Well Structured Prompts Explained with Examples - Prompt Engineering for GenAI
Sundeep Saradhi Kanthety via YouTube
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Power BI Fundamentals - Create visualizations and dashboards from scratch
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn to create effective prompts for generative AI systems through a structured framework that includes six key components: role/context, task/goal, input data, output format, constraints, and examples. Master the art of prompt engineering by understanding how to clearly define the AI's role, specify precise instructions, provide necessary context, format desired responses, set appropriate limitations, and include helpful examples. Discover the dramatic difference between unstructured prompts like "Explain loops in C" and well-structured alternatives that provide comprehensive context, clear formatting requirements, and specific constraints. Transform your AI interactions from vague requests into precise, actionable instructions that consistently produce high-quality, targeted responses for any domain or use case.
Syllabus
Well Structured Prompts Explained with Examples (No Coding!) | Prompt Engineering | GenAI
Taught by
Sundeep Saradhi Kanthety