OpenAI’s tools and models are super easy to use, and give impressive results even with the most basic of prompting. But by applying more advanced techniques, you can elevate the quality of your prompts and responses. In this course, OpenAI: Prompt Engineering Best Practices, you’ll learn how to apply best practices to your prompts for OpenAI’s GPT models. First, you’ll explore the art and science of writing clear, concise instructions. Next, you’ll discover the benefits of using reference text with your prompts. Finally, you’ll learn to split complex tasks into smaller parts, and how to look into the “thought processes” of GPT models. When you’re finished with this course, you’ll have the skills and knowledge of prompting best practices to be more productive and effective using OpenAI’s tools and models.
Author Name: Amber Israelsen
Author Description:
Amber has been a software developer and technical trainer for over two decades, sharing her expertise in AI, machine learning, AWS, and Power Apps with students around the world. She has a knack for making complex tech topics easy to grasp, whether you’re a developer, designer, or business professional. Amber holds certifications in machine learning, AWS, and various Microsoft technologies, including her experience as a former Microsoft Certified Trainer. With a strong background in visual com… more

Table of Contents

• Course Overview
  1min
• Crafting Clear Prompts for Generative AI Models
  20mins
• Using Reference Text in Prompts
  6mins
• Breaking Tasks Into Smaller Parts
  17mins
• Giving GPT Models Time to Think
  9mins