OpenAI ChatGPT: Prompt Engineering Best Practices
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 201 MB
Instructor: Amber Israelsen
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 201 MB
Instructor: Amber Israelsen
Struggling to get consistent results from ChatGPT? This course will teach you how to craft effective, reusable prompts and improve output quality using templates, chain-of-thought prompting, and response analysis.
What you'll learn
Getting inconsistent or low-quality results from ChatGPT can be frustrating and time-consuming, especially when you're repeating the same tasks. In this course, OpenAI ChatGPT: Prompt Engineering Best Practices, you’ll learn to craft clear, reusable prompts that consistently deliver high-quality output.
First, you’ll explore how to build flexible prompt templates for repeatable tasks like content creation, code generation, or brainstorming. Next, you’ll discover how to guide the model with scaffolding techniques such as chain-of-thought prompting and few-shot examples. Finally, you’ll learn how to evaluate and refine responses using qualitative metrics and prompt iteration.
When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to work more efficiently and get better results from ChatGPT.