Course
Understanding How Perplexity AI Works
Course focus:
Perplexity
Course Learning Outcomes
By the end of this course, students should be able to:
- Explain the search-to-synthesis pipeline that produces Perplexity responses
- Understand what types of sources Perplexity draws from and why source quality varies
- Explain why cited responses still require verification
- Understand the practical differences between free and Pro features
- Check Perplexity output for accuracy, privacy, and rights before you use or share it
After enrolling, students can complete lesson quizzes as they move through the course.
The course final assessment unlocks after all required lessons and lesson quizzes are complete.
Learning Context
Students learn how Perplexity's search-to-AI synthesis pipeline works, what sources it draws from, why citation presence does not equal claim accuracy, and what the free vs. Pro feature comparison means for how they should use each.
How this course works: each lesson explains the skill in plain language, shows a worked example, and ends with a student task you complete in Perplexity and a short quiz. The final assessment checks that you can apply the skill, not just remember it, and your saved prompts and results become reviewable training evidence.
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