Prompt Engineering for AI: Beginner

Twenty-four pages that teach prompting as a repeatable skill, not a list of magic phrases. You practise in the chat assistant you already use, on a free plan, and you never write code.

You start with what a prompt is and how its parts fit together (goal, audience, context, constraints and output format), then learn the core patterns: examples, roles, breaking a task into steps, critique and revision. You apply them to writing, editing, summarising, extracting facts and classifying text. Further pages cover prompting in your own language (Bangla is the worked example, with other languages alongside), learning and research with source checking, spreadsheets and reports, images, documents and audio, and debugging weak outputs and saving good prompts in a personal library.

The last pages are about trustworthy use: stating uncertainty, checking claims and arithmetic, keeping private data out of prompts and handling instructions hidden inside documents. A practice lab and a capstone project, a reusable multilingual work assistant, finish the tutorial. Example replies on the pages are illustrative and labelled as such, because every product and every run is different. Every page is available in English and Bangla.