Build Powerful
Agentic AI Workflows

No. AI Agents for Work is designed specifically for non-technical professionals. You'll design and build a working agentic workflow using AI tools and no-code connectors. No coding is required.

You don't need to be an expert, but you should be comfortable using AI tools. Most students regularly use ChatGPT, Claude, or a similar assistant for everyday tasks like drafting, research, or analysis.

You don't need any experience setting up AI workflows or working with agents. That's what the course teaches.

An AI agent is an AI system that works toward a goal on your behalf. Rather than just responding to a single prompt, it can gather information, make decisions, use tools, and carry out multi-step tasks.

In this course, you'll learn how to design workflows that give agents the context, data, and human checkpoints they need to do useful work reliably.

AI is moving fast, and some specifics, like individual tools, features, and interfaces, will change. That's why this course focuses less on any single tool and more on durable skills: identifying which work can be delegated, designing workflows around a real goal, giving agents the right context, and evaluating whether the output is actually good.

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Those frameworks transfer as the tools evolve, so what you learn should keep paying off long after the course ends.

You'll build at least one useful, multi-step workflow drawn from your own work: something you or your team does regularly, like researching and summarizing information, preparing reports, triaging requests, or moving information between tools.

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For a first workflow, simpler is better. A strong project matters enough to be worth automating but is scoped tightly enough to finish in four weeks. It also needs to connect to systems and data you have access to. We'll work with you early in the course to choose a workflow that's both useful and realistic.

It happens, and we'll help you work through it. Between your peer group, office hours, and the course Slack, you'll have support diagnosing problems and finding a way forward.

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Some constraints are real, though. If a workflow depends on data or systems you aren't authorized to access, or on integrations that aren't practical yet, we'll help you rescope it or choose a different workflow that's both useful and executable. Learning to make that call is part of the course.

This isn't a tool-specific course. We teach frameworks for designing agentic workflows that work across platforms.

That said, you'll build your workflow in a real tool. We expect most students to use Claude (including Claude Cowork), ChatGPT Work, or Microsoft Copilot as their core agent. Depending on your workflow, you'll also connect it to your data and apps, usually through the connectors built into those tools and sometimes through automation platforms like Zapier or Make.

We expect most students will need a paid plan for their core AI tool, such as Claude, ChatGPT, or Microsoft Copilot, and some workflows may require an additional connector or automation tool.

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For most projects, these costs are modest. If your workflow runs at a larger scale, costs may be higher, and we'll help you plan for that when you scope your project.

AI Agents for Work is built and taught by a team. Chadwick Smith, who leads Designlab's internal learning experience team, is developing the curriculum in collaboration with external experts who have deep, hands-on experience building AI workflows.

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Throughout the course, you'll learn from several of these practitioners, including the lecturer who leads the weekly live session and the expert facilitator who guides your peer group.

Plan for roughly 6 hours per week. That includes the 90-minute live lecture, a 60-minute peer group session, and async time working on your project. The exact amount will vary with the scope of your workflow.

On Mondays, we host a 90-minute live lecture. You'll be introduced to the concepts and techniques you need for that stage of your project and see live demonstrations. When you enroll, you'll automatically be registered for these sessions.

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If you can't attend live, you can watch the recording instead. Just plan to watch it and complete the week's async project work before your peer group session. The same goes if you can't start on day one: you have some flexibility, as long as you're caught up before you meet with your peer group.

Peer group sessions are weekly 60-minute meetings with a small group of classmates, facilitated by an expert practitioner with hands-on experience building AI workflows. You'll pressure-test ideas, share progress, and learn from people applying the same principles to different kinds of work.

After you enroll, you'll receive an email to confirm your course details and choose your peer group time. Groups run on multiple weekdays at 12pm ET (9am PT) or 6pm ET (3pm PT). You'll pick one slot and meet at that time each week.

Beyond the weekly live lecture and your peer group sessions, you'll have access to office hours and a course-only Slack community where you can ask questions, get unstuck, and share progress with classmates and the course team.

Yes. Students who successfully complete AI Agents for Work, including the final project, will receive a Certificate of Completion.

Founding cohort students get $300 off, but seats in this first cohort will be tightly capped.

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We also offer a payment plan that lets you pay half up front and half at the end of the course. To learn more, contact our admissions team at workbench@designlab.com.

Absolutely. Many students have their tuition covered by their employer's learning & development budget. If you have questions about the process, email workbench@designlab.com.

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To help you request reimbursement, feel free to copy, paste, and edit the email below:

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Hi {Manager Name},

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I'd like to use my learning & development budget to enroll in AI Agents for Work, a 4-week live course from Workbench, a division of Designlab, which has trained more than 25,000 learners over 13 years.

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The course is designed for non-technical professionals and focuses on applying AI agents to real work. Over four weeks, I'll learn to:

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• Identify work where AI agents can add real leverage

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• Design an agentic workflow around a real goal, with the right context, data, and human checkpoints

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• Build a working version using modern AI tools, no coding required

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• Test and refine it so it actually improves my work

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The course includes weekly live lectures, small peer group sessions led by expert practitioners, and hands-on project work. I'd build my project around a workflow from my own job, so the benefit to our team would be immediate.

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The course costs $1,199 USD. You can see the full details here.

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Thanks,
{Your Name}

We’re happy to work with a team or company. Contact us at advanced.admissions@designlab.com for information on multi-seat discounts, custom trainings, and more.

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AI Agents for Work is backed by the Designlab Happiness Promise. After you've fully participated in the course, if you're not satisfied, you can get your money back. More details on that here.