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Agents and Workflows (OpenAI Academy)

by OpenAI · OpenAI

75-90 minutesUpdated 2026-06

Our Verdict

Worth taking

Agents and Workflows is the most advanced tier of OpenAI's free three-course track on OpenAI Academy (academy.openai.com), and it tackles the skill that matters most as AI shifts from chat to action: directing agent-assisted work without losing control. In roughly 75-90 minutes it has you provide context, define outputs and boundaries, review drafts, and run and refine a reusable workflow - while explicitly identifying where human judgment and oversight are still required. Built by OpenAI (with enterprise partners such as BCG and Accenture), it reflects how the company expects agentic ChatGPT capabilities to be supervised and operationalized, and the final assessment earns a free completion certificate. Importantly, this is a conceptual and practice-driven course about orchestrating and overseeing agents through ChatGPT, not a developer course on building agents with the OpenAI API or the Agents SDK - so set expectations accordingly.

A timely, free, first-party course on a genuinely hard and current topic - supervising agent-assisted work responsibly - and worth taking for non-technical users who are already comfortable with structured AI workflows. It earns a 'take' for that audience because few free resources teach agent oversight from the vendor's own perspective with a certificate attached. The qualifier: it is about directing and reviewing agents through ChatGPT, not engineering them in code, so developers seeking the API/SDK should look elsewhere.

Best for: Experienced ChatGPT users, team leads, operations and program managers, and AI champions who are comfortable with structured workflows and now want to direct agent-assisted work - setting context and boundaries, reviewing outputs, and building in human oversight. Ideal as the capstone after AI Foundations and Applied AI Foundations for someone preparing their team to use agentic AI responsibly.

Skip if: Beginners and anyone who has not done the earlier two courses (this assumes workflow fluency), and developers who want to build agents in code with the OpenAI API, function/tool calling, or an Agents SDK - this course is oversight and orchestration through ChatGPT, not programming. Also not ideal for those seeking a formal, accredited credential, since the completion certificate signals training progress, or for teams expecting it to replace their own governance, security, and legal review of agentic systems.

About This Course

OpenAI's free advanced course on OpenAI Academy that teaches you to direct agent-assisted work - providing context, defining outputs and boundaries, reviewing drafts, and refining a reusable workflow while keeping human oversight. Completing the final assessment earns a free course-completion certificate.

What You'll Learn

How to direct agent-assisted work by providing clear context and goals
How to define expected outputs and set explicit boundaries for what an agent should and should not do
How to review agent drafts and results critically before relying on them
How to run, refine, and reuse an agentic workflow so it improves over time
How to identify where human judgment and oversight are essential in an agent-driven process
How to balance autonomy and control so agent assistance stays reliable and safe

Curriculum

Directing agent-assisted work

Introduces how to set context, goals, and expectations so an agent works toward the right outcome.

Defining outputs and boundaries

Teaches how to specify desired outputs and constrain agent behavior with explicit boundaries and guardrails.

Reviewing drafts and results

Builds the habit of critically reviewing agent-produced drafts and deciding what needs human correction.

Refining and reusing the workflow

Covers running, improving, and reusing an agentic workflow, and pinpointing where human oversight remains required.

Final assessment

A short final assessment that unlocks a free course-completion certificate on completion.

Prerequisites

  • Comfort designing structured, repeatable AI workflows (the level taught in OpenAI Academy's Applied AI Foundations)
  • A free ChatGPT account; no paid subscription or workspace membership required
  • A realistic task or process in mind that you want an agent to help carry out under your supervision

Instructor

OpenAI

Instructor · OpenAI

Pros & Cons

Pros

  • Free and authored by OpenAI, addressing a current, in-demand skill - supervising agent-assisted work - from the vendor's own perspective
  • Practical emphasis on human oversight, boundaries, and review, which is exactly where agentic AI most often goes wrong
  • Short and hands-on (about 75-90 minutes) with a reusable workflow you build and refine
  • Earns a free course-completion certificate after a final assessment
  • Caps a coherent free learning path (Foundations -> Applied -> Agents) so progression feels structured rather than scattered

Cons

  • Oversight and orchestration focus only - not a developer course on building agents with the OpenAI API, tool calling, or an Agents SDK
  • Assumes solid workflow fluency; jumping in without the earlier two courses will leave gaps
  • The certificate signals training progress, not a formal or accredited OpenAI credential
  • Agentic patterns taught here still need to be validated against an organization's own governance, security, and legal policies before production use

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