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Content Design AI Accelerator

Build a working AI tool that solves a real problem in your content work. Over 6 weekly workshops, you’ll create a prototype, test it systematically, and document everything you need to bring it to life. Made for content designers.

  • Learn and build with peers
  • Learn AI tools to assist your work
  • Valuable feedback from an expert instructor

Recordings

All sessions

Live

Meet your peers

Certificate

On completion

Patrick Stafford

Patrick Stafford

UXCC, MYOB

Patrick Stafford is the CEO and Cofounder of the UX Content Collective. He hosts the Writers of Silicon Valley podcast, and was previously the Lead Digital Copywriter at MYOB.

Next cohort

June 2-July 7

6 weekly sessions

View syllabus and times

Content Design AI Accelerator

US $1600

Apply now

Applications close May 22

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“I walked in with an idea and walked out having built something I’m proud of. The skills, insights, room to experiment, and fantastic peers helped bring my idea to life. I couldn’t have done without this class.”

Robert Ballard

Robert Ballard

Senior Content Designer, PayPal

“By the end of six weeks, I had built something I could bring back to my workplace and I walked away more confident in my work and my future as a content designer in an AI-driven world.”

Casey Webb

Casey Webb

Senior Content Designer, Snap Finance

Who is this cohort for?

Content designers

You have a specific AI problem at work and want to solve it properly, not just experiment with prompts.

AI-curious

You're a content designer and need to demonstrate what's possible with working prototypes.

Frustrated builders

You're ready to move beyond working on single prompts and start working on a tool that scales your impact.

Anyone else

You want to prove AI concepts work before asking for resources, with clear documentation and requirements.

What will you walk away with?

Our courses are created by experts, informed by hiring managers, and reflect industry best practice.

5,000+

Students trained

200+

Teams trained

100+

Countries

01

An understanding of how to build, document, and test AI tools for content design

02

Evaluation framework with test cases and success criteria for measuring quality

03

Portfolio-ready project demonstrating scoping, building, evaluation, and documentation skills​

04

Guidance on using AI as part of your workflow, not a replacement for it

Everything you need to master build AI skills

A complete system for learning, practicing, and proving your skills.

6 weekly sessions

Live sessions with expert instruction and guidance.

Expert feedback

Learn by doing, and get answers to your questions.

Certification

Earn a certificate when you pass your final project.

Support

Need help? Support and 1:1s between sessions.

Recorded sessions

Don’t miss a thing. All cohort sessions are recorded.

Student community

Connect with peers learning alongside you.

Weekly help

The last hour of each session is designed to help with you hands-on work.

The full schedule

A comprehensive education in AI skills for content designers

Week 1: Foundation

Your local time Change time zone

Before you build anything, you need to know what you’re actually building and why. This week you’ll define your project using a structured brief. You’ll leave with a clear problem statement, a scoped v1, and an honest picture of the constraints you’re working within.

Week 2: First build

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You’ll build something that works. Not something finished, just something running. You’ll build a working prototype from your brief, learn how to structure your project for maintainability, and set up your environment securely. 

Week 3: Share early, learn faster

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You’ll show the room what you’ve built so far even if it’s incomplete. Seeing others’ work at the halfway point surfaces problems earlier, reduces isolation, and accelerates the second half. We’ll also cover the techniques that matter once you’ve got something working:, using a second model to audit your code, managing context across sessions, and more.

Week 4: Evaluation frameworks

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This week you’ll build an evaluation framework for your specific project: defining criteria, building a test corpus, and learning when to use human review versus automated evaluation. You’ll leave knowing whether your tool is actually doing what you built it to do.

Week 5: Out of isolation

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Most tools get stuck at “works on my machine.” This week you’ll work through what it actually takes to move your project into a real environment, whether that’s your organization, a different model, or a different team. We’ll cover the three layers every tool has to navigate: what transfers, what needs adapting, and what requires a conversation rather than more code.

Week 6: Show and tell

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You’ll demo your finished (or in-progress) project to the cohort. We’ll run a group debrief to surface what everyone learne, including the things that only become clear after you’ve actually built something. You’ll leave with a curated set of resources, a set of principles distilled from the cohort’s experience, and a concrete next step.

Student stories

Our graduates are everywhere

Frequently asked questions

Do I need to have completed other AI workshops?

No. Obviously, if you’ve completed the workshops you come with useful knowledge but obviously that’s not possible for everyone. If you haven’t attended UXCC workshops we’ll prepare pre-reading material for you to ensure you’re as up to speed as you can be.

In other words: if you haven’t attended the other workshops, don’t let that stop you.

Week 1 helps you scope a realistic project, but you should come in with a general problem area you want to solve (content audits, style guide consistency, documentation generation, etc). As long as you have a problem, that’s the main thing. We’ll help with the rest.

This is exactly why the program is structured in two phases. Weeks 1-3 focus on proving your AI logic works in a prototype environment.

Even if your employer has stringent restrictions on AI, there’s still value in being able to build and demonstrate possibilities. And at the very least, you’ll have learned valuable AI skills and built something real for your portfolio.

Many participants get employer sponsorship since you’ll be building a tool that solves a real work problem. We can provide a detailed curriculum outline and expected deliverables to support your request.

This isn’t an AI engineering course. You’ll learn practical skills for scoping a tool, system messages, complex prompts, context engineering, evaluation, and documentation within content design constraints. If you’re looking for model training, fine-tuning, or advanced machine learning concepts, this program won’t cover that.

Have questions? We’re here to help.

We can combine self-paced courses, workshops, or create custom sessions for your team based on unique needs. Get in touch – we’d love to speak with you.

Dhanushka

Customer Success Manager

Craft · Strategy · Systems

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