AI at Work: A Practical Course for Teams and Managers

For people who don’t code. Use AI assistants well in daily work, write prompts that get results, keep company data safe, and pick the right use cases for your team.

Your team already uses AI, with or without a plan. This course turns scattered experiments into good habits. You learn how assistants work in plain words, write prompts with context, examples, and checks, use AI for writing, analysis, meetings, and spreadsheets, and spot the cases where it gets things wrong. You set simple data rules your company can follow, and finish with a short list of use cases for your own team, each with a way to measure the time it saves. No code, in English, French, or Arabic.

What you will be able to do

• Explain what AI assistants can and can’t do, without jargon
• Write prompts with context, examples, and a check step
• Apply clear data rules so private information stays private
• Leave with three use cases for your team and a way to measure each

Before you start

• No coding needed
• Access to an AI assistant at work

Course outline

1. How AI assistants work: A plain-words explanation you can give your team. A one-page “what it can and can’t do” sheet.
2. Prompts that get results: Prompts with context, examples, and a check step. Your personal prompt library.
3. Writing, analysis, and meetings: Drafts, summaries, and spreadsheet help on your real tasks. Three workflows you will reuse every week.
4. When AI gets it wrong: A habit for checking facts, numbers, and sources. A short review checklist.
5. Data and company rules: Simple rules for what can and can’t go into an assistant. A data policy draft for your team.
6. Use cases and value: A ranked list of use cases for your team. Three use cases, each with a time-saved measure.

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