We're launching Responsible AI at Work, a self-paced, on-demand course that's open for enrollment today. AI is already in your team's daily work through the tools they use to draft, summarize, and analyze. This course gives them a practical standard for using it responsibly, so the speed they gain turns into output you can trust.
Here's the thing most rollouts miss: when AI gets something wrong, the tool doesn't answer for it. The person who used it does. We built this course to give that person the habits to carry that responsibility well.
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What Responsible AI at Work is
Responsible AI at Work treats responsible AI as a working operating system, not a values statement. In about an hour across eight short modules, you learn to verify AI output, classify the sensitivity of the data you enter, keep a record you can trace, and escalate the moment something looks off. You walk away as an accountable AI operator: someone who can move fast with AI and still stand behind everything that carries their name.
What's inside:
- The three routes AI takes into your work (Build, Buy, Use), and where the oversight gaps really sit
- Shadow AI: why unapproved-tool use spreads, and how to respond without a witch hunt
- The responsible-AI operating system: decisions, artifacts, and review cadence
- How generative AI actually behaves, and why those properties demand new habits
- The critical risk vectors: hallucination, IP exposure, bias, the blackbox problem, and accountability diffusion
- How to match your oversight to how much the AI is doing, and when GenAI is the wrong tool entirely
- A capstone with the four escalation lanes, a documentation checklist, and a 30-day habit roadmap
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Who it's for
This course is for the person rolling AI out across a team or organization, who needs one repeatable standard everyone can follow and is tired of policy documents nobody reads. It's also for any professional whose daily work now runs through AI tools, who senses the accountability lands on them but has never been shown the habits that make AI safe. If that's you, this gives you a way to be both fast and responsible.
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How it works
It's self-paced and on-demand. Start whenever you want, move at your speed, and revisit any module anytime. Enrollment is $199 for instant access, with no cohort and no deadlines. You finish with the full Responsible AI toolkit (the escalation lanes reference, the data-sensitivity guide, the documentation checklist, and the six daily habits), plus a completion badge.
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Questions you might have
Is this for me if I'm not in a compliance or legal role? Yes. This is built for managers, change agents, and everyday professionals who use AI, not for lawyers or auditors. The frame is practical habits you run at your desk, not regulation you memorize.
Do I need to be technical? No. There's no coding and no prerequisites. The course teaches operating literacy, so a whole cross-functional team can share one standard for using AI responsibly.
How long does it take? About an hour of content across eight short modules. Because it's self-paced, you can do it in one sitting or spread it out and return to any lesson later.
What does it cost, and what do I get? It's $199 for instant access. Beyond the eight modules, you get the Responsible AI toolkit (the four escalation lanes, the Public/Internal/Confidential/Regulated data-sensitivity guide, the documentation checklist, and the 30-day roadmap of six daily habits), plus a completion badge.
Won't the AI tools keep changing? They will, and that's the point. The course teaches durable habits (verify, classify your data, document, escalate) that hold up no matter which model or tool your team uses next.
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Start today
Give your team one shared way to use AI fast and stand behind the result. Responsible AI at Work is open now.
