daBongo LMS AI Training Courses

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Course

Understanding How Perplexity AI Works

Course focus: Perplexity

Course overview

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.

Course Details

Duration
90 minutes
Training Level
Beginner
Updated
October 2026
Prerequisites

Basic familiarity with Perplexity and completion of earlier courses in this path when available.

Tools / Plan Requirements

Perplexity account; provider features relevant to research-grade search, source triangulation, Spaces/Projects, comparison tables, citation review, and decision briefs; workspace files or project materials; review checklist; current provider documentation.

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