ChatGPT Prompt Engineering for Developers

ChatGPT Prompt Engineering for Developers
Short, hands-on right away with notebooks; you need to know basic Python.
A short DeepLearning.AI and OpenAI course teaching developers to call language model APIs to summarize, classify, transform and expand text.
Overview
A short course taught by Andrew Ng and Isa Fulford (OpenAI), for people who know a bit of Python. Each lesson has a notebook that runs right in the browser.
The content covers prompt-writing principles, how to iterate to improve, and four common groups of tasks: summarizing, inferring (classifying, extracting ideas), transforming (translating, changing tone) and expanding, and finally building a simple chatbot.
Highlights
Ready-to-run notebooks
No installation needed.
Short
About 1.5 hours.
Four practical task groups
Summarizing, classifying, transforming and expanding text.
What it's for
Automatically classify customer feedback
Call the API to label messages by topic.
Bulk summarization
Process many documents with a script instead of pasting them one by one.
How to use it
- 1
Open the course page
Click Open official page to go to the DeepLearning.AI page.
- 2
Register an account
Create a free account to save your learning progress.
- 3
Study lesson by lesson
The duration is about 1.5 hours; it is best to split it into 30–60 minutes a day.
- 4
Apply it to real work right away
After each lesson, try the technique you just learned on a specific task of yours.
FAQ
Is this course free?
Yes, free to access on DeepLearning.AI.
How long does it take?
About 1.5 hours.
Is there a Vietnamese version?
English, with subtitles.
Useful links
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