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Course Overview
This half day, hands on session gets learners straight into solving a real work problem using Perplexity, a conversational research assistant that blends search and generative AI. After a short refresher on prompting basics, small teams pick a task that has been slowing them down, build and test prompts against it, and walk out with a working solution.
Who Should Attend
- Professionals who have some familiarity with Perplexity, whether from prior use or a prior AI fundamentals course
- Anyone who wants dedicated, hands on time to apply Perplexity to a real problem
Course Objectives
- Recall core prompt types used in Perplexity, including instructional, role based, contextual, and research focused prompts
- Write and test prompts for research, summarization, and ideation in Perplexity
- Refine prompts to get more accurate, well sourced answers
- Work with a team to design and present a Perplexity supported solution
- Reflect on basic ethical considerations, such as accuracy, bias, and transparency
Course Outline
Welcome & Quick Prompting Recap
- What a prompt is and how it shapes Perplexity's output
- Quick refresher on prompt types: instructional, role based, contextual, research focused
- Quick look at Focus Mode, Pro Search, and Copilot mode in Perplexity
Kickoff & Prompt-a-Thon Instructions
- Review the Prompt-a-Thon flow and what teams will deliver
- Team roles and expectations
- How to test and iterate prompts in a focused way
Team Brainstorming
- Identify a few tasks or workflows that take time or create friction
- Pick one problem to solve using Perplexity
Prompt Design & Testing
- Build a first draft prompt
- Test the prompt in Perplexity and review the output
- Try new versions and capture the strongest examples
Team Review & Selection
- Share the best prompt versions within the group
- Agree on the example that tells the clearest story
Team Presentations & Wrap-Up
- Present the problem, the prompt approach, and the result
- Peer and instructor feedback
- Key takeaways and next steps