AI Skills for Professionals

Course contents (12 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   Microsoft Copilot: Work, transformed

   Lesson video

3. 3

   Map tasks and skills

   Break routine work into skills and find where AI may help.

4. 4

   Define tasks and work with tools

   Specify the task, context, constraints, and criteria for checking the response.

5. 5

   Check information and results professionally

   Verify evidence, completeness, bias, and impact before delivering work.

6. 6

   Collaborate and design workflows

   Share verifiable ways of working and define handoffs between people and AI.

7. 7

   Plan ongoing skills development

   Choose learning goals connected to your work and review the results of practice.

8. 8

   Applied case study and evidence review

   Design a skills plan measured through actual work products

9. 9
   Document0 points1 min

   Course study guide

   A practical guide to the course lessons, with Thai and English editions.

10. 10
    Document0 points1 min

    Practical workbook

    Course-based exercises for review and planning a small real-world trial.

11. 11
    Document0 points1 min

    Quick reference

    A concise reference to course topics and review points for use while working.

12. 12

    Post-course assessment

    Review the key ideas from the lessons.