Choose an AI course around the work you need to do

SHORT ANSWER

Writing, analysis, coding and automation need different exercises. A clear goal makes it easier to choose a course you will actually use.

Svenska Digitalakademin 6 November 2026

A close-up of curved metal forms catching light and shadow. — Photo · Ricardo Gomez Angel

Describe the task before choosing the tool

Write one sentence describing recurring work that takes time. It could be comparing two documents, writing a product description or building a simple page for a new offer. Then describe what a useful result needs to contain. Choosing a course becomes easier when you know what you want to be able to do afterwards.

If the task is unclear, a general introduction to AI at work is a reasonable starting point. If you already work extensively with documents, research and editing may be a better fit. Someone who wants to build needs practice with requirements, testing and troubleshooting rather than only asking for more code.

Decide how to recognise a good result

For a summary, the criteria might be including every decision, adding no unsupported claims and keeping the source traceable. For writing, the criteria could cover message, tone and sources. For a prototype, you need to demonstrate a defined function and what happens when someone makes an error.

Keep a small test set with different test cases. A tool that handles an easy task may struggle with a long document containing contradictions. A useful exercise therefore includes a case where you need to correct, supplement or reject the output.

Allow for review and tool costs

A quick first version is not the same as finished work. Include the time needed to check facts, review text and test behaviour. If a course needs a particular feature, confirm that it is available in the account you plan to use. Tool terms and availability can change.

Use public or fictional practice material when you are unsure what you may share. Knowing when to exclude sensitive information is part of a working method. Your workplace’s rules should determine how its information is handled.

Compare two attempts under the same conditions

When improving an instruction, use the same source material and quality criteria in both attempts. Change one defined element, such as the required output structure. Then review what actually improved and what still needs manual work.

It is easy to mistake a more polished presentation for a more accurate answer. Check the substance before judging the form. Record why you prefer one version so another person can follow your reasoning.

Finish with a method you can repeat

A useful final result does not need to be large. A page describing the task, permitted source material, instructions, review steps and known limitations can become something you use every week. Add one accepted result and one that needed correction.

It also gives you a concrete way to discuss AI skills in an interview. Explain what you did, where the tool helped and which decisions you made yourself. That is more precise than simply claiming proficiency in an application.