01
AI in Instructional Design Today
AI is changing instructional design by moving value from faster content production to better design decisions, which matters for designers asked to improve outcomes under pressure. You can separate design from delivery, map tasks with the AI Opportunity Matrix, and brief AI as a design partner.
02
From Goals to Learning Architecture
This section moves from performance gaps to objectives, content maps, sequencing, and strategy because instructional designers need architecture before AI can draft useful materials. By the end, you can turn a vague goal into a sequenced design that builds capability rather than familiarity.
03
Writing for Learning
Writing for Learning turns accurate AI drafts into explanations, scenarios, analogies, and worked examples that build usable understanding for instructional designers. By the end, you can brief, improve, and gate learner-facing writing so it is specific, realistic, reasoned, and ready for a programme.
04
Storyboarding and Media Selection
Storyboarding and media selection turn a finished design into a build-ready specification and a delivery choice that fits the objective, not habit. You create reviewable storyboards, brief AI effectively, specify interactions, run scoped SME review, and choose or blend media with structured reasoning.
05
Review, Iteration, and Quality Assurance
Review, iteration, and quality assurance protect careful instructional design from vague feedback, scope creep, and untested AI-generated content. You leave able to run two-phase reviews, pilot prototypes with real learners, apply the TRUST gate, and keep revision decisions tied to the objective.
06
Designing for Every Learner and Your 30-Day Plan
Designing for every learner means naming the default, managing load, checking culture and language, protecting sensitive information, and building accessibility before production pressure begins. You leave with a 30-Day AI+You Starter Plan and one specific next action for live work.