"Prompt engineering course" covers two very different things. One is technical: designing prompts for AI products, testing them systematically and working with APIs. The other is practical: getting consistently good results from AI assistants in everyday work. Most managers need the second, plus the judgement to check AI output and the skills to help their team use AI well.
Two kinds of prompt engineering
| Technical prompt engineering | Business prompting | |
|---|---|---|
| For | Developers, AI product teams | Managers and professionals |
| Focus | Prompts inside AI applications, testing, evaluation | Briefing AI assistants for real work tasks |
| Tools | APIs, evaluation frameworks | ChatGPT, Copilot, Gemini, Claude |
| Coding | Often | None |
What business prompting actually involves
Give context
Who is the audience, what is the situation, what do you already know? AI produces generic answers when it has generic input.
Set a role and goal
"Act as a finance director reviewing this budget for risks" works far better than "check this".
Show an example
An example of the tone, structure or format you want improves results quickly.
Ask for a format
Bullet points, a table, a one-page summary, three options with pros and cons.
Refine, do not restart
Treat the first answer as a draft. Ask for changes: shorter, more specific, more sceptical.
Build a prompt library
Save prompts that work for your recurring tasks and share them with your team. Our earlier guide to learning prompt engineering for business has examples.
What managers need beyond prompting
- Checking output: spotting errors, gaps and invented facts.
- Safe use: knowing what information must not be entered.
- Choosing tasks: knowing where AI genuinely helps.
- Leading adoption: helping a team move from occasional to effective use.
A prompt engineering course that only teaches clever prompts misses most of this.
When a technical prompt engineering course makes sense
If you are building AI features into a product, designing customer-facing AI or evaluating AI systems at scale, a technical course is valuable. For most managers, it teaches the wrong things.
A practical alternative
Our Leading AI Innovation & Organisational Transformation course includes a full module on prompts that work, with practice on your own tasks in ChatGPT, Microsoft Copilot, Gemini and Claude, plus safe use and leading your team's adoption. If your organisation uses Copilot, see also Microsoft Copilot training for teams.
Frequently asked questions
Is prompt engineering a skill managers should learn?
Yes, in its practical form. Briefing AI clearly and refining answers is one of the highest-return skills for any professional using AI.
How long does it take to get good at prompting?
A few hours of focused practice on your own tasks makes a big difference, with continued improvement as you use AI daily.
Will prompt engineering become unnecessary as AI improves?
AI is getting better at understanding plain instructions, but clear thinking about context, goals and quality will remain valuable.