Now that you understand the fundamentals of prompt engineering, let's discuss strategies for advancing your skills. Prompt engineering is a journey of continuous learning and refinement.
Thankfully there are lots of excellent resources out there to guide you.
As you get started, focus on:
An applied approach to level up your skills is the Prompt Entrepreneur method based on learning-by-doing.
I’ve written lots of Prompt Playbooks, each focusing on a specific business model or function. By working through these Playbooks, you gain domain knowledge while honing prompts for real applications.
It’s a two fold learning experience - learning the content of building the business model whilst also learning the skills of prompt engineering.
I’m a firm believer in project based learning. This is learning and immediately applying what you learn to a real project.
If you don’t have a project then the learning doesn’t stick. You’ll just be doing exercises for the sake of it and then hoping to remember what you learned later.
By instead embedding learning in an actual project you’ll better remember and internalise the learning. You’ll also, as a nice side effect, build a worthwhile business asset through the project!
Prompt Playbooks contain:
Unlike most books about ChatGPT and AI my books aren’t just a copy/paste dump of prompts.
If you’ve made it through this Prompt Engineering 101 guide you’ll know:
1. These guides are detailed
2.
They are written by a human - me!
Expect more of this level of detail, written by a human for other humans, in my books.
I’ve kept all the books as cheap as Amazon allows me to make sure that they get into the hands of as many people as possible.
You can see the whole collection here: Prompt Playbooks.
Well, I’m excited.
You are learning a hyper-valuable skill at just the right time.
And I’m fortunate enough to be a (small) part of that journey.
I only hope that I’ve been able to serve you properly with this guide and the suggestions for further exploration in the exciting world of prompt engineering.