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Module
Module 1 of 5Lesson 1 of 1~4 min

Course overview

This course is for professionals who want to use AI assistants every day with a method, without getting lost in the market. Over four modules, you understand what these tools do, learn to phrase your requests and leave with a tested toolkit and a reusable selection grid.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this overview, you will know who the course is for, what you will produce (a tested toolkit and a selection grid) and how the four modules fit together.

Topics covered

  • AI tools
  • AI assistant
  • ChatGPT, Claude, Gemini
  • everyday AI
  • choosing an AI tool

Where it fits

Overview

What will I be able to do by the end of this course?

Lessons in this module

  1. Course overview (this lesson)

What you will learn in the course

This lesson is part of the course Choosing and using AI tools at work

  • Explain how a generative AI assistant works and what it does well or badly, so you know what to ask of it.
  • Identify a tool's limits (fabrications, sources, freshness, data privacy) and the precautions to take before using it.
  • Write a clear request (task, context, data, format, criteria) that produces a usable first result.
  • Diagnose why a response falls short and fix it with a targeted clarification.
  • Select the right tool for a deliverable using a grid of criteria (deliverable, data, sources, cost, language, integration) and justify the choice.
  • Choose the right way of working for a task (conversation, project, deep research, agent) and the level of control that goes with it.
  • Build your toolkit by comparing at least two tools on a real task with criteria written in advance.

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