Foundations of AI Roleplay–Based Learning

This course equips Learning & Development (L&D) teams and instructional designers with the conceptual foundation to design AI roleplay–based training that moves beyond “content delivery” into measurable, repeatable skill practice. You will learn why roleplay is the most reliable bridge between knowledge and performance, and how modern AI makes practice scalable—without requiring managers or peers to run live sessions. We will translate sales enablement realities into learning design requirements: buyers do most of their research before speaking to a seller; stakeholder complexity and limited meeting time raise the bar for readiness; and organizations need coaching systems that can keep pace with product change and pipeline pressure.You will also unpack what “AI twins” and roleplay agents actually are, how they simulate buyer behavior (tone, objections, decision patterns), and how scenario design influences skill transfer. Finally, you will connect instructional design principles—deliberate practice, microlearning, immediate feedback, and assessment design—to a practical blueprint you can apply in any GTM training program. By the end, you will have a repeatable method to map a real sales competency (e.g., discovery questioning, objection handling) to a roleplay-based learning outcome, and a checklist for producing simulations that are authentic, fair, and measurable.Ideal for teams building new sales academies, refreshing onboarding, or introducing AI-powered practice into existing LMS programs.Throughout the course, you will work from an L&D perspective: you will translate sales competencies into observable behaviors, choose the right practice modality, and define evidence for mastery. Each lesson includes a practical build artifact—persona brief, scorecard, or rollout plan—so you can apply the content directly to your enablement roadmap.

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