DeepLearning.AIBeginnerFeatured
ChatGPT Prompt Engineering for Developers
A short, hands-on course on writing effective prompts for LLMs, taught by Isa Fulford and Andrew Ng.
Duration2 hours
PriceFree
FormatInteractive
LevelBeginner
What you'll learn
- Six core prompting principles that work across models
- Iterative prompt refinement with concrete examples
- Summarization, inference, and transformation patterns
- When to use chain-of-thought vs direct prompting
About this course
Two hours of clear, hands-on technique for getting useful output from large language models. Not a hype course. You'll work through real prompting patterns (chain-of-thought, role assignment, output formatting) inside a Jupyter notebook with the OpenAI API. The best free two hours you can spend on prompting.
Prerequisites
Basic Python (you'll be running notebook code).