ChatGPT Prompt Engineering for Developers

Core techniques for building with LLMs

This course covers the fundamentals of prompt engineering for ChatGPT, with a focus on using large language models for practical text tasks. It is written for people who want to understand how prompts shape results, not just what to type. Because the focus is on text tasks, the lessons transfer well to any LLM-backed product you build later, whichever provider you end up using.

The four tasks at the center

• Summarizing long text.
• Inferring information from text.
• Transforming text from one form to another.
• Expanding short input into fuller output.

Why it matters for developers

Those four tasks cover much of what an application built on an LLM does, so the course gives developers a vocabulary for designing features. Practice them on your own data to see how the wording of each prompt changes the outcome.