A model can only work with what you give it, so most weak answers trace back to a weak prompt. Prompting basics are the habits that make a prompt clear: saying what you want, giving the right background, and setting limits on the answer.
You'll start with top tips for writing prompts and then learn how to add context and constraints so the model knows who the answer is for and what shape it should take. Next you'll try zero-shot prompting, where you ask for a result without showing any examples, and finish with the difference between system prompts and user prompts, the standing instructions and the request of the moment.
Once a plain instruction works well, you can teach a model by showing it what you want in Few-Shot Prompting & Examples, the next module in this course.
Top strategies for writing prompts that deliver strong results, from setting context to role-playing.
How to write clear, effective prompts for better AI responses by adding context and constraints.
A beginner-friendly look at zero-shot prompting, where you ask a model to do a task without giving it any examples first.
A short explainer on how a system prompt works like a job description while the user prompt is the specific task.