Module 1 of 4Lesson 1 of 1~4 min
Course introduction
This course is for owners and teams of small businesses who want to turn AI into a real lever, beyond a few experiments. Over three modules, you work on your own case and leave with a first deliverable, a reusable workflow and an AI policy for your team.
Lesson objective
By the end of this introduction, you will know what you are going to produce (a deliverable on your real case, a reusable workflow and an AI policy) and how the three modules get you there.
Topics covered
- AI in business
- AI for small businesses
- AI method
- AI policy
- productivity
Where it fits
Overview
What will I produce in this course, and in what order?
Lessons in this module
- Course introduction (this lesson)
What you will learn in the course
This lesson is part of the course Put AI to work in your business
- Explain, on a concrete case, why an AI assistant makes things up, forgets or misses recent information, and decide how to use it accordingly.
- Sort data before giving it to an AI tool (allowed, anonymize first, forbidden) and configure the tool to match.
- Choose which tasks to hand to AI and how to work with it (automate, assist, delegate) based on value, risk and the data involved.
- Write a complete request (task, context, examples, format, constraints) and improve it over at least two documented iterations.
- Pick the right tool for a deliverable and justify the choice on data, cost, licensing and integration.
- Check AI output against an explicit checklist (facts, figures, sources, tone, compliance) before using it.
- Turn a successful use into a reusable workflow with human checkpoints, and set the team's rules of use in an AI policy.
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