- Course
- AI
Perplexity in Practice
Unlock the power of Perplexity’s search, research, and labs modes through hands-on examples. Learn to use AI responsibly while producing high-quality research, insights, and outputs with ease.
What you'll learn
In today’s fast-moving world of information overload, analysts need AI tools that streamline knowledge work. In this course, Perplexity in Practice, you’ll learn to master Perplexity’s powerful modes to automate research, summarize information, and generate useful outputs. First, you’ll explore how to use Perplexity search for factual queries, summaries, and trusted citations. Next, you’ll dive into research mode for deeper insights, academic-style synthesis, and advanced prompting. Finally, you’ll work with Perplexity labs to tackle real-world projects like prototyping or code generation—all while learning how to use LLMs ethically and responsibly. By the end of the course, you’ll be able to confidently use Perplexity to improve productivity, automate research, and generate meaningful insights while avoiding common pitfalls of AI tools.
Table of contents
About the author
Ashraf is an expert in embedded systems, AI, and digital education. With years of experience, he creates engaging courses that simplify complex topics for learners worldwide.