Take a real problem from your work and turn it into a working tool. Over four weeks, you’ll learn to plan, build, and test your project, with live instruction and personal help along the way. Leave with skills you can use again, and again, and again.
All sessions
Meet your peers
On completion

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
US $1200
Includes UXCC Membership (worth US $200)
Enrolling teams? Need an invoice or PO? Get in touch.
“If you want to build AI apps for content design this course is a great place to start! I’m now using the app I built and am confident I can expand and improve it.”

Senior Product Content Designer, PaperCut Software
“This course gave me a huge boost. I now feel more confident in thinking about how to use AI and what the process looks like and how it works.”

Director Digital Strategy, Kelley School of Business
“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.”

Senior Content Designer, PayPal
“By the end of the program, 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.”

Senior Content Designer, Snap Finance
01
Build a project that matters to you
Start with your own idea, define the smallest useful version, and get it running.
02
Understand what’s happening under the hood. Get comfortable with project files, AI coding tools, GitHub, and the process behind a working app.
03
Get help when you hit a wall
Build live, ask questions, and use weekly one-on-one time to work through your own blockers.
04
Learn to test, not just demonstrate
Check for errors, build a small evaluation set, and see where your tool gets things wrong.
A complete system for learning, practicing, and proving your skills.
Four weekly sessions combining instruction with time to build your project
Finish with a project, its documentation, and a framework for testing it
Get individual support to solve problems and move your project forward
Follow written instructions, revisit demonstrations, and work at your own pace
A comprehensive education in AI skills for content designers
Get comfortable actually using AI to build instead of just edit or create content.
Learn to organize your brief, AI instructions, and reference documents; review the AI’s plan; make changes deliberately; and get a rough first version running.
Take on a second, short build sprint with the cohort. Then learn from what you made: use another model to audit code, choose models for different jobs, keep files manageable, and manage context across build sessions.
Define what correct output looks like. Create examples your tool should catch, and examples it should not flag. Run the tests, track misses and false alarms, and create evaluation sets.
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.
No! Not at all. The program is built for people who are new to building with AI.
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.
That’s fine, the program is built to teach skills across multiple tools.
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.

Customer Success Manager
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