Exploring Generative AI for Learning Design

Michigan introduces generative AI as a possible partner in learning design. Fundamental concepts lead into identifying opportunities and planning future applications. It suits designers who already know learning-design frameworks and want to decide where an AI-assisted process may help, before committing to a tool or assuming that generated material is instructionally sound.

What you will learn

• Explore generative AI within learning design.
• Identify suitable design tasks for experimentation.
• Plan a limited and evaluable application.

Who this suits

Learners familiar with learning-design frameworks, as specified by the provider, who want an introduction to generative AI in that context.

Before you enroll

Begin with an actual learning need and check that the activity and assessment address it. Technology access, learner accessibility and feedback arrangements matter alongside the lesson plan. Use fictional or anonymized learner information for practice, and evaluate a design with learners before treating it as effective.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Choose one fictional design task and compare a manual draft with an AI-assisted draft. State the criteria for usefulness before reviewing either result.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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