Prompt Engineering for Work

Steve Ballinger concentrates on the work people repeat: drafting, planning and turning a rough request into a usable instruction. The compact curriculum introduces prompting, then develops templates and a habit of reviewing the response. It is a practical starting point for office tasks, with less emphasis on programming or model deployment.

What you will learn

• Give a model the task, context and output format it needs.
• Refine an unsatisfactory response through a more precise follow-up.
• Build reusable instructions for recurring workplace tasks.

Who this suits

Choose this if you want an introduction you can apply to ordinary work before committing to a longer technical course. No programming background is required by the provider.

Before you enroll

A fluent answer can still contain an error. Keep confidential work information out of practice prompts, and check any claim that could affect a customer or a business decision.

Udemy sells this course separately; promotions and subscription inclusion can change. Check the current checkout terms. A completion certificate records course completion rather than an accredited qualification. External AI subscriptions or API usage may cost extra.

Put it into practice

Take a fictional weekly update, write a reusable prompt for it, and test that prompt against three different sets of notes. Record where the model invents a detail or omits an important point.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Udemy.

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