Prompt engineering is a skill that may assist you to take advantage of tools like ChatGPT and also can provide good job opportunities nowadays.
Unfortunately, there aren’t so many prompt engineering courses on the market, but OpenAI and Andrew Ng just released a ChatGPT Prompt Engineering course for developers that describes how large language models (LLM) work, provides best practices for prompt engineering, and shows how LLM APIs might be utilized in apps for quite a lot of tasks.
The course is beginner-friendly, and for my part, it’s useful for any ChatGPT user even should you don’t have much coding experience. Anyway, at the top of the article, I’ll also leave other free prompt engineering courses for non-developers.
Here’s every little thing it’s worthwhile to find out about this course developed by Andrew Ng in partnership with OpenAI.
What this course covers?
On this ChatGPT prompt engineering course, you’ll learn key principles that anyone working with ChatGPT should know akin to how one can write effective prompts, how one can engineer good prompts, and construct a custom chatbot.
You’ll also learn the perfect practices for prompt engineering and the way LLM APIs might be utilized in the tasks below:
- Summarizing: Summarizing user reviews for brevity
- Inferring: Sentiment classification, topic extraction
- Transforming text: Translation, spelling & grammar correction
- Expanding; Robotically writing emails
These concepts will assist you to learn how one can use LLMs to quickly construct recent and powerful apps.
The prompt engineering practices taught on this course might be followed by anyone, but to get hands-on experience, it’s worthwhile to play with the examples provided within the course, that are in Jupyter Notebook. But don’t worry, the course provides a workspace where you may run Python code in Jupyter Notebook without installing anything.
Speaking of Python, below are the prerequisites for this course.
Who is that this course for?
This course is for any ChatGPT user who desires to learn prompt engineering and effectively utilize LLMs.
This can be a beginner-friendly course designed for developers, so a basic understanding of Python is required for this course. That said, the perfect practices for prompt engineering taught on this course are useful even for those without coding experience.
The course provides loads of examples in Jupyter Notebook to get hands-on experience with prompt engineering, but should you never worked with Jupyter Notebook, you may still follow the course through the video lectures.
The best way to join the course
The course was developed by Andrew Ng in partnership with OpenAI, and it’s hosted on the DeepLearning.AI website. Click here to take the course totally free.
Take note that the throughout the DeepLearning.AI learning platform beta (hopefully it’s still free once you read this text)
By the best way, the instructors of the course are Isa Fulford and Andrew Ng. Isa is a member of the technical staff at OpenAI, while Andrew is the co-founder of Coursera and DeepLearning.AI.
Prompt Engineering courses for non-developers
In case you’re not a developer, there are some free prompt engineering courses you may take before taking this course by OpenAI.
Click here to see 4 free Prompt Engineering courses. Those courses might be followed even by those with zero coding experience.
That’s it! Whether you’re a developer or not, I feel prompt engineering will assist you to turn into a greater ChatGPT user, so start learning today!
