This course translates roleplay simulations into complete, publishable learning experiences. As an L&D or instructional design practitioner, your job is not only to create practice activities; it is to design a learner journey that aligns objectives, sequencing, reinforcement, and assessment—then deliver it through an LMS ecosystem with credible reporting. You will learn how to structure AI roleplay–powered courses using clear objectives, prerequisite logic, mastery thresholds, and cohorts, so learners know what “good” looks like and managers can trust the outcomes.You will design course flows that balance reference knowledge (playbooks, talk tracks, exemplars) with high-frequency practice, ensuring learners build fluency rather than consume content. You will also learn how to set up open versus assigned course models, define completion and attempt policies, and build reinforcement mechanisms so performance gains persist beyond the initial training event.Finally, you will cover LMS integration with a focus on SCORM export and interoperability. Many organizations deliver training through systems like Workday, Docebo, Moodle, or enterprise portals; your roleplay program must integrate cleanly into those environments. You will learn a practical integration checklist—metadata, module mapping, completion signals, and reporting—so your AI practice experience can be deployed across the learning tech stack without friction. By the end, you will produce a Coursera-style course outline and an LMS-ready publishing plan.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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