ClaudeOpenAI News2026/06/12 10:00

New OpenAI Academy courses for the next era of work

要点だけを先に読めるように短く再構成したセクションです。

元記事

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要約

要点だけを先に読めるように短く再構成したセクションです。

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New OpenAI Academy courses for the next era of work の要約

Key Points

  • ポイント1: June 12, 2026 AI Adoption New OpenAI Academy courses for the next era of work Loading… Share From AI fundamentals to repeatable workflows From AI fundamentals to repeatable workflo
  • ポイント2: Work that once waited for scarce time or expertise can increasingly move forward with AI.
  • ポイント3: 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.

Summary

この記事は 2026-06-12 に公開された「New OpenAI Academy courses for the next era of work」の内容を日本語で簡潔にまとめたものです。

Key Points

  • ポイント1: June 12, 2026 AI Adoption New OpenAI Academy courses for the next era of work Loading… Share From AI fundamentals to repeatable workflows From AI fundamentals to repeatable workflo
  • ポイント2: Work that once waited for scarce time or expertise can increasingly move forward with AI.
  • ポイント3: 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.

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原文の流れを保ったまま読める翻訳セクションです。

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New OpenAI Academy courses for the next era of work(原文タイトル)

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公開日: 2026-06-12 翻訳生成に失敗したため、原文をそのまま保存しています。

原文

June 12, 2026 AI Adoption New OpenAI Academy courses for the next era of work Loading… Share From AI fundamentals to repeatable workflows From AI fundamentals to repeatable workflows Practical learning, directly from OpenAI Recognize progress with course completion certificates Bring Academy courses to your organization Table of contents From AI fundamentals to repeatable workflows Practical learning, directly from OpenAI Recognize progress with course completion certificates Bring Academy courses to your organization 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. From AI fundamentals to repeatable workflows 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. Agents and Workflows focuses on how to direct 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. Together, the courses take learners from improving one everyday task, to building a repeatable workflow plan, to practicing an agent-assisted workflow they can apply to future work. “We welcome initiatives such as OpenAI Academy that help professionals build practical AI skills and better understand how to apply these technologies in their everyday work,” notes Elena Alfaro, Head of Global AI Adoption at BBVA. Practical learning, directly from OpenAI OpenAI Academy is shaped by teams across AI research, product, safety, and deployment. The curriculum can evolve alongside our models and products, incorporating new capabilities, updated safety practices, and lessons from how organizations put AI to work. For enterprises, this creates a consistent learning standard grounded in the technology employees use every day. Recognize progress with course completion certificates Learners who complete a course receive a certificate of completion that they can share with their teams and networks. Certificates give companies a simple way to recognize participation, celebrate early adopters, and connect learning to practical work already underway. They can also help champions find peers who are building new workflows and encourage teams to share what is working across the organization. Bring Academ