AI is rapidly changing the way we design, deliver, and support learning—and L&D professionals are figuring out what’s actually useful versus what’s simply hype.
Join us for a practical teach-back featuring our member who recently completed ATD’s Applying AI in Learning & Development Certificate course. She'll share her top takeaways, key insights, and—most importantly—how she's applying AI to her work.
You've got a course idea worth building. What you're short on is time. Come with a course you want to build, and let's find out if AI gives you back time, or just hands you a different mess to clean up.
In this session, Stacey Hietikko builds a real, working interactive course prototype, an actual Rise-style HTML eLearning course with navigation and content, using a structured prompting method called TRACI.
No slide decks full of best practices, no theory for theory's sake. Just the real prompts, the real output, and however much coffee survives the demo.
If AI still feels like it costs you more editing time than it saves, come see what happens when you structure the ask.
What you'll walk away with:
- The TRACI prompt framework (Task, Role, Audience, Create, Intent), ready to use on your next real project, not a hypothetical one
- A complete worked example: prompt to finished prototype, nothing skipped, nothing glossed over
- A chance to try it out yourself, with support
- The one prompt detail almost everyone leaves out, and why it does more work than the rest of the prompt combined
Bring your coffee. We'll see who finishes first.
Stacey Hietikko is an instructional design and technology leader whose career bridges IT and learning. She has led as a Director of IT and Training and, most recently, as Senior Instructional Designer and Program Manager at Yahoo, where she helped shape global training and content strategy for one of the most recognized names in tech.
Stacey recently earned ATD's Applying AI in Learning & Development certification. What draws her to the shift isn't that AI makes courses faster in some generic sense. It's that it moves the bottleneck: once production time stops eating the whole timeline, the constraint shifts back to judgment, knowing what's worth building, when a course isn't the right solution, and how to tell if it worked. Those are the parts of the job that always mattered most, and the first to get cut when time was short. Stacey is looking forward to a version of instructional design where those parts finally get the time they deserve.
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