approach. A deployment guide is available to help organisations make the courses broadly available, engage executive sponsors, and coordinate rollout communications.
Organisations already running pilots with these courses include Walmart, Lowe’s, Deloitte, BCG, Accenture, and the State of Delaware. Accenture’s Chief AI and Data Officer, Dr. Lan Guan, put it plainly: “Scaling AI adoption is not just about giving people access to technology. It requires the learning systems, confidence, and new ways of working that help people apply AI every day.”
That framing is useful. Access to tools and knowing how to use tools in context are different problems. These courses are aimed squarely at the second one.
Partners including BCG, Accenture, and BBVA are already working with OpenAI to build practical AI skills across their workforces. BBVA’s Head of Global AI Adoption, Elena Alfaro, noted that the Academy “helps professionals build practical AI skills and better understand how to apply these technologies in their everyday work.” The involvement of Coursera, ETS, and Credly by Pearson also means the learning design and certification standards have been subject to external scrutiny, which gives the certificates more credibility as portable evidence of skill development.
The broader picture
These courses represent the next phase of OpenAI Academy, which launched in March 2025 as a free educational platform. The Academy’s ambition is to certify 10 million Americans by 2030, and the structured course pathway is clearly a vehicle for getting there at scale.
More practically for organisations: OpenAI has said the curriculum will continue to evolve as models and products develop. That’s a reasonable commitment given how quickly the underlying technology changes, and it means the learning pathway should remain relevant rather than reflecting last year’s capabilities.
Plans are in place for expanded reporting features, new learning paths tailored to specific roles and use cases, and ongoing updates to the course content. For teams looking to build something durable rather than just tick a training box, that matters.
The courses are free and available now at academy.openai.com.