In this hands-on workshop, participants will explore the fundamentals of generative AI and prompt engineering.We begin by defining core concepts—Generative AI (GenAI), Large Language Models (LLMs), system vs. user prompts, context engineering, and model selection.

Next, we will dissect the four essential components of an effective prompt—persona, task, context, and format and review best practices, along with model recommendations for various applications. Through guided exercises and real-time feedback, participants will apply these principles in practice.

The course culminates with a live demonstration on Perplexity.ai, where iterative refinement and clarity are emphasized as attendees engage directly with LLMs. Practical examples throughout the session reinforce learning outcomes and empower participants to craft precise, high-impact prompts.

In this practice-driven workshop, participants will immediately apply generative AI and prompt engineering principles through guided exercises, real-time feedback, and live demonstrations.