Certification

Overview:

• A hands-on certification that teaches learners how to use Perplexity AI through a clear, repeatable, step-by-step research and reasoning workflow.
• Focuses on doing—framing questions, refining queries, evaluating sources, iterating on follow-up prompts, and synthesising cited outputs for real-world use.
• Suitable for professionals, educators, analysts, and students who want practical research and decision-support competency rather than theory-heavy discussions about AI.

In this training, learners will follow a structured, step-by-step workflow for using Perplexity AI effectively and responsibly. The process begins with defining a precise research question and success criteria, then crafting well-scoped queries that guide Perplexity’s retrieval and citation process. Learners will practice refining follow-up questions to deepen analysis, compare perspectives, and resolve ambiguities while leveraging source-linked answers to improve reliability. The training places strong emphasis on quality control, teaching learners how to assess source credibility, cross-check claims, identify gaps or bias, and validate critical information before use. Finally, learners are guided on synthesising Perplexity-generated insights into professional, submission-ready deliverables—such as reports, briefs, or learning materials—while applying responsible-use practices, including proper attribution, confidentiality awareness, and sound judgment on when AI-assisted research is appropriate or insufficient.