China Business News’ interview with Gu Yanyan recorded a practitioner’s experience of combining human resources experience with AI courses. The report did not disclose the complete course syllabus and student performance data, so we cannot judge the effectiveness of the course based on this. This article turns to a question that can be done locally: how professional experience can be organized into an examineable sample lesson.
ChinaOPC recommends choosing a task that is small enough in scope first, such as organizing an outline of an internal training using fictional materials. Preparation materials, input conditions, output forms and manual modification processes must be retained so that readers can see clearly what AI is involved in. This example is an instructional design suggestion, not an actual client or student record.
Sample lessons should demonstrate the judgment process, not just the final seemingly complete document. Which expressions do not meet business requirements, which facts lack basis, and why the content needs to be adjusted can all become part of the teaching. The value of professional experience is reflected in concrete judgments and cannot be expressed simply by a list of tools.
Course boundaries also need to be visible: which steps the exercises help with, which tasks still rely on industry knowledge, and how real business materials need to be authorized before use. Demonstrations should use fictitious or licensed materials, and do not use real personal and corporate information directly for public exercises.
Such sample lessons can be a starting point for subsequent evaluation of whether the content is clear, but they cannot prove that you will definitely find customers or increase your income after learning. Existing cases lack system effects and cost verification. This article does not set a sales price, does not promise training effects, and does not mean that course operations have been carried out.