OpenAI has announced three new courses for its organization-focused learning program, OpenAI Academy: AI Foundations, Applied AI Foundations, and Agents and Workflows[1]. Together they form a single path that takes learners from understanding AI, to applying it to recurring work, to directing more structured workflows with agents[1].

Learning as Part of Deployment

OpenAI describes the effort as treating learning as part of deployment. By building models and products and working closely with the organizations that apply them, the company turns those insights into practical learning that helps shorten the distance between deployment and value[1].

The courses share a simple idea: people learn how to use AI best by practicing on work that matters to them[1]. To support this, OpenAI is working with partners including BCG, Accenture, and BBVA to help organizations build practical AI skills and apply them in their day-to-day work[1].

A Three-Stage Path: Understand, Apply, Direct Agents

The three new courses build on one another according to a learner's level[1].

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 come away with the foundations to apply those habits and improve routine tasks such as drafting, summarizing, planning, and meeting preparation[1].

Applied AI Foundations teaches how to turn effective prompts into structured, repeatable workflows. Learners develop a workflow plan that defines the right inputs, models, tools, checkpoints, and human review, while balancing quality, speed, and cost[1].

Agents and Workflows focuses on directing agent-assisted work by providing context, defining outputs and boundaries, and reviewing results. Learners leave able to run and refine a reusable workflow while identifying where human judgment and oversight are required[1].

Across the three courses, learners progress from improving a single everyday task, to building a repeatable workflow plan, to running an agent-assisted workflow they can apply to future work[1].

Certificates and Enterprise Use

Learners who complete a course receive a certificate of completion they can share with their teams and networks[1]. For companies, this offers a simple way to recognize participation, celebrate early adopters, and connect learning to work already underway[1].

The curriculum is shaped by teams across AI research, product, safety, and deployment, and is meant to evolve alongside new models and products[1]. Organizations can use the courses for employee onboarding, enterprise learning programs, or broader AI adoption initiatives[1].

Partners have welcomed the launch. Elena Alfaro, Head of Global AI Adoption at BBVA, said the company welcomes initiatives such as OpenAI Academy that help professionals build practical AI skills and better understand how to apply these technologies in their everyday work[1]. Dr. Lan Guan, Chief AI and Data Officer at Accenture, noted that scaling AI adoption is not just about giving people access to technology but requires the learning systems, confidence, and new ways of working that help people apply AI every day, calling OpenAI Academy an important part of building those practical skills and habits[1].

OpenAI positions these courses as the beginning of a broader OpenAI Academy learning roadmap, and says it will continue updating them as its products evolve, expand reporting capabilities for organizations, and introduce new learning paths for additional roles and use cases[1].

Summary

OpenAI Academy's new courses emphasize bridging the gap between simply trying AI and turning it into an established way of working. The understand–apply–direct-agents progression is practical because it starts from familiar tasks such as drafting and meeting preparation. Together with completion certificates and partnerships with major firms, the launch reflects an intent to connect individual skill-building to organization-wide productivity.

Source: https://openai.com/index/academy-courses-applying-ai-at-work