daBongo LMS AI Training Courses

Course Learning Outcomes

By the end of this course, students should be able to:

• Describe what a large language model is in practical, non-technical terms
• Explain why Claude sometimes produces confident but incorrect answers
• Identify the difference between Claude's reasoning and factual recall
• Describe Claude's knowledge cutoff and what it means for real-world use
• Set up a working mental model that shapes safer, more effective prompting habits

Course Notes for Instructor Review

This course assumes no prior AI experience. It avoids deep technical jargon but does not oversimplify. The hallucination section is intentionally direct – students who do not understand this risk will misuse the tool and blame themselves or the platform. The knowledge cutoff discussion should be reviewed periodically to ensure the stated date remains accurate. Do not inflate Claude's capabilities in any lesson content.

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