Prepare for the AI Workplace

Course contents (13 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   Microsoft Copilot: Work, transformed

   Lesson video

3. 3

   View work as a set of tasks

   Do not assume AI replaces an entire occupation. Break work into tasks such as gathering information, drafting, quality review, decisions, and communication. Some may be augmented while others require context and accountability.

4. 4

   Map skills

   Skills include framing problems, reading data, checking answers, communicating, understanding users, and collaborating. List skills and evidence of proficiency, then choose a gap connected to a real work goal.

5. 5

   Experiment and measure

   Define the question, scope, data, owner, and stop conditions. Measure quality, time, rework, and user experience against the previous method. Pause if there is no owner or a high risk emerges.

6. 6

   Set team principles

   Agree on permitted tools and data, review methods, disclosure, and accountability when errors occur.

7. 7

   Plan the transition together

   Explain the reasons, scope, and unknowns. Let staff practise and give feedback, provide time and support, and review the workload after the change.

8. 8

   Applied case study and evidence review

   Decompose an existing role to plan skills development

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
    Document0 points1 min

    Implementation planner

    A template for connecting course topics to goals, owners, and evidence of results.

13. 13

    Post-course assessment

    An 8-question quiz to review your understanding.