AI & Machine Learning
Perplexity Essentials: Prompting and Productivity at Work
Use Perplexity as a research and productivity partner.
3.5 hoursFoundation7 modules
About this course
Use Perplexity as a research and productivity partner. In half a day you will learn how it works, write and refine prompts through guided exercises, check sources and apply it to everyday tasks responsibly.
What you'll learn
- Define Artificial Intelligence in practical terms and describe how tools like Perplexity can support workplace productivity
- Explain, at a high level, how Perplexity works and what it is designed to do
- Navigate the Perplexity interface and use common features with confidence
- Identify strengths, limitations, and responsible use considerations when working with Perplexity
- Write more effective prompts using key components such as task, context, audience, format, and tone
- Apply common prompt types, including instruction prompts, role based prompts, question prompts, contextual prompts, and refinement prompts
- Evaluate and improve AI generated responses through prompt revision
- Use Perplexity in realistic workplace scenarios to save time and improve work quality
Curriculum
7 modules
- What AI is in plain language
- What generative AI is
- What large language models are, at a high level
- Common AI terminology, including prompts, models, tokens, context, and hallucinations
- Common workplace applications of AI
- Strengths and limitations of generative AI tools
- What Perplexity is and how it is commonly used
- High level overview of how Perplexity responds to prompts
- Navigating the Perplexity interface
- Key features and capabilities
- Common use cases for Perplexity at work
- When to use Perplexity, and when human review is still necessary
- What a prompt is and why it matters
- The characteristics of an effective prompt
- The key components of a strong prompt:
- task
- context
- audience
- format
- tone
- Common prompt types:
- instruction prompts
- question prompts
- role based prompts
- contextual prompts
- few shot prompts
- refinement prompts
- Examples of weak prompts compared to effective prompts
- How to improve responses through iteration
- Review examples of vague or incomplete prompts
- Practice rewriting prompts to make them clearer and more effective
- Discuss how better prompt structure improves output quality
- Students will practice creating prompts for realistic workplace scenarios, such as:
- Researching a business topic
- Summarizing findings from multiple sources
- Drafting a professional email
- Creating a simple action plan
- Comparing options or approaches
- Organizing information into a structured format
- Test prompts and review responses
- Identify opportunities to improve clarity, relevance, structure, or tone
- Revise prompts to produce better results
- Reinforce the importance of reviewing AI generated content before use
- Accuracy and fact checking
- Privacy and sensitive information
- Bias and limitations
- Tips for continued success with Perplexity
- Final questions and key takeaways
Who it's for
Professionals who research, summarise and write as part of their work.
Before you start
- No prior AI or coding experience required
- Basic computer and web browser skills recommended
- Familiarity with common workplace tasks such as email, document creation, note taking, or online research is helpful
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