Devlin Peck

FREE PATHWAY

The AI Upskilling Track

AI is moving fast in this field, and most of the advice about it is either hype or fear. This track is my honest read on how working instructional designers can build real AI skills right now, ending with how to make the case for AI-powered practice where you work. It is intentionally short. I will keep adding to it as my new AI guides ship.

Built if you already work in instructional design.

Get oriented

Start with where AI actually fits into instructional design work right now, separate from the hype.

Design practice-based learning

AI simulations are practice-based learning with the production cost stripped out, so the design skills that make scenarios work are the same skills that make AI practice work.

Build AI-powered practice

This rules-based chatbot build is not AI, and that is the point: it shows the branching-logic approach that AI simulation replaces, and building one is the fastest way to feel the difference. True AI build guides join this step as they ship.

Make the case at work

If you want budget or buy-in for new tools, confirm the need first and come to the conversation with data your manager already trusts.

ID Theory & Models

How to Conduct a Needs Assessment

Are you ready to design training for issues that training will actually solve? This article explains how to conduct a needs assessment to get to the root of human performance problems.

Updated

This pathway is a curated path through the library. For the definitive, most complete version of this material, read the full guide: AI in Instructional Design: The Complete 2026 Guide.

Most of my own AI experimentation now happens inside devlin.ai, where I am building AI-powered practice conversations directly into Storyline and Rise courses. For the fuller picture behind this track, my guide on how AI is used in instructional design is the definitive read.