Insights
Why practical Copilot training takes more than a list of prompts
Lists of 'the best prompts' are easy to find. They are a source of ideas, but anyone who wants to learn to use Copilot in their own job needs more than an example to copy.
Inspiration is not application
A sample prompt is written for a generic situation. Your task has its own context: your documents, your audience, your expectations. That is why practical AI training starts from recognisable professional use cases rather than generic examples.
What working practically with Copilot involves
Practising in your own context
You learn fastest with tasks you will need to do again tomorrow.
Consistent prompting
Instead of improvising each time, use a consistent way to give context, purpose and the result you want.
Checking AI output critically
An answer can sound convincing and still be incomplete. Checking where information comes from is part of using it.
From experiment to repeatable practice
Something that works once only becomes valuable when you can repeat it deliberately.
What this means for training
Good Microsoft Copilot training lets participants do the work themselves. How GAIN at work approaches this, and what a session involves, is described on our training page.
Curious how a session works? Read more about learning to work with Microsoft Copilot in practice.