OpenAI Prompt Engineering for Improved Performance
This course teaches you how to use proven prompt engineering techniques to obtain better results from ChatGPT to maximize application performance.
What you'll learn
The concept of “prompt engineering” simply refers to improving your ChatGPT input to obtain a more focused and desired output. In this course, OpenAI Prompt Engineering for Improved Performance, you’ll learn how to leverage industry-proven prompt engineering techniques to master prompting the OpenAI APIs with maximum performance. First, you'll learn the basics of GPT and prompt engineering. Next, you’ll practice using your new prompt engineering techniques to generate text, source code, data, and images without sacrificing efficiency. When you’re finished with this course, you’ll have the skills and knowledge of GPT prompt engineering needed to streamline your applications and improve your effectiveness as a working software developer.
Table of contents
- Overview 2m
- Prompt Engineering Advanced Techniques 6m
- Few-shot Prompting Methods 5m
- System Messages 5m
- Optimize GPT Query Response Times 3m
- Demo: Tour the OpenAI API Docs and Libraries 3m
- Demo: Explore Tokenization and System Messages 6m
- Demo: Generate Python Source Code 6m
- Demo: Analyze Python Source Code 4m
- Summary 1m
About the author
Timothy Warner is a Microsoft Most Valuable Professional (MVP) in Cloud and Datacenter Management who is based in Nashville, TN. His professional specialties include Microsoft Azure, cross-platform PowerShell, and all things Windows Server-related. You can reach Tim via Twitter (@TechTrainerTim), LinkedIn or his blog, AzureDepot.com.